Alsum Farms & Produce Inc., a leading IT firm in software solutions, is hiring a Seasonal IT Specialist to support client software implementations and system optimization. In this role, you'll assist with configuration, testing, and troubleshooting of applications, respond to support tickets, and document technical issues and resolutions. You'll collaborate with engineers and project leads in an innovation-driven, inclusive culture that values learning and mentorship. This seasonal role offers hands-on experience with real client projects, exposure to modern tools, and the opportunity to grow your technical and professional skills. Responsibilities Support configuration, testing, and deployment of software solutions for clients Respond to and resolve IT support tickets related to software performance and access Troubleshoot application and system issues, escalating complex problems as needed Document technical issues, resolutions, and configuration changes clearly Collaborate with engineers and project managers to meet project timelines Assist in user training and create basic how-to guides or knowledge base articles Monitor system performance and report anomalies or improvement opportunities Follow best practices for security, data handling, and change management Participate in team meetings, code or configuration reviews, and knowledge sharing Continuously learn and apply new tools, frameworks, and methodologies used by the team Required Skills Technical support and troubleshooting Software installation and configuration Basic scripting or programming (e.g., Python, Java Script) SQL and database fundamentals Networking fundamentals Operating systems administration (Windows/Linux) Cloud platforms familiarity (e.g., AWS, Azure) Version control (e.g., Git) Documentation and reporting Customer service and communication
09/24/2026
Full time
Alsum Farms & Produce Inc., a leading IT firm in software solutions, is hiring a Seasonal IT Specialist to support client software implementations and system optimization. In this role, you'll assist with configuration, testing, and troubleshooting of applications, respond to support tickets, and document technical issues and resolutions. You'll collaborate with engineers and project leads in an innovation-driven, inclusive culture that values learning and mentorship. This seasonal role offers hands-on experience with real client projects, exposure to modern tools, and the opportunity to grow your technical and professional skills. Responsibilities Support configuration, testing, and deployment of software solutions for clients Respond to and resolve IT support tickets related to software performance and access Troubleshoot application and system issues, escalating complex problems as needed Document technical issues, resolutions, and configuration changes clearly Collaborate with engineers and project managers to meet project timelines Assist in user training and create basic how-to guides or knowledge base articles Monitor system performance and report anomalies or improvement opportunities Follow best practices for security, data handling, and change management Participate in team meetings, code or configuration reviews, and knowledge sharing Continuously learn and apply new tools, frameworks, and methodologies used by the team Required Skills Technical support and troubleshooting Software installation and configuration Basic scripting or programming (e.g., Python, Java Script) SQL and database fundamentals Networking fundamentals Operating systems administration (Windows/Linux) Cloud platforms familiarity (e.g., AWS, Azure) Version control (e.g., Git) Documentation and reporting Customer service and communication
Sierra at XYZ Tech Inc. seeks a Merchandise Associate to support digital product catalog operations for innovative software solutions. In this role, you will maintain accurate product data, update SKUs and pricing, and ensure clean metadata across e commerce and internal systems. You will collaborate with product, sales, and marketing teams to align content with launches and campaigns, analyze inventory and sales reports, and recommend assortment or pricing adjustments. The ideal candidate is detail oriented, tech savvy with strong Excel and data entry skills, and comfortable working in a fast paced, highly collaborative environment. Responsibilities Maintain and update digital product catalog data, including SKUs, pricing, and descriptions Ensure data accuracy and consistency across e-commerce and internal systems Collaborate with product, sales, and marketing to align merchandise data with launches and campaigns Analyze inventory, sales, and assortment reports to identify trends and opportunities Support pricing and assortment recommendations based on data insights Assist with product setup, categorization, and metadata optimization Perform regular data quality audits and resolve discrepancies Coordinate with cross-functional teams to support operational efficiency Required Skills Product data management E-commerce platforms Excel and spreadsheets Data entry and data quality control Basic data analysis and reporting PIM or catalog management systems SKU and pricing management Metadata and content management Cross-functional collaboration Attention to detail
09/24/2026
Full time
Sierra at XYZ Tech Inc. seeks a Merchandise Associate to support digital product catalog operations for innovative software solutions. In this role, you will maintain accurate product data, update SKUs and pricing, and ensure clean metadata across e commerce and internal systems. You will collaborate with product, sales, and marketing teams to align content with launches and campaigns, analyze inventory and sales reports, and recommend assortment or pricing adjustments. The ideal candidate is detail oriented, tech savvy with strong Excel and data entry skills, and comfortable working in a fast paced, highly collaborative environment. Responsibilities Maintain and update digital product catalog data, including SKUs, pricing, and descriptions Ensure data accuracy and consistency across e-commerce and internal systems Collaborate with product, sales, and marketing to align merchandise data with launches and campaigns Analyze inventory, sales, and assortment reports to identify trends and opportunities Support pricing and assortment recommendations based on data insights Assist with product setup, categorization, and metadata optimization Perform regular data quality audits and resolve discrepancies Coordinate with cross-functional teams to support operational efficiency Required Skills Product data management E-commerce platforms Excel and spreadsheets Data entry and data quality control Basic data analysis and reporting PIM or catalog management systems SKU and pricing management Metadata and content management Cross-functional collaboration Attention to detail
Company Description If you're looking for an enjoyable place to work that values your ideas, encourages your growth, rewards you for your excellence and prioritizes work-life harmony (yes, we have a 4-day work week), join us! Who We Are Our founder, Louise Hay, had one wish - to help people improve the quality of their life. Her desire underscores everything we do for our customers, our authors, and our employees. As the largest publisher of personal development books, events & courses we offer a diverse range of products and resources that empower, educate, and inspire. We know that the words we publish can have a deep, lasting impact on people's lives and we're dedicated to using our talents to support positive change in the world by helping all people grow in mind, body, and spirit. We love what we do, and we hope you will too. Job Description Position Summary As our Senior E-Commerce Specialist, you will be Hay House's hands-on Shopify expert, keeping our growing portfolio of Shopify storefronts running smoothly and improving how they perform through day-to-day administration, merchandising, product management, reporting, and integrations. Reporting to the Director of E-Commerce, you'll translate business, marketing, and sales goals into effective customer experiences using Shopify expertise, sound e-commerce judgment, analytics, and technical fluency. The salary range for this position is $65,000 - $75,000. This position is remote and open to candidates residing in eligible U.S. states. Responsibilities and Expertise Manage day-to-day Shopify operations across Hay House storefronts, including product and catalog data, collections, meta fields, navigation, pricing, promotions, merchandising, apps, integrations, and data accuracy. Monitor storefront health, complete QA and troubleshooting, maintain product feeds and social-commerce connections, and escalate technical issues when needed. Lead storefront merchandising and conversion rate optimization using customer and performance data to improve product discovery, navigation, promotions, cross-sells, upsells, conversion, and sales. Partner with Marketing to execute campaigns and promotions in Shopify, and with Development to define requirements, coordinate projects, complete QA, and support production launches. Own e-commerce reporting through Shopify, GA4, and related tools, translating performance data into insights and recommendations. Monitor emerging channels, including social commerce, AI-referred traffic, and agentic commerce. Use approved AI and automation tools, including ChatGPT Enterprise, to improve workflows, merchandising, efficiency, discoverability, and customer experience while maintaining appropriate human oversight. Create and maintain SOPs and process documentation, stay current on Shopify capabilities and e-commerce trends, and recommend improvements that support efficiency, customer experience, and sales. Skills, Knowledge & Abilities Strong e-commerce judgment with the ability to connect catalog data, platform configuration, feeds, integrations, merchandising, and storefront experiences. Strong analytical, problem-solving, and critical-thinking skills, with the ability to turn data into practical recommendations and action. Technical fluency, including the ability to partner with developers, write clear requirements and documentation, and determine when to escalate an issue. Comfortable using AI and automation responsibly, with sound judgment around accuracy, validation, data privacy, and company policies. Highly detail-oriented, proactive, adaptable, and able to manage multiple priorities in a changing e-commerce environment. Strong written and verbal communication skills, with the ability to explain e-commerce and technical information clearly and collaborate effectively with Web, Development, Marketing, Customer Service, and other cross-functional teams. Qualifications Education and/or Experience Bachelor's degree in Marketing, E-Commerce, Business, or a related field, or equivalent professional experience. 3-5 years of direct Shopify administration experience in an enterprise-level or comparably complex e-commerce environment. Experience partnering with technical teams and using analytics to improve e-commerce performance. Experience supporting multiple Shopify storefronts, e-commerce migrations, or a growing multi-site platform. Experience in publishing, media, consumer products, wellness, personal development, or another product-driven industry is a plus. Additional Information Why Should You Apply? Remote Meaningful Work 4-Day Work Week Great Benefits Benefits Comprehensive Medical, Dental, and Vision Insurance PTO, Pay in Lieu of Time Off, and Shared Leave Paid Holidays + Floating Holiday 401k Match Company paid Short-Term & Long-Term Disability Company paid $50K Life/AD&D Insurance Emergency Savings Account + Company Contribution Flexible Spending Gym Membership Discounts Professional Development & Education Assistance Employee Assistance Program (EAP) for you & family Embracing Diversity & EEO Hay House is committed to having a diverse workforce that embodies and reflects the diversity of our global community. As part of this commitment to equitable opportunity and inclusion, we strongly encourage applications from all individuals inclusive of all genders, ethnicities, abilities, sexual orientations, ages, socio-economic backgrounds, religions, and beliefs. Work Location & Eligibility Hay House participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: While this is a remote position, Hay House is only able to employ candidates who reside or willing to relocate to the following states: Arizona, California, Colorado, Connecticut, Florida, Idaho, Illinois, Kansas, Massachusetts, Michigan, Missouri, Montana, Nevada, New Jersey, New Mexico, New York, North Carolina, Oregon, Pennsylvania, South Dakota, Tennessee, Texas, and Washington. Disclosure requirements pertaining to the collection of your personal data: Responsible for processing the information provided in your application is the company specified in the job advertisement, with its registered office as indicated. The company processes your data for the purpose of establishing an employment relationship on the basis of Art. 6 (1) b GDPR / Section 26 (1) sentence 1 BDSG. The retention period for your data is determined by the statutory time limits applicable in the respective country, beginning upon completion of the recruitment process. You can find these here. You can contact the company's Data Protection Officer at the above-mentioned postal address. Further information on data protection and your rights can be found here. Recruiting-Platform powered by SmartRecruiters .
09/24/2026
Full time
Company Description If you're looking for an enjoyable place to work that values your ideas, encourages your growth, rewards you for your excellence and prioritizes work-life harmony (yes, we have a 4-day work week), join us! Who We Are Our founder, Louise Hay, had one wish - to help people improve the quality of their life. Her desire underscores everything we do for our customers, our authors, and our employees. As the largest publisher of personal development books, events & courses we offer a diverse range of products and resources that empower, educate, and inspire. We know that the words we publish can have a deep, lasting impact on people's lives and we're dedicated to using our talents to support positive change in the world by helping all people grow in mind, body, and spirit. We love what we do, and we hope you will too. Job Description Position Summary As our Senior E-Commerce Specialist, you will be Hay House's hands-on Shopify expert, keeping our growing portfolio of Shopify storefronts running smoothly and improving how they perform through day-to-day administration, merchandising, product management, reporting, and integrations. Reporting to the Director of E-Commerce, you'll translate business, marketing, and sales goals into effective customer experiences using Shopify expertise, sound e-commerce judgment, analytics, and technical fluency. The salary range for this position is $65,000 - $75,000. This position is remote and open to candidates residing in eligible U.S. states. Responsibilities and Expertise Manage day-to-day Shopify operations across Hay House storefronts, including product and catalog data, collections, meta fields, navigation, pricing, promotions, merchandising, apps, integrations, and data accuracy. Monitor storefront health, complete QA and troubleshooting, maintain product feeds and social-commerce connections, and escalate technical issues when needed. Lead storefront merchandising and conversion rate optimization using customer and performance data to improve product discovery, navigation, promotions, cross-sells, upsells, conversion, and sales. Partner with Marketing to execute campaigns and promotions in Shopify, and with Development to define requirements, coordinate projects, complete QA, and support production launches. Own e-commerce reporting through Shopify, GA4, and related tools, translating performance data into insights and recommendations. Monitor emerging channels, including social commerce, AI-referred traffic, and agentic commerce. Use approved AI and automation tools, including ChatGPT Enterprise, to improve workflows, merchandising, efficiency, discoverability, and customer experience while maintaining appropriate human oversight. Create and maintain SOPs and process documentation, stay current on Shopify capabilities and e-commerce trends, and recommend improvements that support efficiency, customer experience, and sales. Skills, Knowledge & Abilities Strong e-commerce judgment with the ability to connect catalog data, platform configuration, feeds, integrations, merchandising, and storefront experiences. Strong analytical, problem-solving, and critical-thinking skills, with the ability to turn data into practical recommendations and action. Technical fluency, including the ability to partner with developers, write clear requirements and documentation, and determine when to escalate an issue. Comfortable using AI and automation responsibly, with sound judgment around accuracy, validation, data privacy, and company policies. Highly detail-oriented, proactive, adaptable, and able to manage multiple priorities in a changing e-commerce environment. Strong written and verbal communication skills, with the ability to explain e-commerce and technical information clearly and collaborate effectively with Web, Development, Marketing, Customer Service, and other cross-functional teams. Qualifications Education and/or Experience Bachelor's degree in Marketing, E-Commerce, Business, or a related field, or equivalent professional experience. 3-5 years of direct Shopify administration experience in an enterprise-level or comparably complex e-commerce environment. Experience partnering with technical teams and using analytics to improve e-commerce performance. Experience supporting multiple Shopify storefronts, e-commerce migrations, or a growing multi-site platform. Experience in publishing, media, consumer products, wellness, personal development, or another product-driven industry is a plus. Additional Information Why Should You Apply? Remote Meaningful Work 4-Day Work Week Great Benefits Benefits Comprehensive Medical, Dental, and Vision Insurance PTO, Pay in Lieu of Time Off, and Shared Leave Paid Holidays + Floating Holiday 401k Match Company paid Short-Term & Long-Term Disability Company paid $50K Life/AD&D Insurance Emergency Savings Account + Company Contribution Flexible Spending Gym Membership Discounts Professional Development & Education Assistance Employee Assistance Program (EAP) for you & family Embracing Diversity & EEO Hay House is committed to having a diverse workforce that embodies and reflects the diversity of our global community. As part of this commitment to equitable opportunity and inclusion, we strongly encourage applications from all individuals inclusive of all genders, ethnicities, abilities, sexual orientations, ages, socio-economic backgrounds, religions, and beliefs. Work Location & Eligibility Hay House participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: While this is a remote position, Hay House is only able to employ candidates who reside or willing to relocate to the following states: Arizona, California, Colorado, Connecticut, Florida, Idaho, Illinois, Kansas, Massachusetts, Michigan, Missouri, Montana, Nevada, New Jersey, New Mexico, New York, North Carolina, Oregon, Pennsylvania, South Dakota, Tennessee, Texas, and Washington. Disclosure requirements pertaining to the collection of your personal data: Responsible for processing the information provided in your application is the company specified in the job advertisement, with its registered office as indicated. The company processes your data for the purpose of establishing an employment relationship on the basis of Art. 6 (1) b GDPR / Section 26 (1) sentence 1 BDSG. The retention period for your data is determined by the statutory time limits applicable in the respective country, beginning upon completion of the recruitment process. You can find these here. You can contact the company's Data Protection Officer at the above-mentioned postal address. Further information on data protection and your rights can be found here. Recruiting-Platform powered by SmartRecruiters .
Company Description If you're looking for an enjoyable place to work that values your ideas, encourages your growth, rewards you for your excellence and prioritizes work-life harmony (yes, we have a 4-day work week), join us! Who We Are Our founder, Louise Hay, had one wish - to help people improve the quality of their life. Her desire underscores everything we do for our customers, our authors, and our employees. As the largest publisher of personal development books, events & courses we offer a diverse range of products and resources that empower, educate, and inspire. We know that the words we publish can have a deep, lasting impact on people's lives and we're dedicated to using our talents to support positive change in the world by helping all people grow in mind, body, and spirit. We love what we do, and we hope you will too. Job Description Position Summary As our Senior E-Commerce Specialist, you will be Hay House's hands-on Shopify expert, keeping our growing portfolio of Shopify storefronts running smoothly and improving how they perform through day-to-day administration, merchandising, product management, reporting, and integrations. Reporting to the Director of E-Commerce, you'll translate business, marketing, and sales goals into effective customer experiences using Shopify expertise, sound e-commerce judgment, analytics, and technical fluency. The salary range for this position is $65,000 - $75,000. This position is remote and open to candidates residing in eligible U.S. states. Responsibilities and Expertise Manage day-to-day Shopify operations across Hay House storefronts, including product and catalog data, collections, meta fields, navigation, pricing, promotions, merchandising, apps, integrations, and data accuracy. Monitor storefront health, complete QA and troubleshooting, maintain product feeds and social-commerce connections, and escalate technical issues when needed. Lead storefront merchandising and conversion rate optimization using customer and performance data to improve product discovery, navigation, promotions, cross-sells, upsells, conversion, and sales. Partner with Marketing to execute campaigns and promotions in Shopify, and with Development to define requirements, coordinate projects, complete QA, and support production launches. Own e-commerce reporting through Shopify, GA4, and related tools, translating performance data into insights and recommendations. Monitor emerging channels, including social commerce, AI-referred traffic, and agentic commerce. Use approved AI and automation tools, including ChatGPT Enterprise, to improve workflows, merchandising, efficiency, discoverability, and customer experience while maintaining appropriate human oversight. Create and maintain SOPs and process documentation, stay current on Shopify capabilities and e-commerce trends, and recommend improvements that support efficiency, customer experience, and sales. Skills, Knowledge & Abilities Strong e-commerce judgment with the ability to connect catalog data, platform configuration, feeds, integrations, merchandising, and storefront experiences. Strong analytical, problem-solving, and critical-thinking skills, with the ability to turn data into practical recommendations and action. Technical fluency, including the ability to partner with developers, write clear requirements and documentation, and determine when to escalate an issue. Comfortable using AI and automation responsibly, with sound judgment around accuracy, validation, data privacy, and company policies. Highly detail-oriented, proactive, adaptable, and able to manage multiple priorities in a changing e-commerce environment. Strong written and verbal communication skills, with the ability to explain e-commerce and technical information clearly and collaborate effectively with Web, Development, Marketing, Customer Service, and other cross-functional teams. Qualifications Education and/or Experience Bachelor's degree in Marketing, E-Commerce, Business, or a related field, or equivalent professional experience. 3-5 years of direct Shopify administration experience in an enterprise-level or comparably complex e-commerce environment. Experience partnering with technical teams and using analytics to improve e-commerce performance. Experience supporting multiple Shopify storefronts, e-commerce migrations, or a growing multi-site platform. Experience in publishing, media, consumer products, wellness, personal development, or another product-driven industry is a plus. Additional Information Why Should You Apply? Remote Meaningful Work 4-Day Work Week Great Benefits Benefits Comprehensive Medical, Dental, and Vision Insurance PTO, Pay in Lieu of Time Off, and Shared Leave Paid Holidays + Floating Holiday 401k Match Company paid Short-Term & Long-Term Disability Company paid $50K Life/AD&D Insurance Emergency Savings Account + Company Contribution Flexible Spending Gym Membership Discounts Professional Development & Education Assistance Employee Assistance Program (EAP) for you & family Embracing Diversity & EEO Hay House is committed to having a diverse workforce that embodies and reflects the diversity of our global community. As part of this commitment to equitable opportunity and inclusion, we strongly encourage applications from all individuals inclusive of all genders, ethnicities, abilities, sexual orientations, ages, socio-economic backgrounds, religions, and beliefs. Work Location & Eligibility Hay House participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: While this is a remote position, Hay House is only able to employ candidates who reside or willing to relocate to the following states: Arizona, California, Colorado, Connecticut, Florida, Idaho, Illinois, Kansas, Massachusetts, Michigan, Missouri, Montana, Nevada, New Jersey, New Mexico, New York, North Carolina, Oregon, Pennsylvania, South Dakota, Tennessee, Texas, and Washington. Disclosure requirements pertaining to the collection of your personal data: Responsible for processing the information provided in your application is the company specified in the job advertisement, with its registered office as indicated. The company processes your data for the purpose of establishing an employment relationship on the basis of Art. 6 (1) b GDPR / Section 26 (1) sentence 1 BDSG. The retention period for your data is determined by the statutory time limits applicable in the respective country, beginning upon completion of the recruitment process. You can find these here. You can contact the company's Data Protection Officer at the above-mentioned postal address. Further information on data protection and your rights can be found here. Recruiting-Platform powered by SmartRecruiters .
09/24/2026
Full time
Company Description If you're looking for an enjoyable place to work that values your ideas, encourages your growth, rewards you for your excellence and prioritizes work-life harmony (yes, we have a 4-day work week), join us! Who We Are Our founder, Louise Hay, had one wish - to help people improve the quality of their life. Her desire underscores everything we do for our customers, our authors, and our employees. As the largest publisher of personal development books, events & courses we offer a diverse range of products and resources that empower, educate, and inspire. We know that the words we publish can have a deep, lasting impact on people's lives and we're dedicated to using our talents to support positive change in the world by helping all people grow in mind, body, and spirit. We love what we do, and we hope you will too. Job Description Position Summary As our Senior E-Commerce Specialist, you will be Hay House's hands-on Shopify expert, keeping our growing portfolio of Shopify storefronts running smoothly and improving how they perform through day-to-day administration, merchandising, product management, reporting, and integrations. Reporting to the Director of E-Commerce, you'll translate business, marketing, and sales goals into effective customer experiences using Shopify expertise, sound e-commerce judgment, analytics, and technical fluency. The salary range for this position is $65,000 - $75,000. This position is remote and open to candidates residing in eligible U.S. states. Responsibilities and Expertise Manage day-to-day Shopify operations across Hay House storefronts, including product and catalog data, collections, meta fields, navigation, pricing, promotions, merchandising, apps, integrations, and data accuracy. Monitor storefront health, complete QA and troubleshooting, maintain product feeds and social-commerce connections, and escalate technical issues when needed. Lead storefront merchandising and conversion rate optimization using customer and performance data to improve product discovery, navigation, promotions, cross-sells, upsells, conversion, and sales. Partner with Marketing to execute campaigns and promotions in Shopify, and with Development to define requirements, coordinate projects, complete QA, and support production launches. Own e-commerce reporting through Shopify, GA4, and related tools, translating performance data into insights and recommendations. Monitor emerging channels, including social commerce, AI-referred traffic, and agentic commerce. Use approved AI and automation tools, including ChatGPT Enterprise, to improve workflows, merchandising, efficiency, discoverability, and customer experience while maintaining appropriate human oversight. Create and maintain SOPs and process documentation, stay current on Shopify capabilities and e-commerce trends, and recommend improvements that support efficiency, customer experience, and sales. Skills, Knowledge & Abilities Strong e-commerce judgment with the ability to connect catalog data, platform configuration, feeds, integrations, merchandising, and storefront experiences. Strong analytical, problem-solving, and critical-thinking skills, with the ability to turn data into practical recommendations and action. Technical fluency, including the ability to partner with developers, write clear requirements and documentation, and determine when to escalate an issue. Comfortable using AI and automation responsibly, with sound judgment around accuracy, validation, data privacy, and company policies. Highly detail-oriented, proactive, adaptable, and able to manage multiple priorities in a changing e-commerce environment. Strong written and verbal communication skills, with the ability to explain e-commerce and technical information clearly and collaborate effectively with Web, Development, Marketing, Customer Service, and other cross-functional teams. Qualifications Education and/or Experience Bachelor's degree in Marketing, E-Commerce, Business, or a related field, or equivalent professional experience. 3-5 years of direct Shopify administration experience in an enterprise-level or comparably complex e-commerce environment. Experience partnering with technical teams and using analytics to improve e-commerce performance. Experience supporting multiple Shopify storefronts, e-commerce migrations, or a growing multi-site platform. Experience in publishing, media, consumer products, wellness, personal development, or another product-driven industry is a plus. Additional Information Why Should You Apply? Remote Meaningful Work 4-Day Work Week Great Benefits Benefits Comprehensive Medical, Dental, and Vision Insurance PTO, Pay in Lieu of Time Off, and Shared Leave Paid Holidays + Floating Holiday 401k Match Company paid Short-Term & Long-Term Disability Company paid $50K Life/AD&D Insurance Emergency Savings Account + Company Contribution Flexible Spending Gym Membership Discounts Professional Development & Education Assistance Employee Assistance Program (EAP) for you & family Embracing Diversity & EEO Hay House is committed to having a diverse workforce that embodies and reflects the diversity of our global community. As part of this commitment to equitable opportunity and inclusion, we strongly encourage applications from all individuals inclusive of all genders, ethnicities, abilities, sexual orientations, ages, socio-economic backgrounds, religions, and beliefs. Work Location & Eligibility Hay House participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: While this is a remote position, Hay House is only able to employ candidates who reside or willing to relocate to the following states: Arizona, California, Colorado, Connecticut, Florida, Idaho, Illinois, Kansas, Massachusetts, Michigan, Missouri, Montana, Nevada, New Jersey, New Mexico, New York, North Carolina, Oregon, Pennsylvania, South Dakota, Tennessee, Texas, and Washington. Disclosure requirements pertaining to the collection of your personal data: Responsible for processing the information provided in your application is the company specified in the job advertisement, with its registered office as indicated. The company processes your data for the purpose of establishing an employment relationship on the basis of Art. 6 (1) b GDPR / Section 26 (1) sentence 1 BDSG. The retention period for your data is determined by the statutory time limits applicable in the respective country, beginning upon completion of the recruitment process. You can find these here. You can contact the company's Data Protection Officer at the above-mentioned postal address. Further information on data protection and your rights can be found here. Recruiting-Platform powered by SmartRecruiters .
Company Description If you're looking for an enjoyable place to work that values your ideas, encourages your growth, rewards you for your excellence and prioritizes work-life harmony (yes, we have a 4-day work week), join us! Who We Are Our founder, Louise Hay, had one wish - to help people improve the quality of their life. Her desire underscores everything we do for our customers, our authors, and our employees. As the largest publisher of personal development books, events & courses we offer a diverse range of products and resources that empower, educate, and inspire. We know that the words we publish can have a deep, lasting impact on people's lives and we're dedicated to using our talents to support positive change in the world by helping all people grow in mind, body, and spirit. We love what we do, and we hope you will too. Job Description Position Summary As our Senior E-Commerce Specialist, you will be Hay House's hands-on Shopify expert, keeping our growing portfolio of Shopify storefronts running smoothly and improving how they perform through day-to-day administration, merchandising, product management, reporting, and integrations. Reporting to the Director of E-Commerce, you'll translate business, marketing, and sales goals into effective customer experiences using Shopify expertise, sound e-commerce judgment, analytics, and technical fluency. The salary range for this position is $65,000 - $75,000. This position is remote and open to candidates residing in eligible U.S. states. Responsibilities and Expertise Manage day-to-day Shopify operations across Hay House storefronts, including product and catalog data, collections, meta fields, navigation, pricing, promotions, merchandising, apps, integrations, and data accuracy. Monitor storefront health, complete QA and troubleshooting, maintain product feeds and social-commerce connections, and escalate technical issues when needed. Lead storefront merchandising and conversion rate optimization using customer and performance data to improve product discovery, navigation, promotions, cross-sells, upsells, conversion, and sales. Partner with Marketing to execute campaigns and promotions in Shopify, and with Development to define requirements, coordinate projects, complete QA, and support production launches. Own e-commerce reporting through Shopify, GA4, and related tools, translating performance data into insights and recommendations. Monitor emerging channels, including social commerce, AI-referred traffic, and agentic commerce. Use approved AI and automation tools, including ChatGPT Enterprise, to improve workflows, merchandising, efficiency, discoverability, and customer experience while maintaining appropriate human oversight. Create and maintain SOPs and process documentation, stay current on Shopify capabilities and e-commerce trends, and recommend improvements that support efficiency, customer experience, and sales. Skills, Knowledge & Abilities Strong e-commerce judgment with the ability to connect catalog data, platform configuration, feeds, integrations, merchandising, and storefront experiences. Strong analytical, problem-solving, and critical-thinking skills, with the ability to turn data into practical recommendations and action. Technical fluency, including the ability to partner with developers, write clear requirements and documentation, and determine when to escalate an issue. Comfortable using AI and automation responsibly, with sound judgment around accuracy, validation, data privacy, and company policies. Highly detail-oriented, proactive, adaptable, and able to manage multiple priorities in a changing e-commerce environment. Strong written and verbal communication skills, with the ability to explain e-commerce and technical information clearly and collaborate effectively with Web, Development, Marketing, Customer Service, and other cross-functional teams. Qualifications Education and/or Experience Bachelor's degree in Marketing, E-Commerce, Business, or a related field, or equivalent professional experience. 3-5 years of direct Shopify administration experience in an enterprise-level or comparably complex e-commerce environment. Experience partnering with technical teams and using analytics to improve e-commerce performance. Experience supporting multiple Shopify storefronts, e-commerce migrations, or a growing multi-site platform. Experience in publishing, media, consumer products, wellness, personal development, or another product-driven industry is a plus. Additional Information Why Should You Apply? Remote Meaningful Work 4-Day Work Week Great Benefits Benefits Comprehensive Medical, Dental, and Vision Insurance PTO, Pay in Lieu of Time Off, and Shared Leave Paid Holidays + Floating Holiday 401k Match Company paid Short-Term & Long-Term Disability Company paid $50K Life/AD&D Insurance Emergency Savings Account + Company Contribution Flexible Spending Gym Membership Discounts Professional Development & Education Assistance Employee Assistance Program (EAP) for you & family Embracing Diversity & EEO Hay House is committed to having a diverse workforce that embodies and reflects the diversity of our global community. As part of this commitment to equitable opportunity and inclusion, we strongly encourage applications from all individuals inclusive of all genders, ethnicities, abilities, sexual orientations, ages, socio-economic backgrounds, religions, and beliefs. Work Location & Eligibility Hay House participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: While this is a remote position, Hay House is only able to employ candidates who reside or willing to relocate to the following states: Arizona, California, Colorado, Connecticut, Florida, Idaho, Illinois, Kansas, Massachusetts, Michigan, Missouri, Montana, Nevada, New Jersey, New Mexico, New York, North Carolina, Oregon, Pennsylvania, South Dakota, Tennessee, Texas, and Washington. Disclosure requirements pertaining to the collection of your personal data: Responsible for processing the information provided in your application is the company specified in the job advertisement, with its registered office as indicated. The company processes your data for the purpose of establishing an employment relationship on the basis of Art. 6 (1) b GDPR / Section 26 (1) sentence 1 BDSG. The retention period for your data is determined by the statutory time limits applicable in the respective country, beginning upon completion of the recruitment process. You can find these here. You can contact the company's Data Protection Officer at the above-mentioned postal address. Further information on data protection and your rights can be found here. Recruiting-Platform powered by SmartRecruiters .
09/24/2026
Full time
Company Description If you're looking for an enjoyable place to work that values your ideas, encourages your growth, rewards you for your excellence and prioritizes work-life harmony (yes, we have a 4-day work week), join us! Who We Are Our founder, Louise Hay, had one wish - to help people improve the quality of their life. Her desire underscores everything we do for our customers, our authors, and our employees. As the largest publisher of personal development books, events & courses we offer a diverse range of products and resources that empower, educate, and inspire. We know that the words we publish can have a deep, lasting impact on people's lives and we're dedicated to using our talents to support positive change in the world by helping all people grow in mind, body, and spirit. We love what we do, and we hope you will too. Job Description Position Summary As our Senior E-Commerce Specialist, you will be Hay House's hands-on Shopify expert, keeping our growing portfolio of Shopify storefronts running smoothly and improving how they perform through day-to-day administration, merchandising, product management, reporting, and integrations. Reporting to the Director of E-Commerce, you'll translate business, marketing, and sales goals into effective customer experiences using Shopify expertise, sound e-commerce judgment, analytics, and technical fluency. The salary range for this position is $65,000 - $75,000. This position is remote and open to candidates residing in eligible U.S. states. Responsibilities and Expertise Manage day-to-day Shopify operations across Hay House storefronts, including product and catalog data, collections, meta fields, navigation, pricing, promotions, merchandising, apps, integrations, and data accuracy. Monitor storefront health, complete QA and troubleshooting, maintain product feeds and social-commerce connections, and escalate technical issues when needed. Lead storefront merchandising and conversion rate optimization using customer and performance data to improve product discovery, navigation, promotions, cross-sells, upsells, conversion, and sales. Partner with Marketing to execute campaigns and promotions in Shopify, and with Development to define requirements, coordinate projects, complete QA, and support production launches. Own e-commerce reporting through Shopify, GA4, and related tools, translating performance data into insights and recommendations. Monitor emerging channels, including social commerce, AI-referred traffic, and agentic commerce. Use approved AI and automation tools, including ChatGPT Enterprise, to improve workflows, merchandising, efficiency, discoverability, and customer experience while maintaining appropriate human oversight. Create and maintain SOPs and process documentation, stay current on Shopify capabilities and e-commerce trends, and recommend improvements that support efficiency, customer experience, and sales. Skills, Knowledge & Abilities Strong e-commerce judgment with the ability to connect catalog data, platform configuration, feeds, integrations, merchandising, and storefront experiences. Strong analytical, problem-solving, and critical-thinking skills, with the ability to turn data into practical recommendations and action. Technical fluency, including the ability to partner with developers, write clear requirements and documentation, and determine when to escalate an issue. Comfortable using AI and automation responsibly, with sound judgment around accuracy, validation, data privacy, and company policies. Highly detail-oriented, proactive, adaptable, and able to manage multiple priorities in a changing e-commerce environment. Strong written and verbal communication skills, with the ability to explain e-commerce and technical information clearly and collaborate effectively with Web, Development, Marketing, Customer Service, and other cross-functional teams. Qualifications Education and/or Experience Bachelor's degree in Marketing, E-Commerce, Business, or a related field, or equivalent professional experience. 3-5 years of direct Shopify administration experience in an enterprise-level or comparably complex e-commerce environment. Experience partnering with technical teams and using analytics to improve e-commerce performance. Experience supporting multiple Shopify storefronts, e-commerce migrations, or a growing multi-site platform. Experience in publishing, media, consumer products, wellness, personal development, or another product-driven industry is a plus. Additional Information Why Should You Apply? Remote Meaningful Work 4-Day Work Week Great Benefits Benefits Comprehensive Medical, Dental, and Vision Insurance PTO, Pay in Lieu of Time Off, and Shared Leave Paid Holidays + Floating Holiday 401k Match Company paid Short-Term & Long-Term Disability Company paid $50K Life/AD&D Insurance Emergency Savings Account + Company Contribution Flexible Spending Gym Membership Discounts Professional Development & Education Assistance Employee Assistance Program (EAP) for you & family Embracing Diversity & EEO Hay House is committed to having a diverse workforce that embodies and reflects the diversity of our global community. As part of this commitment to equitable opportunity and inclusion, we strongly encourage applications from all individuals inclusive of all genders, ethnicities, abilities, sexual orientations, ages, socio-economic backgrounds, religions, and beliefs. Work Location & Eligibility Hay House participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: While this is a remote position, Hay House is only able to employ candidates who reside or willing to relocate to the following states: Arizona, California, Colorado, Connecticut, Florida, Idaho, Illinois, Kansas, Massachusetts, Michigan, Missouri, Montana, Nevada, New Jersey, New Mexico, New York, North Carolina, Oregon, Pennsylvania, South Dakota, Tennessee, Texas, and Washington. Disclosure requirements pertaining to the collection of your personal data: Responsible for processing the information provided in your application is the company specified in the job advertisement, with its registered office as indicated. The company processes your data for the purpose of establishing an employment relationship on the basis of Art. 6 (1) b GDPR / Section 26 (1) sentence 1 BDSG. The retention period for your data is determined by the statutory time limits applicable in the respective country, beginning upon completion of the recruitment process. You can find these here. You can contact the company's Data Protection Officer at the above-mentioned postal address. Further information on data protection and your rights can be found here. Recruiting-Platform powered by SmartRecruiters .
Company Description If you're looking for an enjoyable place to work that values your ideas, encourages your growth, rewards you for your excellence and prioritizes work-life harmony (yes, we have a 4-day work week), join us! Who We Are Our founder, Louise Hay, had one wish - to help people improve the quality of their life. Her desire underscores everything we do for our customers, our authors, and our employees. As the largest publisher of personal development books, events & courses we offer a diverse range of products and resources that empower, educate, and inspire. We know that the words we publish can have a deep, lasting impact on people's lives and we're dedicated to using our talents to support positive change in the world by helping all people grow in mind, body, and spirit. We love what we do, and we hope you will too. Job Description Position Summary As our Senior E-Commerce Specialist, you will be Hay House's hands-on Shopify expert, keeping our growing portfolio of Shopify storefronts running smoothly and improving how they perform through day-to-day administration, merchandising, product management, reporting, and integrations. Reporting to the Director of E-Commerce, you'll translate business, marketing, and sales goals into effective customer experiences using Shopify expertise, sound e-commerce judgment, analytics, and technical fluency. The salary range for this position is $65,000 - $75,000. This position is remote and open to candidates residing in eligible U.S. states. Responsibilities and Expertise Manage day-to-day Shopify operations across Hay House storefronts, including product and catalog data, collections, meta fields, navigation, pricing, promotions, merchandising, apps, integrations, and data accuracy. Monitor storefront health, complete QA and troubleshooting, maintain product feeds and social-commerce connections, and escalate technical issues when needed. Lead storefront merchandising and conversion rate optimization using customer and performance data to improve product discovery, navigation, promotions, cross-sells, upsells, conversion, and sales. Partner with Marketing to execute campaigns and promotions in Shopify, and with Development to define requirements, coordinate projects, complete QA, and support production launches. Own e-commerce reporting through Shopify, GA4, and related tools, translating performance data into insights and recommendations. Monitor emerging channels, including social commerce, AI-referred traffic, and agentic commerce. Use approved AI and automation tools, including ChatGPT Enterprise, to improve workflows, merchandising, efficiency, discoverability, and customer experience while maintaining appropriate human oversight. Create and maintain SOPs and process documentation, stay current on Shopify capabilities and e-commerce trends, and recommend improvements that support efficiency, customer experience, and sales. Skills, Knowledge & Abilities Strong e-commerce judgment with the ability to connect catalog data, platform configuration, feeds, integrations, merchandising, and storefront experiences. Strong analytical, problem-solving, and critical-thinking skills, with the ability to turn data into practical recommendations and action. Technical fluency, including the ability to partner with developers, write clear requirements and documentation, and determine when to escalate an issue. Comfortable using AI and automation responsibly, with sound judgment around accuracy, validation, data privacy, and company policies. Highly detail-oriented, proactive, adaptable, and able to manage multiple priorities in a changing e-commerce environment. Strong written and verbal communication skills, with the ability to explain e-commerce and technical information clearly and collaborate effectively with Web, Development, Marketing, Customer Service, and other cross-functional teams. Qualifications Education and/or Experience Bachelor's degree in Marketing, E-Commerce, Business, or a related field, or equivalent professional experience. 3-5 years of direct Shopify administration experience in an enterprise-level or comparably complex e-commerce environment. Experience partnering with technical teams and using analytics to improve e-commerce performance. Experience supporting multiple Shopify storefronts, e-commerce migrations, or a growing multi-site platform. Experience in publishing, media, consumer products, wellness, personal development, or another product-driven industry is a plus. Additional Information Why Should You Apply? Remote Meaningful Work 4-Day Work Week Great Benefits Benefits Comprehensive Medical, Dental, and Vision Insurance PTO, Pay in Lieu of Time Off, and Shared Leave Paid Holidays + Floating Holiday 401k Match Company paid Short-Term & Long-Term Disability Company paid $50K Life/AD&D Insurance Emergency Savings Account + Company Contribution Flexible Spending Gym Membership Discounts Professional Development & Education Assistance Employee Assistance Program (EAP) for you & family Embracing Diversity & EEO Hay House is committed to having a diverse workforce that embodies and reflects the diversity of our global community. As part of this commitment to equitable opportunity and inclusion, we strongly encourage applications from all individuals inclusive of all genders, ethnicities, abilities, sexual orientations, ages, socio-economic backgrounds, religions, and beliefs. Work Location & Eligibility Hay House participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: While this is a remote position, Hay House is only able to employ candidates who reside or willing to relocate to the following states: Arizona, California, Colorado, Connecticut, Florida, Idaho, Illinois, Kansas, Massachusetts, Michigan, Missouri, Montana, Nevada, New Jersey, New Mexico, New York, North Carolina, Oregon, Pennsylvania, South Dakota, Tennessee, Texas, and Washington. Disclosure requirements pertaining to the collection of your personal data: Responsible for processing the information provided in your application is the company specified in the job advertisement, with its registered office as indicated. The company processes your data for the purpose of establishing an employment relationship on the basis of Art. 6 (1) b GDPR / Section 26 (1) sentence 1 BDSG. The retention period for your data is determined by the statutory time limits applicable in the respective country, beginning upon completion of the recruitment process. You can find these here. You can contact the company's Data Protection Officer at the above-mentioned postal address. Further information on data protection and your rights can be found here. Recruiting-Platform powered by SmartRecruiters .
09/24/2026
Full time
Company Description If you're looking for an enjoyable place to work that values your ideas, encourages your growth, rewards you for your excellence and prioritizes work-life harmony (yes, we have a 4-day work week), join us! Who We Are Our founder, Louise Hay, had one wish - to help people improve the quality of their life. Her desire underscores everything we do for our customers, our authors, and our employees. As the largest publisher of personal development books, events & courses we offer a diverse range of products and resources that empower, educate, and inspire. We know that the words we publish can have a deep, lasting impact on people's lives and we're dedicated to using our talents to support positive change in the world by helping all people grow in mind, body, and spirit. We love what we do, and we hope you will too. Job Description Position Summary As our Senior E-Commerce Specialist, you will be Hay House's hands-on Shopify expert, keeping our growing portfolio of Shopify storefronts running smoothly and improving how they perform through day-to-day administration, merchandising, product management, reporting, and integrations. Reporting to the Director of E-Commerce, you'll translate business, marketing, and sales goals into effective customer experiences using Shopify expertise, sound e-commerce judgment, analytics, and technical fluency. The salary range for this position is $65,000 - $75,000. This position is remote and open to candidates residing in eligible U.S. states. Responsibilities and Expertise Manage day-to-day Shopify operations across Hay House storefronts, including product and catalog data, collections, meta fields, navigation, pricing, promotions, merchandising, apps, integrations, and data accuracy. Monitor storefront health, complete QA and troubleshooting, maintain product feeds and social-commerce connections, and escalate technical issues when needed. Lead storefront merchandising and conversion rate optimization using customer and performance data to improve product discovery, navigation, promotions, cross-sells, upsells, conversion, and sales. Partner with Marketing to execute campaigns and promotions in Shopify, and with Development to define requirements, coordinate projects, complete QA, and support production launches. Own e-commerce reporting through Shopify, GA4, and related tools, translating performance data into insights and recommendations. Monitor emerging channels, including social commerce, AI-referred traffic, and agentic commerce. Use approved AI and automation tools, including ChatGPT Enterprise, to improve workflows, merchandising, efficiency, discoverability, and customer experience while maintaining appropriate human oversight. Create and maintain SOPs and process documentation, stay current on Shopify capabilities and e-commerce trends, and recommend improvements that support efficiency, customer experience, and sales. Skills, Knowledge & Abilities Strong e-commerce judgment with the ability to connect catalog data, platform configuration, feeds, integrations, merchandising, and storefront experiences. Strong analytical, problem-solving, and critical-thinking skills, with the ability to turn data into practical recommendations and action. Technical fluency, including the ability to partner with developers, write clear requirements and documentation, and determine when to escalate an issue. Comfortable using AI and automation responsibly, with sound judgment around accuracy, validation, data privacy, and company policies. Highly detail-oriented, proactive, adaptable, and able to manage multiple priorities in a changing e-commerce environment. Strong written and verbal communication skills, with the ability to explain e-commerce and technical information clearly and collaborate effectively with Web, Development, Marketing, Customer Service, and other cross-functional teams. Qualifications Education and/or Experience Bachelor's degree in Marketing, E-Commerce, Business, or a related field, or equivalent professional experience. 3-5 years of direct Shopify administration experience in an enterprise-level or comparably complex e-commerce environment. Experience partnering with technical teams and using analytics to improve e-commerce performance. Experience supporting multiple Shopify storefronts, e-commerce migrations, or a growing multi-site platform. Experience in publishing, media, consumer products, wellness, personal development, or another product-driven industry is a plus. Additional Information Why Should You Apply? Remote Meaningful Work 4-Day Work Week Great Benefits Benefits Comprehensive Medical, Dental, and Vision Insurance PTO, Pay in Lieu of Time Off, and Shared Leave Paid Holidays + Floating Holiday 401k Match Company paid Short-Term & Long-Term Disability Company paid $50K Life/AD&D Insurance Emergency Savings Account + Company Contribution Flexible Spending Gym Membership Discounts Professional Development & Education Assistance Employee Assistance Program (EAP) for you & family Embracing Diversity & EEO Hay House is committed to having a diverse workforce that embodies and reflects the diversity of our global community. As part of this commitment to equitable opportunity and inclusion, we strongly encourage applications from all individuals inclusive of all genders, ethnicities, abilities, sexual orientations, ages, socio-economic backgrounds, religions, and beliefs. Work Location & Eligibility Hay House participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: While this is a remote position, Hay House is only able to employ candidates who reside or willing to relocate to the following states: Arizona, California, Colorado, Connecticut, Florida, Idaho, Illinois, Kansas, Massachusetts, Michigan, Missouri, Montana, Nevada, New Jersey, New Mexico, New York, North Carolina, Oregon, Pennsylvania, South Dakota, Tennessee, Texas, and Washington. Disclosure requirements pertaining to the collection of your personal data: Responsible for processing the information provided in your application is the company specified in the job advertisement, with its registered office as indicated. The company processes your data for the purpose of establishing an employment relationship on the basis of Art. 6 (1) b GDPR / Section 26 (1) sentence 1 BDSG. The retention period for your data is determined by the statutory time limits applicable in the respective country, beginning upon completion of the recruitment process. You can find these here. You can contact the company's Data Protection Officer at the above-mentioned postal address. Further information on data protection and your rights can be found here. Recruiting-Platform powered by SmartRecruiters .
Company Description If you're looking for an enjoyable place to work that values your ideas, encourages your growth, rewards you for your excellence and prioritizes work-life harmony (yes, we have a 4-day work week), join us! Who We Are Our founder, Louise Hay, had one wish - to help people improve the quality of their life. Her desire underscores everything we do for our customers, our authors, and our employees. As the largest publisher of personal development books, events & courses we offer a diverse range of products and resources that empower, educate, and inspire. We know that the words we publish can have a deep, lasting impact on people's lives and we're dedicated to using our talents to support positive change in the world by helping all people grow in mind, body, and spirit. We love what we do, and we hope you will too. Job Description Position Summary As our Senior E-Commerce Specialist, you will be Hay House's hands-on Shopify expert, keeping our growing portfolio of Shopify storefronts running smoothly and improving how they perform through day-to-day administration, merchandising, product management, reporting, and integrations. Reporting to the Director of E-Commerce, you'll translate business, marketing, and sales goals into effective customer experiences using Shopify expertise, sound e-commerce judgment, analytics, and technical fluency. The salary range for this position is $65,000 - $75,000. This position is remote and open to candidates residing in eligible U.S. states. Responsibilities and Expertise Manage day-to-day Shopify operations across Hay House storefronts, including product and catalog data, collections, meta fields, navigation, pricing, promotions, merchandising, apps, integrations, and data accuracy. Monitor storefront health, complete QA and troubleshooting, maintain product feeds and social-commerce connections, and escalate technical issues when needed. Lead storefront merchandising and conversion rate optimization using customer and performance data to improve product discovery, navigation, promotions, cross-sells, upsells, conversion, and sales. Partner with Marketing to execute campaigns and promotions in Shopify, and with Development to define requirements, coordinate projects, complete QA, and support production launches. Own e-commerce reporting through Shopify, GA4, and related tools, translating performance data into insights and recommendations. Monitor emerging channels, including social commerce, AI-referred traffic, and agentic commerce. Use approved AI and automation tools, including ChatGPT Enterprise, to improve workflows, merchandising, efficiency, discoverability, and customer experience while maintaining appropriate human oversight. Create and maintain SOPs and process documentation, stay current on Shopify capabilities and e-commerce trends, and recommend improvements that support efficiency, customer experience, and sales. Skills, Knowledge & Abilities Strong e-commerce judgment with the ability to connect catalog data, platform configuration, feeds, integrations, merchandising, and storefront experiences. Strong analytical, problem-solving, and critical-thinking skills, with the ability to turn data into practical recommendations and action. Technical fluency, including the ability to partner with developers, write clear requirements and documentation, and determine when to escalate an issue. Comfortable using AI and automation responsibly, with sound judgment around accuracy, validation, data privacy, and company policies. Highly detail-oriented, proactive, adaptable, and able to manage multiple priorities in a changing e-commerce environment. Strong written and verbal communication skills, with the ability to explain e-commerce and technical information clearly and collaborate effectively with Web, Development, Marketing, Customer Service, and other cross-functional teams. Qualifications Education and/or Experience Bachelor's degree in Marketing, E-Commerce, Business, or a related field, or equivalent professional experience. 3-5 years of direct Shopify administration experience in an enterprise-level or comparably complex e-commerce environment. Experience partnering with technical teams and using analytics to improve e-commerce performance. Experience supporting multiple Shopify storefronts, e-commerce migrations, or a growing multi-site platform. Experience in publishing, media, consumer products, wellness, personal development, or another product-driven industry is a plus. Additional Information Why Should You Apply? Remote Meaningful Work 4-Day Work Week Great Benefits Benefits Comprehensive Medical, Dental, and Vision Insurance PTO, Pay in Lieu of Time Off, and Shared Leave Paid Holidays + Floating Holiday 401k Match Company paid Short-Term & Long-Term Disability Company paid $50K Life/AD&D Insurance Emergency Savings Account + Company Contribution Flexible Spending Gym Membership Discounts Professional Development & Education Assistance Employee Assistance Program (EAP) for you & family Embracing Diversity & EEO Hay House is committed to having a diverse workforce that embodies and reflects the diversity of our global community. As part of this commitment to equitable opportunity and inclusion, we strongly encourage applications from all individuals inclusive of all genders, ethnicities, abilities, sexual orientations, ages, socio-economic backgrounds, religions, and beliefs. Work Location & Eligibility Hay House participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: While this is a remote position, Hay House is only able to employ candidates who reside or willing to relocate to the following states: Arizona, California, Colorado, Connecticut, Florida, Idaho, Illinois, Kansas, Massachusetts, Michigan, Missouri, Montana, Nevada, New Jersey, New Mexico, New York, North Carolina, Oregon, Pennsylvania, South Dakota, Tennessee, Texas, and Washington. Disclosure requirements pertaining to the collection of your personal data: Responsible for processing the information provided in your application is the company specified in the job advertisement, with its registered office as indicated. The company processes your data for the purpose of establishing an employment relationship on the basis of Art. 6 (1) b GDPR / Section 26 (1) sentence 1 BDSG. The retention period for your data is determined by the statutory time limits applicable in the respective country, beginning upon completion of the recruitment process. You can find these here. You can contact the company's Data Protection Officer at the above-mentioned postal address. Further information on data protection and your rights can be found here. Recruiting-Platform powered by SmartRecruiters .
09/24/2026
Full time
Company Description If you're looking for an enjoyable place to work that values your ideas, encourages your growth, rewards you for your excellence and prioritizes work-life harmony (yes, we have a 4-day work week), join us! Who We Are Our founder, Louise Hay, had one wish - to help people improve the quality of their life. Her desire underscores everything we do for our customers, our authors, and our employees. As the largest publisher of personal development books, events & courses we offer a diverse range of products and resources that empower, educate, and inspire. We know that the words we publish can have a deep, lasting impact on people's lives and we're dedicated to using our talents to support positive change in the world by helping all people grow in mind, body, and spirit. We love what we do, and we hope you will too. Job Description Position Summary As our Senior E-Commerce Specialist, you will be Hay House's hands-on Shopify expert, keeping our growing portfolio of Shopify storefronts running smoothly and improving how they perform through day-to-day administration, merchandising, product management, reporting, and integrations. Reporting to the Director of E-Commerce, you'll translate business, marketing, and sales goals into effective customer experiences using Shopify expertise, sound e-commerce judgment, analytics, and technical fluency. The salary range for this position is $65,000 - $75,000. This position is remote and open to candidates residing in eligible U.S. states. Responsibilities and Expertise Manage day-to-day Shopify operations across Hay House storefronts, including product and catalog data, collections, meta fields, navigation, pricing, promotions, merchandising, apps, integrations, and data accuracy. Monitor storefront health, complete QA and troubleshooting, maintain product feeds and social-commerce connections, and escalate technical issues when needed. Lead storefront merchandising and conversion rate optimization using customer and performance data to improve product discovery, navigation, promotions, cross-sells, upsells, conversion, and sales. Partner with Marketing to execute campaigns and promotions in Shopify, and with Development to define requirements, coordinate projects, complete QA, and support production launches. Own e-commerce reporting through Shopify, GA4, and related tools, translating performance data into insights and recommendations. Monitor emerging channels, including social commerce, AI-referred traffic, and agentic commerce. Use approved AI and automation tools, including ChatGPT Enterprise, to improve workflows, merchandising, efficiency, discoverability, and customer experience while maintaining appropriate human oversight. Create and maintain SOPs and process documentation, stay current on Shopify capabilities and e-commerce trends, and recommend improvements that support efficiency, customer experience, and sales. Skills, Knowledge & Abilities Strong e-commerce judgment with the ability to connect catalog data, platform configuration, feeds, integrations, merchandising, and storefront experiences. Strong analytical, problem-solving, and critical-thinking skills, with the ability to turn data into practical recommendations and action. Technical fluency, including the ability to partner with developers, write clear requirements and documentation, and determine when to escalate an issue. Comfortable using AI and automation responsibly, with sound judgment around accuracy, validation, data privacy, and company policies. Highly detail-oriented, proactive, adaptable, and able to manage multiple priorities in a changing e-commerce environment. Strong written and verbal communication skills, with the ability to explain e-commerce and technical information clearly and collaborate effectively with Web, Development, Marketing, Customer Service, and other cross-functional teams. Qualifications Education and/or Experience Bachelor's degree in Marketing, E-Commerce, Business, or a related field, or equivalent professional experience. 3-5 years of direct Shopify administration experience in an enterprise-level or comparably complex e-commerce environment. Experience partnering with technical teams and using analytics to improve e-commerce performance. Experience supporting multiple Shopify storefronts, e-commerce migrations, or a growing multi-site platform. Experience in publishing, media, consumer products, wellness, personal development, or another product-driven industry is a plus. Additional Information Why Should You Apply? Remote Meaningful Work 4-Day Work Week Great Benefits Benefits Comprehensive Medical, Dental, and Vision Insurance PTO, Pay in Lieu of Time Off, and Shared Leave Paid Holidays + Floating Holiday 401k Match Company paid Short-Term & Long-Term Disability Company paid $50K Life/AD&D Insurance Emergency Savings Account + Company Contribution Flexible Spending Gym Membership Discounts Professional Development & Education Assistance Employee Assistance Program (EAP) for you & family Embracing Diversity & EEO Hay House is committed to having a diverse workforce that embodies and reflects the diversity of our global community. As part of this commitment to equitable opportunity and inclusion, we strongly encourage applications from all individuals inclusive of all genders, ethnicities, abilities, sexual orientations, ages, socio-economic backgrounds, religions, and beliefs. Work Location & Eligibility Hay House participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: While this is a remote position, Hay House is only able to employ candidates who reside or willing to relocate to the following states: Arizona, California, Colorado, Connecticut, Florida, Idaho, Illinois, Kansas, Massachusetts, Michigan, Missouri, Montana, Nevada, New Jersey, New Mexico, New York, North Carolina, Oregon, Pennsylvania, South Dakota, Tennessee, Texas, and Washington. Disclosure requirements pertaining to the collection of your personal data: Responsible for processing the information provided in your application is the company specified in the job advertisement, with its registered office as indicated. The company processes your data for the purpose of establishing an employment relationship on the basis of Art. 6 (1) b GDPR / Section 26 (1) sentence 1 BDSG. The retention period for your data is determined by the statutory time limits applicable in the respective country, beginning upon completion of the recruitment process. You can find these here. You can contact the company's Data Protection Officer at the above-mentioned postal address. Further information on data protection and your rights can be found here. Recruiting-Platform powered by SmartRecruiters .
Company Description If you're looking for an enjoyable place to work that values your ideas, encourages your growth, rewards you for your excellence and prioritizes work-life harmony (yes, we have a 4-day work week), join us! Who We Are Our founder, Louise Hay, had one wish - to help people improve the quality of their life. Her desire underscores everything we do for our customers, our authors, and our employees. As the largest publisher of personal development books, events & courses we offer a diverse range of products and resources that empower, educate, and inspire. We know that the words we publish can have a deep, lasting impact on people's lives and we're dedicated to using our talents to support positive change in the world by helping all people grow in mind, body, and spirit. We love what we do, and we hope you will too. Job Description Position Summary As our Senior E-Commerce Specialist, you will be Hay House's hands-on Shopify expert, keeping our growing portfolio of Shopify storefronts running smoothly and improving how they perform through day-to-day administration, merchandising, product management, reporting, and integrations. Reporting to the Director of E-Commerce, you'll translate business, marketing, and sales goals into effective customer experiences using Shopify expertise, sound e-commerce judgment, analytics, and technical fluency. The salary range for this position is $65,000 - $75,000. This position is remote and open to candidates residing in eligible U.S. states. Responsibilities and Expertise Manage day-to-day Shopify operations across Hay House storefronts, including product and catalog data, collections, meta fields, navigation, pricing, promotions, merchandising, apps, integrations, and data accuracy. Monitor storefront health, complete QA and troubleshooting, maintain product feeds and social-commerce connections, and escalate technical issues when needed. Lead storefront merchandising and conversion rate optimization using customer and performance data to improve product discovery, navigation, promotions, cross-sells, upsells, conversion, and sales. Partner with Marketing to execute campaigns and promotions in Shopify, and with Development to define requirements, coordinate projects, complete QA, and support production launches. Own e-commerce reporting through Shopify, GA4, and related tools, translating performance data into insights and recommendations. Monitor emerging channels, including social commerce, AI-referred traffic, and agentic commerce. Use approved AI and automation tools, including ChatGPT Enterprise, to improve workflows, merchandising, efficiency, discoverability, and customer experience while maintaining appropriate human oversight. Create and maintain SOPs and process documentation, stay current on Shopify capabilities and e-commerce trends, and recommend improvements that support efficiency, customer experience, and sales. Skills, Knowledge & Abilities Strong e-commerce judgment with the ability to connect catalog data, platform configuration, feeds, integrations, merchandising, and storefront experiences. Strong analytical, problem-solving, and critical-thinking skills, with the ability to turn data into practical recommendations and action. Technical fluency, including the ability to partner with developers, write clear requirements and documentation, and determine when to escalate an issue. Comfortable using AI and automation responsibly, with sound judgment around accuracy, validation, data privacy, and company policies. Highly detail-oriented, proactive, adaptable, and able to manage multiple priorities in a changing e-commerce environment. Strong written and verbal communication skills, with the ability to explain e-commerce and technical information clearly and collaborate effectively with Web, Development, Marketing, Customer Service, and other cross-functional teams. Qualifications Education and/or Experience Bachelor's degree in Marketing, E-Commerce, Business, or a related field, or equivalent professional experience. 3-5 years of direct Shopify administration experience in an enterprise-level or comparably complex e-commerce environment. Experience partnering with technical teams and using analytics to improve e-commerce performance. Experience supporting multiple Shopify storefronts, e-commerce migrations, or a growing multi-site platform. Experience in publishing, media, consumer products, wellness, personal development, or another product-driven industry is a plus. Additional Information Why Should You Apply? Remote Meaningful Work 4-Day Work Week Great Benefits Benefits Comprehensive Medical, Dental, and Vision Insurance PTO, Pay in Lieu of Time Off, and Shared Leave Paid Holidays + Floating Holiday 401k Match Company paid Short-Term & Long-Term Disability Company paid $50K Life/AD&D Insurance Emergency Savings Account + Company Contribution Flexible Spending Gym Membership Discounts Professional Development & Education Assistance Employee Assistance Program (EAP) for you & family Embracing Diversity & EEO Hay House is committed to having a diverse workforce that embodies and reflects the diversity of our global community. As part of this commitment to equitable opportunity and inclusion, we strongly encourage applications from all individuals inclusive of all genders, ethnicities, abilities, sexual orientations, ages, socio-economic backgrounds, religions, and beliefs. Work Location & Eligibility Hay House participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: While this is a remote position, Hay House is only able to employ candidates who reside or willing to relocate to the following states: Arizona, California, Colorado, Connecticut, Florida, Idaho, Illinois, Kansas, Massachusetts, Michigan, Missouri, Montana, Nevada, New Jersey, New Mexico, New York, North Carolina, Oregon, Pennsylvania, South Dakota, Tennessee, Texas, and Washington. Disclosure requirements pertaining to the collection of your personal data: Responsible for processing the information provided in your application is the company specified in the job advertisement, with its registered office as indicated. The company processes your data for the purpose of establishing an employment relationship on the basis of Art. 6 (1) b GDPR / Section 26 (1) sentence 1 BDSG. The retention period for your data is determined by the statutory time limits applicable in the respective country, beginning upon completion of the recruitment process. You can find these here. You can contact the company's Data Protection Officer at the above-mentioned postal address. Further information on data protection and your rights can be found here. Recruiting-Platform powered by SmartRecruiters .
09/24/2026
Full time
Company Description If you're looking for an enjoyable place to work that values your ideas, encourages your growth, rewards you for your excellence and prioritizes work-life harmony (yes, we have a 4-day work week), join us! Who We Are Our founder, Louise Hay, had one wish - to help people improve the quality of their life. Her desire underscores everything we do for our customers, our authors, and our employees. As the largest publisher of personal development books, events & courses we offer a diverse range of products and resources that empower, educate, and inspire. We know that the words we publish can have a deep, lasting impact on people's lives and we're dedicated to using our talents to support positive change in the world by helping all people grow in mind, body, and spirit. We love what we do, and we hope you will too. Job Description Position Summary As our Senior E-Commerce Specialist, you will be Hay House's hands-on Shopify expert, keeping our growing portfolio of Shopify storefronts running smoothly and improving how they perform through day-to-day administration, merchandising, product management, reporting, and integrations. Reporting to the Director of E-Commerce, you'll translate business, marketing, and sales goals into effective customer experiences using Shopify expertise, sound e-commerce judgment, analytics, and technical fluency. The salary range for this position is $65,000 - $75,000. This position is remote and open to candidates residing in eligible U.S. states. Responsibilities and Expertise Manage day-to-day Shopify operations across Hay House storefronts, including product and catalog data, collections, meta fields, navigation, pricing, promotions, merchandising, apps, integrations, and data accuracy. Monitor storefront health, complete QA and troubleshooting, maintain product feeds and social-commerce connections, and escalate technical issues when needed. Lead storefront merchandising and conversion rate optimization using customer and performance data to improve product discovery, navigation, promotions, cross-sells, upsells, conversion, and sales. Partner with Marketing to execute campaigns and promotions in Shopify, and with Development to define requirements, coordinate projects, complete QA, and support production launches. Own e-commerce reporting through Shopify, GA4, and related tools, translating performance data into insights and recommendations. Monitor emerging channels, including social commerce, AI-referred traffic, and agentic commerce. Use approved AI and automation tools, including ChatGPT Enterprise, to improve workflows, merchandising, efficiency, discoverability, and customer experience while maintaining appropriate human oversight. Create and maintain SOPs and process documentation, stay current on Shopify capabilities and e-commerce trends, and recommend improvements that support efficiency, customer experience, and sales. Skills, Knowledge & Abilities Strong e-commerce judgment with the ability to connect catalog data, platform configuration, feeds, integrations, merchandising, and storefront experiences. Strong analytical, problem-solving, and critical-thinking skills, with the ability to turn data into practical recommendations and action. Technical fluency, including the ability to partner with developers, write clear requirements and documentation, and determine when to escalate an issue. Comfortable using AI and automation responsibly, with sound judgment around accuracy, validation, data privacy, and company policies. Highly detail-oriented, proactive, adaptable, and able to manage multiple priorities in a changing e-commerce environment. Strong written and verbal communication skills, with the ability to explain e-commerce and technical information clearly and collaborate effectively with Web, Development, Marketing, Customer Service, and other cross-functional teams. Qualifications Education and/or Experience Bachelor's degree in Marketing, E-Commerce, Business, or a related field, or equivalent professional experience. 3-5 years of direct Shopify administration experience in an enterprise-level or comparably complex e-commerce environment. Experience partnering with technical teams and using analytics to improve e-commerce performance. Experience supporting multiple Shopify storefronts, e-commerce migrations, or a growing multi-site platform. Experience in publishing, media, consumer products, wellness, personal development, or another product-driven industry is a plus. Additional Information Why Should You Apply? Remote Meaningful Work 4-Day Work Week Great Benefits Benefits Comprehensive Medical, Dental, and Vision Insurance PTO, Pay in Lieu of Time Off, and Shared Leave Paid Holidays + Floating Holiday 401k Match Company paid Short-Term & Long-Term Disability Company paid $50K Life/AD&D Insurance Emergency Savings Account + Company Contribution Flexible Spending Gym Membership Discounts Professional Development & Education Assistance Employee Assistance Program (EAP) for you & family Embracing Diversity & EEO Hay House is committed to having a diverse workforce that embodies and reflects the diversity of our global community. As part of this commitment to equitable opportunity and inclusion, we strongly encourage applications from all individuals inclusive of all genders, ethnicities, abilities, sexual orientations, ages, socio-economic backgrounds, religions, and beliefs. Work Location & Eligibility Hay House participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: While this is a remote position, Hay House is only able to employ candidates who reside or willing to relocate to the following states: Arizona, California, Colorado, Connecticut, Florida, Idaho, Illinois, Kansas, Massachusetts, Michigan, Missouri, Montana, Nevada, New Jersey, New Mexico, New York, North Carolina, Oregon, Pennsylvania, South Dakota, Tennessee, Texas, and Washington. Disclosure requirements pertaining to the collection of your personal data: Responsible for processing the information provided in your application is the company specified in the job advertisement, with its registered office as indicated. The company processes your data for the purpose of establishing an employment relationship on the basis of Art. 6 (1) b GDPR / Section 26 (1) sentence 1 BDSG. The retention period for your data is determined by the statutory time limits applicable in the respective country, beginning upon completion of the recruitment process. You can find these here. You can contact the company's Data Protection Officer at the above-mentioned postal address. Further information on data protection and your rights can be found here. Recruiting-Platform powered by SmartRecruiters .
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
09/24/2026
Full time
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
Company Description If you're looking for an enjoyable place to work that values your ideas, encourages your growth, rewards you for your excellence and prioritizes work-life harmony (yes, we have a 4-day work week), join us! Who We Are Our founder, Louise Hay, had one wish - to help people improve the quality of their life. Her desire underscores everything we do for our customers, our authors, and our employees. As the largest publisher of personal development books, events & courses we offer a diverse range of products and resources that empower, educate, and inspire. We know that the words we publish can have a deep, lasting impact on people's lives and we're dedicated to using our talents to support positive change in the world by helping all people grow in mind, body, and spirit. We love what we do, and we hope you will too. Job Description Position Summary As our Senior E-Commerce Specialist, you will be Hay House's hands-on Shopify expert, keeping our growing portfolio of Shopify storefronts running smoothly and improving how they perform through day-to-day administration, merchandising, product management, reporting, and integrations. Reporting to the Director of E-Commerce, you'll translate business, marketing, and sales goals into effective customer experiences using Shopify expertise, sound e-commerce judgment, analytics, and technical fluency. The salary range for this position is $65,000 - $75,000. This position is remote and open to candidates residing in eligible U.S. states. Responsibilities and Expertise Manage day-to-day Shopify operations across Hay House storefronts, including product and catalog data, collections, meta fields, navigation, pricing, promotions, merchandising, apps, integrations, and data accuracy. Monitor storefront health, complete QA and troubleshooting, maintain product feeds and social-commerce connections, and escalate technical issues when needed. Lead storefront merchandising and conversion rate optimization using customer and performance data to improve product discovery, navigation, promotions, cross-sells, upsells, conversion, and sales. Partner with Marketing to execute campaigns and promotions in Shopify, and with Development to define requirements, coordinate projects, complete QA, and support production launches. Own e-commerce reporting through Shopify, GA4, and related tools, translating performance data into insights and recommendations. Monitor emerging channels, including social commerce, AI-referred traffic, and agentic commerce. Use approved AI and automation tools, including ChatGPT Enterprise, to improve workflows, merchandising, efficiency, discoverability, and customer experience while maintaining appropriate human oversight. Create and maintain SOPs and process documentation, stay current on Shopify capabilities and e-commerce trends, and recommend improvements that support efficiency, customer experience, and sales. Skills, Knowledge & Abilities Strong e-commerce judgment with the ability to connect catalog data, platform configuration, feeds, integrations, merchandising, and storefront experiences. Strong analytical, problem-solving, and critical-thinking skills, with the ability to turn data into practical recommendations and action. Technical fluency, including the ability to partner with developers, write clear requirements and documentation, and determine when to escalate an issue. Comfortable using AI and automation responsibly, with sound judgment around accuracy, validation, data privacy, and company policies. Highly detail-oriented, proactive, adaptable, and able to manage multiple priorities in a changing e-commerce environment. Strong written and verbal communication skills, with the ability to explain e-commerce and technical information clearly and collaborate effectively with Web, Development, Marketing, Customer Service, and other cross-functional teams. Qualifications Education and/or Experience Bachelor's degree in Marketing, E-Commerce, Business, or a related field, or equivalent professional experience. 3-5 years of direct Shopify administration experience in an enterprise-level or comparably complex e-commerce environment. Experience partnering with technical teams and using analytics to improve e-commerce performance. Experience supporting multiple Shopify storefronts, e-commerce migrations, or a growing multi-site platform. Experience in publishing, media, consumer products, wellness, personal development, or another product-driven industry is a plus. Additional Information Why Should You Apply? Remote Meaningful Work 4-Day Work Week Great Benefits Benefits Comprehensive Medical, Dental, and Vision Insurance PTO, Pay in Lieu of Time Off, and Shared Leave Paid Holidays + Floating Holiday 401k Match Company paid Short-Term & Long-Term Disability Company paid $50K Life/AD&D Insurance Emergency Savings Account + Company Contribution Flexible Spending Gym Membership Discounts Professional Development & Education Assistance Employee Assistance Program (EAP) for you & family Embracing Diversity & EEO Hay House is committed to having a diverse workforce that embodies and reflects the diversity of our global community. As part of this commitment to equitable opportunity and inclusion, we strongly encourage applications from all individuals inclusive of all genders, ethnicities, abilities, sexual orientations, ages, socio-economic backgrounds, religions, and beliefs. Work Location & Eligibility Hay House participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: While this is a remote position, Hay House is only able to employ candidates who reside or willing to relocate to the following states: Arizona, California, Colorado, Connecticut, Florida, Idaho, Illinois, Kansas, Massachusetts, Michigan, Missouri, Montana, Nevada, New Jersey, New Mexico, New York, North Carolina, Oregon, Pennsylvania, South Dakota, Tennessee, Texas, and Washington. Disclosure requirements pertaining to the collection of your personal data: Responsible for processing the information provided in your application is the company specified in the job advertisement, with its registered office as indicated. The company processes your data for the purpose of establishing an employment relationship on the basis of Art. 6 (1) b GDPR / Section 26 (1) sentence 1 BDSG. The retention period for your data is determined by the statutory time limits applicable in the respective country, beginning upon completion of the recruitment process. You can find these here. You can contact the company's Data Protection Officer at the above-mentioned postal address. Further information on data protection and your rights can be found here. Recruiting-Platform powered by SmartRecruiters .
09/24/2026
Full time
Company Description If you're looking for an enjoyable place to work that values your ideas, encourages your growth, rewards you for your excellence and prioritizes work-life harmony (yes, we have a 4-day work week), join us! Who We Are Our founder, Louise Hay, had one wish - to help people improve the quality of their life. Her desire underscores everything we do for our customers, our authors, and our employees. As the largest publisher of personal development books, events & courses we offer a diverse range of products and resources that empower, educate, and inspire. We know that the words we publish can have a deep, lasting impact on people's lives and we're dedicated to using our talents to support positive change in the world by helping all people grow in mind, body, and spirit. We love what we do, and we hope you will too. Job Description Position Summary As our Senior E-Commerce Specialist, you will be Hay House's hands-on Shopify expert, keeping our growing portfolio of Shopify storefronts running smoothly and improving how they perform through day-to-day administration, merchandising, product management, reporting, and integrations. Reporting to the Director of E-Commerce, you'll translate business, marketing, and sales goals into effective customer experiences using Shopify expertise, sound e-commerce judgment, analytics, and technical fluency. The salary range for this position is $65,000 - $75,000. This position is remote and open to candidates residing in eligible U.S. states. Responsibilities and Expertise Manage day-to-day Shopify operations across Hay House storefronts, including product and catalog data, collections, meta fields, navigation, pricing, promotions, merchandising, apps, integrations, and data accuracy. Monitor storefront health, complete QA and troubleshooting, maintain product feeds and social-commerce connections, and escalate technical issues when needed. Lead storefront merchandising and conversion rate optimization using customer and performance data to improve product discovery, navigation, promotions, cross-sells, upsells, conversion, and sales. Partner with Marketing to execute campaigns and promotions in Shopify, and with Development to define requirements, coordinate projects, complete QA, and support production launches. Own e-commerce reporting through Shopify, GA4, and related tools, translating performance data into insights and recommendations. Monitor emerging channels, including social commerce, AI-referred traffic, and agentic commerce. Use approved AI and automation tools, including ChatGPT Enterprise, to improve workflows, merchandising, efficiency, discoverability, and customer experience while maintaining appropriate human oversight. Create and maintain SOPs and process documentation, stay current on Shopify capabilities and e-commerce trends, and recommend improvements that support efficiency, customer experience, and sales. Skills, Knowledge & Abilities Strong e-commerce judgment with the ability to connect catalog data, platform configuration, feeds, integrations, merchandising, and storefront experiences. Strong analytical, problem-solving, and critical-thinking skills, with the ability to turn data into practical recommendations and action. Technical fluency, including the ability to partner with developers, write clear requirements and documentation, and determine when to escalate an issue. Comfortable using AI and automation responsibly, with sound judgment around accuracy, validation, data privacy, and company policies. Highly detail-oriented, proactive, adaptable, and able to manage multiple priorities in a changing e-commerce environment. Strong written and verbal communication skills, with the ability to explain e-commerce and technical information clearly and collaborate effectively with Web, Development, Marketing, Customer Service, and other cross-functional teams. Qualifications Education and/or Experience Bachelor's degree in Marketing, E-Commerce, Business, or a related field, or equivalent professional experience. 3-5 years of direct Shopify administration experience in an enterprise-level or comparably complex e-commerce environment. Experience partnering with technical teams and using analytics to improve e-commerce performance. Experience supporting multiple Shopify storefronts, e-commerce migrations, or a growing multi-site platform. Experience in publishing, media, consumer products, wellness, personal development, or another product-driven industry is a plus. Additional Information Why Should You Apply? Remote Meaningful Work 4-Day Work Week Great Benefits Benefits Comprehensive Medical, Dental, and Vision Insurance PTO, Pay in Lieu of Time Off, and Shared Leave Paid Holidays + Floating Holiday 401k Match Company paid Short-Term & Long-Term Disability Company paid $50K Life/AD&D Insurance Emergency Savings Account + Company Contribution Flexible Spending Gym Membership Discounts Professional Development & Education Assistance Employee Assistance Program (EAP) for you & family Embracing Diversity & EEO Hay House is committed to having a diverse workforce that embodies and reflects the diversity of our global community. As part of this commitment to equitable opportunity and inclusion, we strongly encourage applications from all individuals inclusive of all genders, ethnicities, abilities, sexual orientations, ages, socio-economic backgrounds, religions, and beliefs. Work Location & Eligibility Hay House participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: While this is a remote position, Hay House is only able to employ candidates who reside or willing to relocate to the following states: Arizona, California, Colorado, Connecticut, Florida, Idaho, Illinois, Kansas, Massachusetts, Michigan, Missouri, Montana, Nevada, New Jersey, New Mexico, New York, North Carolina, Oregon, Pennsylvania, South Dakota, Tennessee, Texas, and Washington. Disclosure requirements pertaining to the collection of your personal data: Responsible for processing the information provided in your application is the company specified in the job advertisement, with its registered office as indicated. The company processes your data for the purpose of establishing an employment relationship on the basis of Art. 6 (1) b GDPR / Section 26 (1) sentence 1 BDSG. The retention period for your data is determined by the statutory time limits applicable in the respective country, beginning upon completion of the recruitment process. You can find these here. You can contact the company's Data Protection Officer at the above-mentioned postal address. Further information on data protection and your rights can be found here. Recruiting-Platform powered by SmartRecruiters .
Company Description If you're looking for an enjoyable place to work that values your ideas, encourages your growth, rewards you for your excellence and prioritizes work-life harmony (yes, we have a 4-day work week), join us! Who We Are Our founder, Louise Hay, had one wish - to help people improve the quality of their life. Her desire underscores everything we do for our customers, our authors, and our employees. As the largest publisher of personal development books, events & courses we offer a diverse range of products and resources that empower, educate, and inspire. We know that the words we publish can have a deep, lasting impact on people's lives and we're dedicated to using our talents to support positive change in the world by helping all people grow in mind, body, and spirit. We love what we do, and we hope you will too. Job Description Position Summary As our Senior E-Commerce Specialist, you will be Hay House's hands-on Shopify expert, keeping our growing portfolio of Shopify storefronts running smoothly and improving how they perform through day-to-day administration, merchandising, product management, reporting, and integrations. Reporting to the Director of E-Commerce, you'll translate business, marketing, and sales goals into effective customer experiences using Shopify expertise, sound e-commerce judgment, analytics, and technical fluency. The salary range for this position is $65,000 - $75,000. This position is remote and open to candidates residing in eligible U.S. states. Responsibilities and Expertise Manage day-to-day Shopify operations across Hay House storefronts, including product and catalog data, collections, meta fields, navigation, pricing, promotions, merchandising, apps, integrations, and data accuracy. Monitor storefront health, complete QA and troubleshooting, maintain product feeds and social-commerce connections, and escalate technical issues when needed. Lead storefront merchandising and conversion rate optimization using customer and performance data to improve product discovery, navigation, promotions, cross-sells, upsells, conversion, and sales. Partner with Marketing to execute campaigns and promotions in Shopify, and with Development to define requirements, coordinate projects, complete QA, and support production launches. Own e-commerce reporting through Shopify, GA4, and related tools, translating performance data into insights and recommendations. Monitor emerging channels, including social commerce, AI-referred traffic, and agentic commerce. Use approved AI and automation tools, including ChatGPT Enterprise, to improve workflows, merchandising, efficiency, discoverability, and customer experience while maintaining appropriate human oversight. Create and maintain SOPs and process documentation, stay current on Shopify capabilities and e-commerce trends, and recommend improvements that support efficiency, customer experience, and sales. Skills, Knowledge & Abilities Strong e-commerce judgment with the ability to connect catalog data, platform configuration, feeds, integrations, merchandising, and storefront experiences. Strong analytical, problem-solving, and critical-thinking skills, with the ability to turn data into practical recommendations and action. Technical fluency, including the ability to partner with developers, write clear requirements and documentation, and determine when to escalate an issue. Comfortable using AI and automation responsibly, with sound judgment around accuracy, validation, data privacy, and company policies. Highly detail-oriented, proactive, adaptable, and able to manage multiple priorities in a changing e-commerce environment. Strong written and verbal communication skills, with the ability to explain e-commerce and technical information clearly and collaborate effectively with Web, Development, Marketing, Customer Service, and other cross-functional teams. Qualifications Education and/or Experience Bachelor's degree in Marketing, E-Commerce, Business, or a related field, or equivalent professional experience. 3-5 years of direct Shopify administration experience in an enterprise-level or comparably complex e-commerce environment. Experience partnering with technical teams and using analytics to improve e-commerce performance. Experience supporting multiple Shopify storefronts, e-commerce migrations, or a growing multi-site platform. Experience in publishing, media, consumer products, wellness, personal development, or another product-driven industry is a plus. Additional Information Why Should You Apply? Remote Meaningful Work 4-Day Work Week Great Benefits Benefits Comprehensive Medical, Dental, and Vision Insurance PTO, Pay in Lieu of Time Off, and Shared Leave Paid Holidays + Floating Holiday 401k Match Company paid Short-Term & Long-Term Disability Company paid $50K Life/AD&D Insurance Emergency Savings Account + Company Contribution Flexible Spending Gym Membership Discounts Professional Development & Education Assistance Employee Assistance Program (EAP) for you & family Embracing Diversity & EEO Hay House is committed to having a diverse workforce that embodies and reflects the diversity of our global community. As part of this commitment to equitable opportunity and inclusion, we strongly encourage applications from all individuals inclusive of all genders, ethnicities, abilities, sexual orientations, ages, socio-economic backgrounds, religions, and beliefs. Work Location & Eligibility Hay House participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: While this is a remote position, Hay House is only able to employ candidates who reside or willing to relocate to the following states: Arizona, California, Colorado, Connecticut, Florida, Idaho, Illinois, Kansas, Massachusetts, Michigan, Missouri, Montana, Nevada, New Jersey, New Mexico, New York, North Carolina, Oregon, Pennsylvania, South Dakota, Tennessee, Texas, and Washington. Disclosure requirements pertaining to the collection of your personal data: Responsible for processing the information provided in your application is the company specified in the job advertisement, with its registered office as indicated. The company processes your data for the purpose of establishing an employment relationship on the basis of Art. 6 (1) b GDPR / Section 26 (1) sentence 1 BDSG. The retention period for your data is determined by the statutory time limits applicable in the respective country, beginning upon completion of the recruitment process. You can find these here. You can contact the company's Data Protection Officer at the above-mentioned postal address. Further information on data protection and your rights can be found here. Recruiting-Platform powered by SmartRecruiters .
09/24/2026
Full time
Company Description If you're looking for an enjoyable place to work that values your ideas, encourages your growth, rewards you for your excellence and prioritizes work-life harmony (yes, we have a 4-day work week), join us! Who We Are Our founder, Louise Hay, had one wish - to help people improve the quality of their life. Her desire underscores everything we do for our customers, our authors, and our employees. As the largest publisher of personal development books, events & courses we offer a diverse range of products and resources that empower, educate, and inspire. We know that the words we publish can have a deep, lasting impact on people's lives and we're dedicated to using our talents to support positive change in the world by helping all people grow in mind, body, and spirit. We love what we do, and we hope you will too. Job Description Position Summary As our Senior E-Commerce Specialist, you will be Hay House's hands-on Shopify expert, keeping our growing portfolio of Shopify storefronts running smoothly and improving how they perform through day-to-day administration, merchandising, product management, reporting, and integrations. Reporting to the Director of E-Commerce, you'll translate business, marketing, and sales goals into effective customer experiences using Shopify expertise, sound e-commerce judgment, analytics, and technical fluency. The salary range for this position is $65,000 - $75,000. This position is remote and open to candidates residing in eligible U.S. states. Responsibilities and Expertise Manage day-to-day Shopify operations across Hay House storefronts, including product and catalog data, collections, meta fields, navigation, pricing, promotions, merchandising, apps, integrations, and data accuracy. Monitor storefront health, complete QA and troubleshooting, maintain product feeds and social-commerce connections, and escalate technical issues when needed. Lead storefront merchandising and conversion rate optimization using customer and performance data to improve product discovery, navigation, promotions, cross-sells, upsells, conversion, and sales. Partner with Marketing to execute campaigns and promotions in Shopify, and with Development to define requirements, coordinate projects, complete QA, and support production launches. Own e-commerce reporting through Shopify, GA4, and related tools, translating performance data into insights and recommendations. Monitor emerging channels, including social commerce, AI-referred traffic, and agentic commerce. Use approved AI and automation tools, including ChatGPT Enterprise, to improve workflows, merchandising, efficiency, discoverability, and customer experience while maintaining appropriate human oversight. Create and maintain SOPs and process documentation, stay current on Shopify capabilities and e-commerce trends, and recommend improvements that support efficiency, customer experience, and sales. Skills, Knowledge & Abilities Strong e-commerce judgment with the ability to connect catalog data, platform configuration, feeds, integrations, merchandising, and storefront experiences. Strong analytical, problem-solving, and critical-thinking skills, with the ability to turn data into practical recommendations and action. Technical fluency, including the ability to partner with developers, write clear requirements and documentation, and determine when to escalate an issue. Comfortable using AI and automation responsibly, with sound judgment around accuracy, validation, data privacy, and company policies. Highly detail-oriented, proactive, adaptable, and able to manage multiple priorities in a changing e-commerce environment. Strong written and verbal communication skills, with the ability to explain e-commerce and technical information clearly and collaborate effectively with Web, Development, Marketing, Customer Service, and other cross-functional teams. Qualifications Education and/or Experience Bachelor's degree in Marketing, E-Commerce, Business, or a related field, or equivalent professional experience. 3-5 years of direct Shopify administration experience in an enterprise-level or comparably complex e-commerce environment. Experience partnering with technical teams and using analytics to improve e-commerce performance. Experience supporting multiple Shopify storefronts, e-commerce migrations, or a growing multi-site platform. Experience in publishing, media, consumer products, wellness, personal development, or another product-driven industry is a plus. Additional Information Why Should You Apply? Remote Meaningful Work 4-Day Work Week Great Benefits Benefits Comprehensive Medical, Dental, and Vision Insurance PTO, Pay in Lieu of Time Off, and Shared Leave Paid Holidays + Floating Holiday 401k Match Company paid Short-Term & Long-Term Disability Company paid $50K Life/AD&D Insurance Emergency Savings Account + Company Contribution Flexible Spending Gym Membership Discounts Professional Development & Education Assistance Employee Assistance Program (EAP) for you & family Embracing Diversity & EEO Hay House is committed to having a diverse workforce that embodies and reflects the diversity of our global community. As part of this commitment to equitable opportunity and inclusion, we strongly encourage applications from all individuals inclusive of all genders, ethnicities, abilities, sexual orientations, ages, socio-economic backgrounds, religions, and beliefs. Work Location & Eligibility Hay House participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: While this is a remote position, Hay House is only able to employ candidates who reside or willing to relocate to the following states: Arizona, California, Colorado, Connecticut, Florida, Idaho, Illinois, Kansas, Massachusetts, Michigan, Missouri, Montana, Nevada, New Jersey, New Mexico, New York, North Carolina, Oregon, Pennsylvania, South Dakota, Tennessee, Texas, and Washington. Disclosure requirements pertaining to the collection of your personal data: Responsible for processing the information provided in your application is the company specified in the job advertisement, with its registered office as indicated. The company processes your data for the purpose of establishing an employment relationship on the basis of Art. 6 (1) b GDPR / Section 26 (1) sentence 1 BDSG. The retention period for your data is determined by the statutory time limits applicable in the respective country, beginning upon completion of the recruitment process. You can find these here. You can contact the company's Data Protection Officer at the above-mentioned postal address. Further information on data protection and your rights can be found here. Recruiting-Platform powered by SmartRecruiters .
Company Description If you're looking for an enjoyable place to work that values your ideas, encourages your growth, rewards you for your excellence and prioritizes work-life harmony (yes, we have a 4-day work week), join us! Who We Are Our founder, Louise Hay, had one wish - to help people improve the quality of their life. Her desire underscores everything we do for our customers, our authors, and our employees. As the largest publisher of personal development books, events & courses we offer a diverse range of products and resources that empower, educate, and inspire. We know that the words we publish can have a deep, lasting impact on people's lives and we're dedicated to using our talents to support positive change in the world by helping all people grow in mind, body, and spirit. We love what we do, and we hope you will too. Job Description Position Summary As our Senior E-Commerce Specialist, you will be Hay House's hands-on Shopify expert, keeping our growing portfolio of Shopify storefronts running smoothly and improving how they perform through day-to-day administration, merchandising, product management, reporting, and integrations. Reporting to the Director of E-Commerce, you'll translate business, marketing, and sales goals into effective customer experiences using Shopify expertise, sound e-commerce judgment, analytics, and technical fluency. The salary range for this position is $65,000 - $75,000. This position is remote and open to candidates residing in eligible U.S. states. Responsibilities and Expertise Manage day-to-day Shopify operations across Hay House storefronts, including product and catalog data, collections, meta fields, navigation, pricing, promotions, merchandising, apps, integrations, and data accuracy. Monitor storefront health, complete QA and troubleshooting, maintain product feeds and social-commerce connections, and escalate technical issues when needed. Lead storefront merchandising and conversion rate optimization using customer and performance data to improve product discovery, navigation, promotions, cross-sells, upsells, conversion, and sales. Partner with Marketing to execute campaigns and promotions in Shopify, and with Development to define requirements, coordinate projects, complete QA, and support production launches. Own e-commerce reporting through Shopify, GA4, and related tools, translating performance data into insights and recommendations. Monitor emerging channels, including social commerce, AI-referred traffic, and agentic commerce. Use approved AI and automation tools, including ChatGPT Enterprise, to improve workflows, merchandising, efficiency, discoverability, and customer experience while maintaining appropriate human oversight. Create and maintain SOPs and process documentation, stay current on Shopify capabilities and e-commerce trends, and recommend improvements that support efficiency, customer experience, and sales. Skills, Knowledge & Abilities Strong e-commerce judgment with the ability to connect catalog data, platform configuration, feeds, integrations, merchandising, and storefront experiences. Strong analytical, problem-solving, and critical-thinking skills, with the ability to turn data into practical recommendations and action. Technical fluency, including the ability to partner with developers, write clear requirements and documentation, and determine when to escalate an issue. Comfortable using AI and automation responsibly, with sound judgment around accuracy, validation, data privacy, and company policies. Highly detail-oriented, proactive, adaptable, and able to manage multiple priorities in a changing e-commerce environment. Strong written and verbal communication skills, with the ability to explain e-commerce and technical information clearly and collaborate effectively with Web, Development, Marketing, Customer Service, and other cross-functional teams. Qualifications Education and/or Experience Bachelor's degree in Marketing, E-Commerce, Business, or a related field, or equivalent professional experience. 3-5 years of direct Shopify administration experience in an enterprise-level or comparably complex e-commerce environment. Experience partnering with technical teams and using analytics to improve e-commerce performance. Experience supporting multiple Shopify storefronts, e-commerce migrations, or a growing multi-site platform. Experience in publishing, media, consumer products, wellness, personal development, or another product-driven industry is a plus. Additional Information Why Should You Apply? Remote Meaningful Work 4-Day Work Week Great Benefits Benefits Comprehensive Medical, Dental, and Vision Insurance PTO, Pay in Lieu of Time Off, and Shared Leave Paid Holidays + Floating Holiday 401k Match Company paid Short-Term & Long-Term Disability Company paid $50K Life/AD&D Insurance Emergency Savings Account + Company Contribution Flexible Spending Gym Membership Discounts Professional Development & Education Assistance Employee Assistance Program (EAP) for you & family Embracing Diversity & EEO Hay House is committed to having a diverse workforce that embodies and reflects the diversity of our global community. As part of this commitment to equitable opportunity and inclusion, we strongly encourage applications from all individuals inclusive of all genders, ethnicities, abilities, sexual orientations, ages, socio-economic backgrounds, religions, and beliefs. Work Location & Eligibility Hay House participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: While this is a remote position, Hay House is only able to employ candidates who reside or willing to relocate to the following states: Arizona, California, Colorado, Connecticut, Florida, Idaho, Illinois, Kansas, Massachusetts, Michigan, Missouri, Montana, Nevada, New Jersey, New Mexico, New York, North Carolina, Oregon, Pennsylvania, South Dakota, Tennessee, Texas, and Washington. Disclosure requirements pertaining to the collection of your personal data: Responsible for processing the information provided in your application is the company specified in the job advertisement, with its registered office as indicated. The company processes your data for the purpose of establishing an employment relationship on the basis of Art. 6 (1) b GDPR / Section 26 (1) sentence 1 BDSG. The retention period for your data is determined by the statutory time limits applicable in the respective country, beginning upon completion of the recruitment process. You can find these here. You can contact the company's Data Protection Officer at the above-mentioned postal address. Further information on data protection and your rights can be found here. Recruiting-Platform powered by SmartRecruiters .
09/24/2026
Full time
Company Description If you're looking for an enjoyable place to work that values your ideas, encourages your growth, rewards you for your excellence and prioritizes work-life harmony (yes, we have a 4-day work week), join us! Who We Are Our founder, Louise Hay, had one wish - to help people improve the quality of their life. Her desire underscores everything we do for our customers, our authors, and our employees. As the largest publisher of personal development books, events & courses we offer a diverse range of products and resources that empower, educate, and inspire. We know that the words we publish can have a deep, lasting impact on people's lives and we're dedicated to using our talents to support positive change in the world by helping all people grow in mind, body, and spirit. We love what we do, and we hope you will too. Job Description Position Summary As our Senior E-Commerce Specialist, you will be Hay House's hands-on Shopify expert, keeping our growing portfolio of Shopify storefronts running smoothly and improving how they perform through day-to-day administration, merchandising, product management, reporting, and integrations. Reporting to the Director of E-Commerce, you'll translate business, marketing, and sales goals into effective customer experiences using Shopify expertise, sound e-commerce judgment, analytics, and technical fluency. The salary range for this position is $65,000 - $75,000. This position is remote and open to candidates residing in eligible U.S. states. Responsibilities and Expertise Manage day-to-day Shopify operations across Hay House storefronts, including product and catalog data, collections, meta fields, navigation, pricing, promotions, merchandising, apps, integrations, and data accuracy. Monitor storefront health, complete QA and troubleshooting, maintain product feeds and social-commerce connections, and escalate technical issues when needed. Lead storefront merchandising and conversion rate optimization using customer and performance data to improve product discovery, navigation, promotions, cross-sells, upsells, conversion, and sales. Partner with Marketing to execute campaigns and promotions in Shopify, and with Development to define requirements, coordinate projects, complete QA, and support production launches. Own e-commerce reporting through Shopify, GA4, and related tools, translating performance data into insights and recommendations. Monitor emerging channels, including social commerce, AI-referred traffic, and agentic commerce. Use approved AI and automation tools, including ChatGPT Enterprise, to improve workflows, merchandising, efficiency, discoverability, and customer experience while maintaining appropriate human oversight. Create and maintain SOPs and process documentation, stay current on Shopify capabilities and e-commerce trends, and recommend improvements that support efficiency, customer experience, and sales. Skills, Knowledge & Abilities Strong e-commerce judgment with the ability to connect catalog data, platform configuration, feeds, integrations, merchandising, and storefront experiences. Strong analytical, problem-solving, and critical-thinking skills, with the ability to turn data into practical recommendations and action. Technical fluency, including the ability to partner with developers, write clear requirements and documentation, and determine when to escalate an issue. Comfortable using AI and automation responsibly, with sound judgment around accuracy, validation, data privacy, and company policies. Highly detail-oriented, proactive, adaptable, and able to manage multiple priorities in a changing e-commerce environment. Strong written and verbal communication skills, with the ability to explain e-commerce and technical information clearly and collaborate effectively with Web, Development, Marketing, Customer Service, and other cross-functional teams. Qualifications Education and/or Experience Bachelor's degree in Marketing, E-Commerce, Business, or a related field, or equivalent professional experience. 3-5 years of direct Shopify administration experience in an enterprise-level or comparably complex e-commerce environment. Experience partnering with technical teams and using analytics to improve e-commerce performance. Experience supporting multiple Shopify storefronts, e-commerce migrations, or a growing multi-site platform. Experience in publishing, media, consumer products, wellness, personal development, or another product-driven industry is a plus. Additional Information Why Should You Apply? Remote Meaningful Work 4-Day Work Week Great Benefits Benefits Comprehensive Medical, Dental, and Vision Insurance PTO, Pay in Lieu of Time Off, and Shared Leave Paid Holidays + Floating Holiday 401k Match Company paid Short-Term & Long-Term Disability Company paid $50K Life/AD&D Insurance Emergency Savings Account + Company Contribution Flexible Spending Gym Membership Discounts Professional Development & Education Assistance Employee Assistance Program (EAP) for you & family Embracing Diversity & EEO Hay House is committed to having a diverse workforce that embodies and reflects the diversity of our global community. As part of this commitment to equitable opportunity and inclusion, we strongly encourage applications from all individuals inclusive of all genders, ethnicities, abilities, sexual orientations, ages, socio-economic backgrounds, religions, and beliefs. Work Location & Eligibility Hay House participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: While this is a remote position, Hay House is only able to employ candidates who reside or willing to relocate to the following states: Arizona, California, Colorado, Connecticut, Florida, Idaho, Illinois, Kansas, Massachusetts, Michigan, Missouri, Montana, Nevada, New Jersey, New Mexico, New York, North Carolina, Oregon, Pennsylvania, South Dakota, Tennessee, Texas, and Washington. Disclosure requirements pertaining to the collection of your personal data: Responsible for processing the information provided in your application is the company specified in the job advertisement, with its registered office as indicated. The company processes your data for the purpose of establishing an employment relationship on the basis of Art. 6 (1) b GDPR / Section 26 (1) sentence 1 BDSG. The retention period for your data is determined by the statutory time limits applicable in the respective country, beginning upon completion of the recruitment process. You can find these here. You can contact the company's Data Protection Officer at the above-mentioned postal address. Further information on data protection and your rights can be found here. Recruiting-Platform powered by SmartRecruiters .
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
09/24/2026
Full time
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
Company Description If you're looking for an enjoyable place to work that values your ideas, encourages your growth, rewards you for your excellence and prioritizes work-life harmony (yes, we have a 4-day work week), join us! Who We Are Our founder, Louise Hay, had one wish - to help people improve the quality of their life. Her desire underscores everything we do for our customers, our authors, and our employees. As the largest publisher of personal development books, events & courses we offer a diverse range of products and resources that empower, educate, and inspire. We know that the words we publish can have a deep, lasting impact on people's lives and we're dedicated to using our talents to support positive change in the world by helping all people grow in mind, body, and spirit. We love what we do, and we hope you will too. Job Description Position Summary As our Senior E-Commerce Specialist, you will be Hay House's hands-on Shopify expert, keeping our growing portfolio of Shopify storefronts running smoothly and improving how they perform through day-to-day administration, merchandising, product management, reporting, and integrations. Reporting to the Director of E-Commerce, you'll translate business, marketing, and sales goals into effective customer experiences using Shopify expertise, sound e-commerce judgment, analytics, and technical fluency. The salary range for this position is $65,000 - $75,000. This position is remote and open to candidates residing in eligible U.S. states. Responsibilities and Expertise Manage day-to-day Shopify operations across Hay House storefronts, including product and catalog data, collections, meta fields, navigation, pricing, promotions, merchandising, apps, integrations, and data accuracy. Monitor storefront health, complete QA and troubleshooting, maintain product feeds and social-commerce connections, and escalate technical issues when needed. Lead storefront merchandising and conversion rate optimization using customer and performance data to improve product discovery, navigation, promotions, cross-sells, upsells, conversion, and sales. Partner with Marketing to execute campaigns and promotions in Shopify, and with Development to define requirements, coordinate projects, complete QA, and support production launches. Own e-commerce reporting through Shopify, GA4, and related tools, translating performance data into insights and recommendations. Monitor emerging channels, including social commerce, AI-referred traffic, and agentic commerce. Use approved AI and automation tools, including ChatGPT Enterprise, to improve workflows, merchandising, efficiency, discoverability, and customer experience while maintaining appropriate human oversight. Create and maintain SOPs and process documentation, stay current on Shopify capabilities and e-commerce trends, and recommend improvements that support efficiency, customer experience, and sales. Skills, Knowledge & Abilities Strong e-commerce judgment with the ability to connect catalog data, platform configuration, feeds, integrations, merchandising, and storefront experiences. Strong analytical, problem-solving, and critical-thinking skills, with the ability to turn data into practical recommendations and action. Technical fluency, including the ability to partner with developers, write clear requirements and documentation, and determine when to escalate an issue. Comfortable using AI and automation responsibly, with sound judgment around accuracy, validation, data privacy, and company policies. Highly detail-oriented, proactive, adaptable, and able to manage multiple priorities in a changing e-commerce environment. Strong written and verbal communication skills, with the ability to explain e-commerce and technical information clearly and collaborate effectively with Web, Development, Marketing, Customer Service, and other cross-functional teams. Qualifications Education and/or Experience Bachelor's degree in Marketing, E-Commerce, Business, or a related field, or equivalent professional experience. 3-5 years of direct Shopify administration experience in an enterprise-level or comparably complex e-commerce environment. Experience partnering with technical teams and using analytics to improve e-commerce performance. Experience supporting multiple Shopify storefronts, e-commerce migrations, or a growing multi-site platform. Experience in publishing, media, consumer products, wellness, personal development, or another product-driven industry is a plus. Additional Information Why Should You Apply? Remote Meaningful Work 4-Day Work Week Great Benefits Benefits Comprehensive Medical, Dental, and Vision Insurance PTO, Pay in Lieu of Time Off, and Shared Leave Paid Holidays + Floating Holiday 401k Match Company paid Short-Term & Long-Term Disability Company paid $50K Life/AD&D Insurance Emergency Savings Account + Company Contribution Flexible Spending Gym Membership Discounts Professional Development & Education Assistance Employee Assistance Program (EAP) for you & family Embracing Diversity & EEO Hay House is committed to having a diverse workforce that embodies and reflects the diversity of our global community. As part of this commitment to equitable opportunity and inclusion, we strongly encourage applications from all individuals inclusive of all genders, ethnicities, abilities, sexual orientations, ages, socio-economic backgrounds, religions, and beliefs. Work Location & Eligibility Hay House participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: While this is a remote position, Hay House is only able to employ candidates who reside or willing to relocate to the following states: Arizona, California, Colorado, Connecticut, Florida, Idaho, Illinois, Kansas, Massachusetts, Michigan, Missouri, Montana, Nevada, New Jersey, New Mexico, New York, North Carolina, Oregon, Pennsylvania, South Dakota, Tennessee, Texas, and Washington. Disclosure requirements pertaining to the collection of your personal data: Responsible for processing the information provided in your application is the company specified in the job advertisement, with its registered office as indicated. The company processes your data for the purpose of establishing an employment relationship on the basis of Art. 6 (1) b GDPR / Section 26 (1) sentence 1 BDSG. The retention period for your data is determined by the statutory time limits applicable in the respective country, beginning upon completion of the recruitment process. You can find these here. You can contact the company's Data Protection Officer at the above-mentioned postal address. Further information on data protection and your rights can be found here. Recruiting-Platform powered by SmartRecruiters .
09/24/2026
Full time
Company Description If you're looking for an enjoyable place to work that values your ideas, encourages your growth, rewards you for your excellence and prioritizes work-life harmony (yes, we have a 4-day work week), join us! Who We Are Our founder, Louise Hay, had one wish - to help people improve the quality of their life. Her desire underscores everything we do for our customers, our authors, and our employees. As the largest publisher of personal development books, events & courses we offer a diverse range of products and resources that empower, educate, and inspire. We know that the words we publish can have a deep, lasting impact on people's lives and we're dedicated to using our talents to support positive change in the world by helping all people grow in mind, body, and spirit. We love what we do, and we hope you will too. Job Description Position Summary As our Senior E-Commerce Specialist, you will be Hay House's hands-on Shopify expert, keeping our growing portfolio of Shopify storefronts running smoothly and improving how they perform through day-to-day administration, merchandising, product management, reporting, and integrations. Reporting to the Director of E-Commerce, you'll translate business, marketing, and sales goals into effective customer experiences using Shopify expertise, sound e-commerce judgment, analytics, and technical fluency. The salary range for this position is $65,000 - $75,000. This position is remote and open to candidates residing in eligible U.S. states. Responsibilities and Expertise Manage day-to-day Shopify operations across Hay House storefronts, including product and catalog data, collections, meta fields, navigation, pricing, promotions, merchandising, apps, integrations, and data accuracy. Monitor storefront health, complete QA and troubleshooting, maintain product feeds and social-commerce connections, and escalate technical issues when needed. Lead storefront merchandising and conversion rate optimization using customer and performance data to improve product discovery, navigation, promotions, cross-sells, upsells, conversion, and sales. Partner with Marketing to execute campaigns and promotions in Shopify, and with Development to define requirements, coordinate projects, complete QA, and support production launches. Own e-commerce reporting through Shopify, GA4, and related tools, translating performance data into insights and recommendations. Monitor emerging channels, including social commerce, AI-referred traffic, and agentic commerce. Use approved AI and automation tools, including ChatGPT Enterprise, to improve workflows, merchandising, efficiency, discoverability, and customer experience while maintaining appropriate human oversight. Create and maintain SOPs and process documentation, stay current on Shopify capabilities and e-commerce trends, and recommend improvements that support efficiency, customer experience, and sales. Skills, Knowledge & Abilities Strong e-commerce judgment with the ability to connect catalog data, platform configuration, feeds, integrations, merchandising, and storefront experiences. Strong analytical, problem-solving, and critical-thinking skills, with the ability to turn data into practical recommendations and action. Technical fluency, including the ability to partner with developers, write clear requirements and documentation, and determine when to escalate an issue. Comfortable using AI and automation responsibly, with sound judgment around accuracy, validation, data privacy, and company policies. Highly detail-oriented, proactive, adaptable, and able to manage multiple priorities in a changing e-commerce environment. Strong written and verbal communication skills, with the ability to explain e-commerce and technical information clearly and collaborate effectively with Web, Development, Marketing, Customer Service, and other cross-functional teams. Qualifications Education and/or Experience Bachelor's degree in Marketing, E-Commerce, Business, or a related field, or equivalent professional experience. 3-5 years of direct Shopify administration experience in an enterprise-level or comparably complex e-commerce environment. Experience partnering with technical teams and using analytics to improve e-commerce performance. Experience supporting multiple Shopify storefronts, e-commerce migrations, or a growing multi-site platform. Experience in publishing, media, consumer products, wellness, personal development, or another product-driven industry is a plus. Additional Information Why Should You Apply? Remote Meaningful Work 4-Day Work Week Great Benefits Benefits Comprehensive Medical, Dental, and Vision Insurance PTO, Pay in Lieu of Time Off, and Shared Leave Paid Holidays + Floating Holiday 401k Match Company paid Short-Term & Long-Term Disability Company paid $50K Life/AD&D Insurance Emergency Savings Account + Company Contribution Flexible Spending Gym Membership Discounts Professional Development & Education Assistance Employee Assistance Program (EAP) for you & family Embracing Diversity & EEO Hay House is committed to having a diverse workforce that embodies and reflects the diversity of our global community. As part of this commitment to equitable opportunity and inclusion, we strongly encourage applications from all individuals inclusive of all genders, ethnicities, abilities, sexual orientations, ages, socio-economic backgrounds, religions, and beliefs. Work Location & Eligibility Hay House participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: While this is a remote position, Hay House is only able to employ candidates who reside or willing to relocate to the following states: Arizona, California, Colorado, Connecticut, Florida, Idaho, Illinois, Kansas, Massachusetts, Michigan, Missouri, Montana, Nevada, New Jersey, New Mexico, New York, North Carolina, Oregon, Pennsylvania, South Dakota, Tennessee, Texas, and Washington. Disclosure requirements pertaining to the collection of your personal data: Responsible for processing the information provided in your application is the company specified in the job advertisement, with its registered office as indicated. The company processes your data for the purpose of establishing an employment relationship on the basis of Art. 6 (1) b GDPR / Section 26 (1) sentence 1 BDSG. The retention period for your data is determined by the statutory time limits applicable in the respective country, beginning upon completion of the recruitment process. You can find these here. You can contact the company's Data Protection Officer at the above-mentioned postal address. Further information on data protection and your rights can be found here. Recruiting-Platform powered by SmartRecruiters .
Company Description If you're looking for an enjoyable place to work that values your ideas, encourages your growth, rewards you for your excellence and prioritizes work-life harmony (yes, we have a 4-day work week), join us! Who We Are Our founder, Louise Hay, had one wish - to help people improve the quality of their life. Her desire underscores everything we do for our customers, our authors, and our employees. As the largest publisher of personal development books, events & courses we offer a diverse range of products and resources that empower, educate, and inspire. We know that the words we publish can have a deep, lasting impact on people's lives and we're dedicated to using our talents to support positive change in the world by helping all people grow in mind, body, and spirit. We love what we do, and we hope you will too. Job Description Position Summary As our Senior E-Commerce Specialist, you will be Hay House's hands-on Shopify expert, keeping our growing portfolio of Shopify storefronts running smoothly and improving how they perform through day-to-day administration, merchandising, product management, reporting, and integrations. Reporting to the Director of E-Commerce, you'll translate business, marketing, and sales goals into effective customer experiences using Shopify expertise, sound e-commerce judgment, analytics, and technical fluency. The salary range for this position is $65,000 - $75,000. This position is remote and open to candidates residing in eligible U.S. states. Responsibilities and Expertise Manage day-to-day Shopify operations across Hay House storefronts, including product and catalog data, collections, meta fields, navigation, pricing, promotions, merchandising, apps, integrations, and data accuracy. Monitor storefront health, complete QA and troubleshooting, maintain product feeds and social-commerce connections, and escalate technical issues when needed. Lead storefront merchandising and conversion rate optimization using customer and performance data to improve product discovery, navigation, promotions, cross-sells, upsells, conversion, and sales. Partner with Marketing to execute campaigns and promotions in Shopify, and with Development to define requirements, coordinate projects, complete QA, and support production launches. Own e-commerce reporting through Shopify, GA4, and related tools, translating performance data into insights and recommendations. Monitor emerging channels, including social commerce, AI-referred traffic, and agentic commerce. Use approved AI and automation tools, including ChatGPT Enterprise, to improve workflows, merchandising, efficiency, discoverability, and customer experience while maintaining appropriate human oversight. Create and maintain SOPs and process documentation, stay current on Shopify capabilities and e-commerce trends, and recommend improvements that support efficiency, customer experience, and sales. Skills, Knowledge & Abilities Strong e-commerce judgment with the ability to connect catalog data, platform configuration, feeds, integrations, merchandising, and storefront experiences. Strong analytical, problem-solving, and critical-thinking skills, with the ability to turn data into practical recommendations and action. Technical fluency, including the ability to partner with developers, write clear requirements and documentation, and determine when to escalate an issue. Comfortable using AI and automation responsibly, with sound judgment around accuracy, validation, data privacy, and company policies. Highly detail-oriented, proactive, adaptable, and able to manage multiple priorities in a changing e-commerce environment. Strong written and verbal communication skills, with the ability to explain e-commerce and technical information clearly and collaborate effectively with Web, Development, Marketing, Customer Service, and other cross-functional teams. Qualifications Education and/or Experience Bachelor's degree in Marketing, E-Commerce, Business, or a related field, or equivalent professional experience. 3-5 years of direct Shopify administration experience in an enterprise-level or comparably complex e-commerce environment. Experience partnering with technical teams and using analytics to improve e-commerce performance. Experience supporting multiple Shopify storefronts, e-commerce migrations, or a growing multi-site platform. Experience in publishing, media, consumer products, wellness, personal development, or another product-driven industry is a plus. Additional Information Why Should You Apply? Remote Meaningful Work 4-Day Work Week Great Benefits Benefits Comprehensive Medical, Dental, and Vision Insurance PTO, Pay in Lieu of Time Off, and Shared Leave Paid Holidays + Floating Holiday 401k Match Company paid Short-Term & Long-Term Disability Company paid $50K Life/AD&D Insurance Emergency Savings Account + Company Contribution Flexible Spending Gym Membership Discounts Professional Development & Education Assistance Employee Assistance Program (EAP) for you & family Embracing Diversity & EEO Hay House is committed to having a diverse workforce that embodies and reflects the diversity of our global community. As part of this commitment to equitable opportunity and inclusion, we strongly encourage applications from all individuals inclusive of all genders, ethnicities, abilities, sexual orientations, ages, socio-economic backgrounds, religions, and beliefs. Work Location & Eligibility Hay House participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: While this is a remote position, Hay House is only able to employ candidates who reside or willing to relocate to the following states: Arizona, California, Colorado, Connecticut, Florida, Idaho, Illinois, Kansas, Massachusetts, Michigan, Missouri, Montana, Nevada, New Jersey, New Mexico, New York, North Carolina, Oregon, Pennsylvania, South Dakota, Tennessee, Texas, and Washington. Disclosure requirements pertaining to the collection of your personal data: Responsible for processing the information provided in your application is the company specified in the job advertisement, with its registered office as indicated. The company processes your data for the purpose of establishing an employment relationship on the basis of Art. 6 (1) b GDPR / Section 26 (1) sentence 1 BDSG. The retention period for your data is determined by the statutory time limits applicable in the respective country, beginning upon completion of the recruitment process. You can find these here. You can contact the company's Data Protection Officer at the above-mentioned postal address. Further information on data protection and your rights can be found here. Recruiting-Platform powered by SmartRecruiters .
09/24/2026
Full time
Company Description If you're looking for an enjoyable place to work that values your ideas, encourages your growth, rewards you for your excellence and prioritizes work-life harmony (yes, we have a 4-day work week), join us! Who We Are Our founder, Louise Hay, had one wish - to help people improve the quality of their life. Her desire underscores everything we do for our customers, our authors, and our employees. As the largest publisher of personal development books, events & courses we offer a diverse range of products and resources that empower, educate, and inspire. We know that the words we publish can have a deep, lasting impact on people's lives and we're dedicated to using our talents to support positive change in the world by helping all people grow in mind, body, and spirit. We love what we do, and we hope you will too. Job Description Position Summary As our Senior E-Commerce Specialist, you will be Hay House's hands-on Shopify expert, keeping our growing portfolio of Shopify storefronts running smoothly and improving how they perform through day-to-day administration, merchandising, product management, reporting, and integrations. Reporting to the Director of E-Commerce, you'll translate business, marketing, and sales goals into effective customer experiences using Shopify expertise, sound e-commerce judgment, analytics, and technical fluency. The salary range for this position is $65,000 - $75,000. This position is remote and open to candidates residing in eligible U.S. states. Responsibilities and Expertise Manage day-to-day Shopify operations across Hay House storefronts, including product and catalog data, collections, meta fields, navigation, pricing, promotions, merchandising, apps, integrations, and data accuracy. Monitor storefront health, complete QA and troubleshooting, maintain product feeds and social-commerce connections, and escalate technical issues when needed. Lead storefront merchandising and conversion rate optimization using customer and performance data to improve product discovery, navigation, promotions, cross-sells, upsells, conversion, and sales. Partner with Marketing to execute campaigns and promotions in Shopify, and with Development to define requirements, coordinate projects, complete QA, and support production launches. Own e-commerce reporting through Shopify, GA4, and related tools, translating performance data into insights and recommendations. Monitor emerging channels, including social commerce, AI-referred traffic, and agentic commerce. Use approved AI and automation tools, including ChatGPT Enterprise, to improve workflows, merchandising, efficiency, discoverability, and customer experience while maintaining appropriate human oversight. Create and maintain SOPs and process documentation, stay current on Shopify capabilities and e-commerce trends, and recommend improvements that support efficiency, customer experience, and sales. Skills, Knowledge & Abilities Strong e-commerce judgment with the ability to connect catalog data, platform configuration, feeds, integrations, merchandising, and storefront experiences. Strong analytical, problem-solving, and critical-thinking skills, with the ability to turn data into practical recommendations and action. Technical fluency, including the ability to partner with developers, write clear requirements and documentation, and determine when to escalate an issue. Comfortable using AI and automation responsibly, with sound judgment around accuracy, validation, data privacy, and company policies. Highly detail-oriented, proactive, adaptable, and able to manage multiple priorities in a changing e-commerce environment. Strong written and verbal communication skills, with the ability to explain e-commerce and technical information clearly and collaborate effectively with Web, Development, Marketing, Customer Service, and other cross-functional teams. Qualifications Education and/or Experience Bachelor's degree in Marketing, E-Commerce, Business, or a related field, or equivalent professional experience. 3-5 years of direct Shopify administration experience in an enterprise-level or comparably complex e-commerce environment. Experience partnering with technical teams and using analytics to improve e-commerce performance. Experience supporting multiple Shopify storefronts, e-commerce migrations, or a growing multi-site platform. Experience in publishing, media, consumer products, wellness, personal development, or another product-driven industry is a plus. Additional Information Why Should You Apply? Remote Meaningful Work 4-Day Work Week Great Benefits Benefits Comprehensive Medical, Dental, and Vision Insurance PTO, Pay in Lieu of Time Off, and Shared Leave Paid Holidays + Floating Holiday 401k Match Company paid Short-Term & Long-Term Disability Company paid $50K Life/AD&D Insurance Emergency Savings Account + Company Contribution Flexible Spending Gym Membership Discounts Professional Development & Education Assistance Employee Assistance Program (EAP) for you & family Embracing Diversity & EEO Hay House is committed to having a diverse workforce that embodies and reflects the diversity of our global community. As part of this commitment to equitable opportunity and inclusion, we strongly encourage applications from all individuals inclusive of all genders, ethnicities, abilities, sexual orientations, ages, socio-economic backgrounds, religions, and beliefs. Work Location & Eligibility Hay House participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: While this is a remote position, Hay House is only able to employ candidates who reside or willing to relocate to the following states: Arizona, California, Colorado, Connecticut, Florida, Idaho, Illinois, Kansas, Massachusetts, Michigan, Missouri, Montana, Nevada, New Jersey, New Mexico, New York, North Carolina, Oregon, Pennsylvania, South Dakota, Tennessee, Texas, and Washington. Disclosure requirements pertaining to the collection of your personal data: Responsible for processing the information provided in your application is the company specified in the job advertisement, with its registered office as indicated. The company processes your data for the purpose of establishing an employment relationship on the basis of Art. 6 (1) b GDPR / Section 26 (1) sentence 1 BDSG. The retention period for your data is determined by the statutory time limits applicable in the respective country, beginning upon completion of the recruitment process. You can find these here. You can contact the company's Data Protection Officer at the above-mentioned postal address. Further information on data protection and your rights can be found here. Recruiting-Platform powered by SmartRecruiters .
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
09/24/2026
Full time
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
09/24/2026
Full time
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
09/24/2026
Full time
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
09/24/2026
Full time
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
Company Description If you're looking for an enjoyable place to work that values your ideas, encourages your growth, rewards you for your excellence and prioritizes work-life harmony (yes, we have a 4-day work week), join us! Who We Are Our founder, Louise Hay, had one wish - to help people improve the quality of their life. Her desire underscores everything we do for our customers, our authors, and our employees. As the largest publisher of personal development books, events & courses we offer a diverse range of products and resources that empower, educate, and inspire. We know that the words we publish can have a deep, lasting impact on people's lives and we're dedicated to using our talents to support positive change in the world by helping all people grow in mind, body, and spirit. We love what we do, and we hope you will too. Job Description Position Summary As our Senior E-Commerce Specialist, you will be Hay House's hands-on Shopify expert, keeping our growing portfolio of Shopify storefronts running smoothly and improving how they perform through day-to-day administration, merchandising, product management, reporting, and integrations. Reporting to the Director of E-Commerce, you'll translate business, marketing, and sales goals into effective customer experiences using Shopify expertise, sound e-commerce judgment, analytics, and technical fluency. The salary range for this position is $65,000 - $75,000. This position is remote and open to candidates residing in eligible U.S. states. Responsibilities and Expertise Manage day-to-day Shopify operations across Hay House storefronts, including product and catalog data, collections, meta fields, navigation, pricing, promotions, merchandising, apps, integrations, and data accuracy. Monitor storefront health, complete QA and troubleshooting, maintain product feeds and social-commerce connections, and escalate technical issues when needed. Lead storefront merchandising and conversion rate optimization using customer and performance data to improve product discovery, navigation, promotions, cross-sells, upsells, conversion, and sales. Partner with Marketing to execute campaigns and promotions in Shopify, and with Development to define requirements, coordinate projects, complete QA, and support production launches. Own e-commerce reporting through Shopify, GA4, and related tools, translating performance data into insights and recommendations. Monitor emerging channels, including social commerce, AI-referred traffic, and agentic commerce. Use approved AI and automation tools, including ChatGPT Enterprise, to improve workflows, merchandising, efficiency, discoverability, and customer experience while maintaining appropriate human oversight. Create and maintain SOPs and process documentation, stay current on Shopify capabilities and e-commerce trends, and recommend improvements that support efficiency, customer experience, and sales. Skills, Knowledge & Abilities Strong e-commerce judgment with the ability to connect catalog data, platform configuration, feeds, integrations, merchandising, and storefront experiences. Strong analytical, problem-solving, and critical-thinking skills, with the ability to turn data into practical recommendations and action. Technical fluency, including the ability to partner with developers, write clear requirements and documentation, and determine when to escalate an issue. Comfortable using AI and automation responsibly, with sound judgment around accuracy, validation, data privacy, and company policies. Highly detail-oriented, proactive, adaptable, and able to manage multiple priorities in a changing e-commerce environment. Strong written and verbal communication skills, with the ability to explain e-commerce and technical information clearly and collaborate effectively with Web, Development, Marketing, Customer Service, and other cross-functional teams. Qualifications Education and/or Experience Bachelor's degree in Marketing, E-Commerce, Business, or a related field, or equivalent professional experience. 3-5 years of direct Shopify administration experience in an enterprise-level or comparably complex e-commerce environment. Experience partnering with technical teams and using analytics to improve e-commerce performance. Experience supporting multiple Shopify storefronts, e-commerce migrations, or a growing multi-site platform. Experience in publishing, media, consumer products, wellness, personal development, or another product-driven industry is a plus. Additional Information Why Should You Apply? Remote Meaningful Work 4-Day Work Week Great Benefits Benefits Comprehensive Medical, Dental, and Vision Insurance PTO, Pay in Lieu of Time Off, and Shared Leave Paid Holidays + Floating Holiday 401k Match Company paid Short-Term & Long-Term Disability Company paid $50K Life/AD&D Insurance Emergency Savings Account + Company Contribution Flexible Spending Gym Membership Discounts Professional Development & Education Assistance Employee Assistance Program (EAP) for you & family Embracing Diversity & EEO Hay House is committed to having a diverse workforce that embodies and reflects the diversity of our global community. As part of this commitment to equitable opportunity and inclusion, we strongly encourage applications from all individuals inclusive of all genders, ethnicities, abilities, sexual orientations, ages, socio-economic backgrounds, religions, and beliefs. Work Location & Eligibility Hay House participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: While this is a remote position, Hay House is only able to employ candidates who reside or willing to relocate to the following states: Arizona, California, Colorado, Connecticut, Florida, Idaho, Illinois, Kansas, Massachusetts, Michigan, Missouri, Montana, Nevada, New Jersey, New Mexico, New York, North Carolina, Oregon, Pennsylvania, South Dakota, Tennessee, Texas, and Washington. Disclosure requirements pertaining to the collection of your personal data: Responsible for processing the information provided in your application is the company specified in the job advertisement, with its registered office as indicated. The company processes your data for the purpose of establishing an employment relationship on the basis of Art. 6 (1) b GDPR / Section 26 (1) sentence 1 BDSG. The retention period for your data is determined by the statutory time limits applicable in the respective country, beginning upon completion of the recruitment process. You can find these here. You can contact the company's Data Protection Officer at the above-mentioned postal address. Further information on data protection and your rights can be found here. Recruiting-Platform powered by SmartRecruiters .
09/24/2026
Full time
Company Description If you're looking for an enjoyable place to work that values your ideas, encourages your growth, rewards you for your excellence and prioritizes work-life harmony (yes, we have a 4-day work week), join us! Who We Are Our founder, Louise Hay, had one wish - to help people improve the quality of their life. Her desire underscores everything we do for our customers, our authors, and our employees. As the largest publisher of personal development books, events & courses we offer a diverse range of products and resources that empower, educate, and inspire. We know that the words we publish can have a deep, lasting impact on people's lives and we're dedicated to using our talents to support positive change in the world by helping all people grow in mind, body, and spirit. We love what we do, and we hope you will too. Job Description Position Summary As our Senior E-Commerce Specialist, you will be Hay House's hands-on Shopify expert, keeping our growing portfolio of Shopify storefronts running smoothly and improving how they perform through day-to-day administration, merchandising, product management, reporting, and integrations. Reporting to the Director of E-Commerce, you'll translate business, marketing, and sales goals into effective customer experiences using Shopify expertise, sound e-commerce judgment, analytics, and technical fluency. The salary range for this position is $65,000 - $75,000. This position is remote and open to candidates residing in eligible U.S. states. Responsibilities and Expertise Manage day-to-day Shopify operations across Hay House storefronts, including product and catalog data, collections, meta fields, navigation, pricing, promotions, merchandising, apps, integrations, and data accuracy. Monitor storefront health, complete QA and troubleshooting, maintain product feeds and social-commerce connections, and escalate technical issues when needed. Lead storefront merchandising and conversion rate optimization using customer and performance data to improve product discovery, navigation, promotions, cross-sells, upsells, conversion, and sales. Partner with Marketing to execute campaigns and promotions in Shopify, and with Development to define requirements, coordinate projects, complete QA, and support production launches. Own e-commerce reporting through Shopify, GA4, and related tools, translating performance data into insights and recommendations. Monitor emerging channels, including social commerce, AI-referred traffic, and agentic commerce. Use approved AI and automation tools, including ChatGPT Enterprise, to improve workflows, merchandising, efficiency, discoverability, and customer experience while maintaining appropriate human oversight. Create and maintain SOPs and process documentation, stay current on Shopify capabilities and e-commerce trends, and recommend improvements that support efficiency, customer experience, and sales. Skills, Knowledge & Abilities Strong e-commerce judgment with the ability to connect catalog data, platform configuration, feeds, integrations, merchandising, and storefront experiences. Strong analytical, problem-solving, and critical-thinking skills, with the ability to turn data into practical recommendations and action. Technical fluency, including the ability to partner with developers, write clear requirements and documentation, and determine when to escalate an issue. Comfortable using AI and automation responsibly, with sound judgment around accuracy, validation, data privacy, and company policies. Highly detail-oriented, proactive, adaptable, and able to manage multiple priorities in a changing e-commerce environment. Strong written and verbal communication skills, with the ability to explain e-commerce and technical information clearly and collaborate effectively with Web, Development, Marketing, Customer Service, and other cross-functional teams. Qualifications Education and/or Experience Bachelor's degree in Marketing, E-Commerce, Business, or a related field, or equivalent professional experience. 3-5 years of direct Shopify administration experience in an enterprise-level or comparably complex e-commerce environment. Experience partnering with technical teams and using analytics to improve e-commerce performance. Experience supporting multiple Shopify storefronts, e-commerce migrations, or a growing multi-site platform. Experience in publishing, media, consumer products, wellness, personal development, or another product-driven industry is a plus. Additional Information Why Should You Apply? Remote Meaningful Work 4-Day Work Week Great Benefits Benefits Comprehensive Medical, Dental, and Vision Insurance PTO, Pay in Lieu of Time Off, and Shared Leave Paid Holidays + Floating Holiday 401k Match Company paid Short-Term & Long-Term Disability Company paid $50K Life/AD&D Insurance Emergency Savings Account + Company Contribution Flexible Spending Gym Membership Discounts Professional Development & Education Assistance Employee Assistance Program (EAP) for you & family Embracing Diversity & EEO Hay House is committed to having a diverse workforce that embodies and reflects the diversity of our global community. As part of this commitment to equitable opportunity and inclusion, we strongly encourage applications from all individuals inclusive of all genders, ethnicities, abilities, sexual orientations, ages, socio-economic backgrounds, religions, and beliefs. Work Location & Eligibility Hay House participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: While this is a remote position, Hay House is only able to employ candidates who reside or willing to relocate to the following states: Arizona, California, Colorado, Connecticut, Florida, Idaho, Illinois, Kansas, Massachusetts, Michigan, Missouri, Montana, Nevada, New Jersey, New Mexico, New York, North Carolina, Oregon, Pennsylvania, South Dakota, Tennessee, Texas, and Washington. Disclosure requirements pertaining to the collection of your personal data: Responsible for processing the information provided in your application is the company specified in the job advertisement, with its registered office as indicated. The company processes your data for the purpose of establishing an employment relationship on the basis of Art. 6 (1) b GDPR / Section 26 (1) sentence 1 BDSG. The retention period for your data is determined by the statutory time limits applicable in the respective country, beginning upon completion of the recruitment process. You can find these here. You can contact the company's Data Protection Officer at the above-mentioned postal address. Further information on data protection and your rights can be found here. Recruiting-Platform powered by SmartRecruiters .
