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Sr. Data Scientist, Pharmaceutical Supply Chain
McKesson Irving, Texas
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Role Overview The Lead Business Strategic Insights role partners closely with leaders across Commercial Strategy & Innovation (CSI) to develop data-driven solutions that accelerate business growth, enhance customer outcomes, and bring innovative products to market. This individual will leverage advanced analytics, artificial intelligence, machine learning, and business insights to solve complex challenges, uncover opportunities, and drive strategic decision-making across the organization. This role will participate throughout the full solution lifecycle, from ideation and proof of concept through production deployment and business adoption. Success in this position requires a combination of analytical expertise, business acumen, technical proficiency, and stakeholder influence. Key Responsibilities Accelerate AI-enabled decision-making by partnering with data governance, product, and technology teams to leverage governed data assets, semantic layers, and AI/LLM technologies that enable business users to access trusted insights more efficiently. Design and develop heuristics, optimization models, and advanced analytics solutions across customer, product, and operational domains to improve business outcomes. Utilize qualitative and quantitative data to identify opportunities, develop hypotheses, pilot proof-of-concept solutions, and scale successful models across the enterprise. Apply data science and analytical methodologies to identify market trends, process improvement opportunities, strategic synergies, and actionable business recommendations. Support digital data acquisition and integration strategies while building scalable data pipelines that complement existing enterprise data assets. Leverage CSI's data infrastructure to develop next-generation analytical models focused on customer value creation, margin expansion, and operational efficiencies. Drive experimentation and causal learning through pilots, A/B testing, and other measurement methodologies to quantify business impact and improve decision-making. Break down complex business challenges into scalable workstreams and collaborate across functional teams to drive solution adoption and implementation. Develop and deploy scalable Python-based APIs and data products that integrate with enterprise applications and business systems. Build and scale AI agents that enable business users to interact with data using natural language, uncover insights, identify opportunities, and make faster, more informed decisions. Present findings, recommendations, and business cases to senior leaders and cross-functional stakeholders. Minimum Requirements Bachelor's degree in Business, Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field, or equivalent experience. Typically requires 7+ years of relevant professional experience in analytics, data science, business intelligence, strategy, or a related discipline. Critical Skills 5+ years of experience in analytics, data science, business intelligence, or a related field. Proven experience leveraging analytics to drive measurable business value and strategic outcomes. Strong understanding of software engineering principles and API development used to commercialize analytical products and solutions. Advanced communication, presentation, and stakeholder management skills. Hands-on experience with Python, including libraries such as Pandas, Scikit-learn, NumPy, and related tools. Advanced SQL skills with experience querying and manipulating large, complex datasets. Strong understanding of machine learning techniques, including clustering, regression, anomaly detection, forecasting, classification, deep learning, and time series analysis. Experience working with cloud-based data platforms and modern analytics ecosystems. Experience building, deploying, or leveraging AI and generative AI solutions within business environments. Preferred Qualifications Experience working in healthcare, distribution, pharmaceutical, or supply chain environments. Experience with experimental design, causal inference, and business impact measurement. Familiarity with modern AI frameworks, large language models (LLMs), and agentic AI solutions. Experience building scalable data products and deploying machine learning models into production environments. Demonstrated success influencing business decisions through analytics and strategic insights. Additional Skills Passion for using data to solve complex business problems. Strong business acumen and strategic thinking capabilities. Ability to balance technical depth with business priorities. Self-starter with a continuous improvement mindset. Strong collaboration and relationship-building skills across functions and leadership levels. This role is a hybrid position. The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in-office days may be designated based on team needs and business priorities. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $136,300 - $227,100 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
11/14/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Role Overview The Lead Business Strategic Insights role partners closely with leaders across Commercial Strategy & Innovation (CSI) to develop data-driven solutions that accelerate business growth, enhance customer outcomes, and bring innovative products to market. This individual will leverage advanced analytics, artificial intelligence, machine learning, and business insights to solve complex challenges, uncover opportunities, and drive strategic decision-making across the organization. This role will participate throughout the full solution lifecycle, from ideation and proof of concept through production deployment and business adoption. Success in this position requires a combination of analytical expertise, business acumen, technical proficiency, and stakeholder influence. Key Responsibilities Accelerate AI-enabled decision-making by partnering with data governance, product, and technology teams to leverage governed data assets, semantic layers, and AI/LLM technologies that enable business users to access trusted insights more efficiently. Design and develop heuristics, optimization models, and advanced analytics solutions across customer, product, and operational domains to improve business outcomes. Utilize qualitative and quantitative data to identify opportunities, develop hypotheses, pilot proof-of-concept solutions, and scale successful models across the enterprise. Apply data science and analytical methodologies to identify market trends, process improvement opportunities, strategic synergies, and actionable business recommendations. Support digital data acquisition and integration strategies while building scalable data pipelines that complement existing enterprise data assets. Leverage CSI's data infrastructure to develop next-generation analytical models focused on customer value creation, margin expansion, and operational efficiencies. Drive experimentation and causal learning through pilots, A/B testing, and other measurement methodologies to quantify business impact and improve decision-making. Break down complex business challenges into scalable workstreams and collaborate across functional teams to drive solution adoption and implementation. Develop and deploy scalable Python-based APIs and data products that integrate with enterprise applications and business systems. Build and scale AI agents that enable business users to interact with data using natural language, uncover insights, identify opportunities, and make faster, more informed decisions. Present findings, recommendations, and business cases to senior leaders and cross-functional stakeholders. Minimum Requirements Bachelor's degree in Business, Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field, or equivalent experience. Typically requires 7+ years of relevant professional experience in analytics, data science, business intelligence, strategy, or a related discipline. Critical Skills 5+ years of experience in analytics, data science, business intelligence, or a related field. Proven experience leveraging analytics to drive measurable business value and strategic outcomes. Strong understanding of software engineering principles and API development used to commercialize analytical products and solutions. Advanced communication, presentation, and stakeholder management skills. Hands-on experience with Python, including libraries such as Pandas, Scikit-learn, NumPy, and related tools. Advanced SQL skills with experience querying and manipulating large, complex datasets. Strong understanding of machine learning techniques, including clustering, regression, anomaly detection, forecasting, classification, deep learning, and time series analysis. Experience working with cloud-based data platforms and modern analytics ecosystems. Experience building, deploying, or leveraging AI and generative AI solutions within business environments. Preferred Qualifications Experience working in healthcare, distribution, pharmaceutical, or supply chain environments. Experience with experimental design, causal inference, and business impact measurement. Familiarity with modern AI frameworks, large language models (LLMs), and agentic AI solutions. Experience building scalable data products and deploying machine learning models into production environments. Demonstrated success influencing business decisions through analytics and strategic insights. Additional Skills Passion for using data to solve complex business problems. Strong business acumen and strategic thinking capabilities. Ability to balance technical depth with business priorities. Self-starter with a continuous improvement mindset. Strong collaboration and relationship-building skills across functions and leadership levels. This role is a hybrid position. The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in-office days may be designated based on team needs and business priorities. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $136,300 - $227,100 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
Software Engineer Intern
ModMed Boca Raton, Florida
Job Description Join the Team Modernizing Medicine At ModMed , we're not just building software-we're reimagining the healthcare experience. Founded in 2010 by a practicing physician and a successful tech entrepreneur, we took a radically different approach: we hired doctors and taught them how to code. This "for doctors, by doctors" philosophy has allowed us to create an AI-enabled, specialty-specific cloud platform that places patients at the center of care. ModMed's Product Development team eagerly welcomes interns who are passionate about pursuing a career in Software Engineering. We are a dynamic team of experts in Java, .Net, Mobile (iOS), and AI/ML Engineering, guided by the principles in AI Forward Software Development Lifecycle. Our software operates seamlessly within the Amazon Web Services cloud environment. Here, you'll engage in meaningful, real-world projects that leave a lasting impact. ModMed Interns have the opportunity to transform their ideas and enthusiasm into tangible accomplishments. You'll cultivate essential skills and gain hands-on experience while collaborating with some of the industry's most exceptional talents. Our dedicated team of engineers and architects will mentor and challenge you every step of the way. Your Role: Tackle Complex Challenges: Engage with and solve intricate problems, pushing the boundaries of your skills and knowledge. Contribute Across the Tech Spectrum: Be an integral part of our engineering projects, making contributions to the frontend, backend, and/or mobile development efforts. Witness Your Impact: Experience the gratification of seeing your code come to life, as it's deployed and utilized by both internal and external customers. Collaborate Across Functions: Join forces with cross-functional teams to provide comprehensive system support, gaining valuable exposure to various aspects of our operations. If you're considering joining ModMed's Summer 2027 Internship Program, you might be an ideal candidate if you meet the following criteria: Educational Background: You are currently enrolled in a Computer Science program (or a related field) or pursuing your Masters of PhD in Computer Science, or Artificial Intelligence. Availability: Ability to work at our headquarters in Boca Raton, Florida, on a hybrid basis during the internship and willingness to commit to relocation post graduation to work out of our headquarters in Boca Raton, Florida. Academic Excellence: You maintain a GPA of 3.5 or higher and experience with Microservices, Java, MySQL and Angular. Strong preference for candidates with experience in streaming platform experience (e.g. Kafka), containerization, caching, Web sockets, and AWS. Passion for AI Development Lifecycle: You're a champion of AI Forward Deployment and have experience with Claude, Codex, Cursor or similar AI development tools. Curiosity and Problem-Solving Skills: You approach challenges with curiosity and are skilled at finding solutions. Self-Motivated: You're a self-starter, results-oriented, and thrive in a collaborative work environment. Effective Communication: You have strong communication skills, enabling you to collaborate effectively with your peers. Adaptability: You excel in dynamic, fast-paced environments and can adapt to changing circumstances. Teams Hiring Interns - Interns will have the opportunity to join teams across: Architecture & Platform - Core frameworks, scalability, and AWS infrastructure. Engineering - Java/Angular development, microservices, and UI/UX enhancements. Data & Analytics - Data pipelines, visualization, and business intelligence. AI & ML Engineering - Machine learning and AI-driven product innovation ModMed Benefits Highlight: At ModMed, we believe it's important to offer a competitive benefits package designed to meet the diverse needs of our growing workforce. Eligible Modernizers can enroll in a wide range of benefits: United States Comprehensive medical, dental, and vision benefits, including a company Health Savings Account contribution, 401(k): ModMed provides a matching contribution each payday of 50% of your contribution deferred on up to 6% of your compensation. After one year of employment with ModMed, 100% of any matching contribution you receive is yours to keep. Generous Paid Time Off and Paid Parental Leave programs, Company paid Life and Disability benefits, Flexible Spending Account, and Employee Assistance Programs, Company-sponsored Business Resource & Special Interest Groups that provide engaged and supportive communities within ModMed, Professional development opportunities, including tuition reimbursement programs and unlimited access to LinkedIn Learning, Global presence and in-person collaboration opportunities; dog-friendly HQ (US), Hybrid office-based roles and remote availability for some roles, Weekly catered breakfast and lunch, treadmill workstations, Zen, and wellness rooms within our BRIC headquarters. PHISHING SCAM WARNING: ModMed is among several companies recently made aware of a phishing scam involving imposters posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote "interviews," and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from ModMed without a formal interview process, and valid communications from our hiring team will come from our employees with a ModMed email address (). Please check senders' email addresses carefully. Additionally, ModMed will not ask you to purchase equipment or supplies as part of your onboarding process. If you are receiving communications as described above, please report them to the FTC website.
11/14/2026
Full time
Job Description Join the Team Modernizing Medicine At ModMed , we're not just building software-we're reimagining the healthcare experience. Founded in 2010 by a practicing physician and a successful tech entrepreneur, we took a radically different approach: we hired doctors and taught them how to code. This "for doctors, by doctors" philosophy has allowed us to create an AI-enabled, specialty-specific cloud platform that places patients at the center of care. ModMed's Product Development team eagerly welcomes interns who are passionate about pursuing a career in Software Engineering. We are a dynamic team of experts in Java, .Net, Mobile (iOS), and AI/ML Engineering, guided by the principles in AI Forward Software Development Lifecycle. Our software operates seamlessly within the Amazon Web Services cloud environment. Here, you'll engage in meaningful, real-world projects that leave a lasting impact. ModMed Interns have the opportunity to transform their ideas and enthusiasm into tangible accomplishments. You'll cultivate essential skills and gain hands-on experience while collaborating with some of the industry's most exceptional talents. Our dedicated team of engineers and architects will mentor and challenge you every step of the way. Your Role: Tackle Complex Challenges: Engage with and solve intricate problems, pushing the boundaries of your skills and knowledge. Contribute Across the Tech Spectrum: Be an integral part of our engineering projects, making contributions to the frontend, backend, and/or mobile development efforts. Witness Your Impact: Experience the gratification of seeing your code come to life, as it's deployed and utilized by both internal and external customers. Collaborate Across Functions: Join forces with cross-functional teams to provide comprehensive system support, gaining valuable exposure to various aspects of our operations. If you're considering joining ModMed's Summer 2027 Internship Program, you might be an ideal candidate if you meet the following criteria: Educational Background: You are currently enrolled in a Computer Science program (or a related field) or pursuing your Masters of PhD in Computer Science, or Artificial Intelligence. Availability: Ability to work at our headquarters in Boca Raton, Florida, on a hybrid basis during the internship and willingness to commit to relocation post graduation to work out of our headquarters in Boca Raton, Florida. Academic Excellence: You maintain a GPA of 3.5 or higher and experience with Microservices, Java, MySQL and Angular. Strong preference for candidates with experience in streaming platform experience (e.g. Kafka), containerization, caching, Web sockets, and AWS. Passion for AI Development Lifecycle: You're a champion of AI Forward Deployment and have experience with Claude, Codex, Cursor or similar AI development tools. Curiosity and Problem-Solving Skills: You approach challenges with curiosity and are skilled at finding solutions. Self-Motivated: You're a self-starter, results-oriented, and thrive in a collaborative work environment. Effective Communication: You have strong communication skills, enabling you to collaborate effectively with your peers. Adaptability: You excel in dynamic, fast-paced environments and can adapt to changing circumstances. Teams Hiring Interns - Interns will have the opportunity to join teams across: Architecture & Platform - Core frameworks, scalability, and AWS infrastructure. Engineering - Java/Angular development, microservices, and UI/UX enhancements. Data & Analytics - Data pipelines, visualization, and business intelligence. AI & ML Engineering - Machine learning and AI-driven product innovation ModMed Benefits Highlight: At ModMed, we believe it's important to offer a competitive benefits package designed to meet the diverse needs of our growing workforce. Eligible Modernizers can enroll in a wide range of benefits: United States Comprehensive medical, dental, and vision benefits, including a company Health Savings Account contribution, 401(k): ModMed provides a matching contribution each payday of 50% of your contribution deferred on up to 6% of your compensation. After one year of employment with ModMed, 100% of any matching contribution you receive is yours to keep. Generous Paid Time Off and Paid Parental Leave programs, Company paid Life and Disability benefits, Flexible Spending Account, and Employee Assistance Programs, Company-sponsored Business Resource & Special Interest Groups that provide engaged and supportive communities within ModMed, Professional development opportunities, including tuition reimbursement programs and unlimited access to LinkedIn Learning, Global presence and in-person collaboration opportunities; dog-friendly HQ (US), Hybrid office-based roles and remote availability for some roles, Weekly catered breakfast and lunch, treadmill workstations, Zen, and wellness rooms within our BRIC headquarters. PHISHING SCAM WARNING: ModMed is among several companies recently made aware of a phishing scam involving imposters posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote "interviews," and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from ModMed without a formal interview process, and valid communications from our hiring team will come from our employees with a ModMed email address (). Please check senders' email addresses carefully. Additionally, ModMed will not ask you to purchase equipment or supplies as part of your onboarding process. If you are receiving communications as described above, please report them to the FTC website.
ebay
Marketing Data Science Analytics Lead
ebay San Jose, California
This job is with eBay, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At eBay, we're more than a global ecommerce leader - we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work - every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers - and help us connect people and build communities to create economic opportunity for all. About the team and the role: The CRM Data Science Analytics team transforms customer data into strategic decisions that build long-term value for millions of buyers and sellers around the world. Partnering closely with Marketing, Product, and Engineering, the team composes, measures, and optimizes CRM programs that deepen engagement, strengthen dedication, and accelerate growth across the customer lifecycle. As the Marketing Data Science Analytics Lead, you will build the next generation of customer intelligence, AI-powered targeting, and CRM optimization at eBay. In this highly visible role, you will define measurement strategies, guide personalization and experimentation approaches, and influence CRM investment decisions across buyer, seller, and company-wide initiatives. This role offers broad cross-functional exposure and the opportunity to help develop an inclusive, high-performing analytics culture while improving how customers experience eBay. What you will accomplish: Define success metrics, learning agendas, and optimization frameworks that connect CRM investments to retention, engagement, revenue growth, and customer lifetime value. Advance targeting and personalization at scale by developing and improving machine learning models such as propensity, churn, uplift, recommendation, and next-best-action models. Lead rigorous experimentation across CRM programs using A/B testing, multivariate testing, and causal measurement approaches to generate actionable insights and accelerate learning. Build scalable analytics and AI solutions through automated data pipelines, reusable datasets, and self-service tools that support faster, more confident decision-making. Optimize CRM strategies across email, push, in-app, onsite, and lifecycle channels by recommending data-driven approaches to targeting, content, frequency, and customer journey development. Translate complex analytical findings into clear business recommendations, influence cross-functional partners and senior leaders, and strengthen team capabilities through mentorship and established guidelines. What you will bring: Proven experience leading CRM, marketing, or customer analytics initiatives that deliver measurable business outcomes in e-commerce, marketplace, subscription, consumer technology, or similar customer-focused environments. Deep expertise in analytics, machine learning, and AI applications for CRM and personalization, including churn prediction, propensity modeling, CLV/LTV forecasting, uplift modeling, recommendations, and decisioning systems. Strong foundation in experimentation and statistical methods, including experimental build, power analysis, variance reduction, causal inference, and measurement guidelines. Advanced proficiency in SQL and Python for large-scale analysis, modeling, automation, and analytics engineering within modern data environments and version-controlled workflows. Strong business judgment and communication skills, with the capability to convert complex insights into clear recommendations and persuade cross-functional partners and senior leaders. Experience working with AI-powered products, CRM or marketing technology platforms, customer journey tools, event-level behavioral data, and modern data and AI ecosystems such as Spark, Databricks, Airflow, and Claude Code. Additional Details The base pay range for this position is expected in the range below: $170,400 - $227,500 Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employees will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Remote roles are not eligible for U.S. visa sponsorship. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at . We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice , Privacy Center and AI Hiring Guideline .
11/14/2026
Full time
This job is with eBay, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At eBay, we're more than a global ecommerce leader - we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work - every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers - and help us connect people and build communities to create economic opportunity for all. About the team and the role: The CRM Data Science Analytics team transforms customer data into strategic decisions that build long-term value for millions of buyers and sellers around the world. Partnering closely with Marketing, Product, and Engineering, the team composes, measures, and optimizes CRM programs that deepen engagement, strengthen dedication, and accelerate growth across the customer lifecycle. As the Marketing Data Science Analytics Lead, you will build the next generation of customer intelligence, AI-powered targeting, and CRM optimization at eBay. In this highly visible role, you will define measurement strategies, guide personalization and experimentation approaches, and influence CRM investment decisions across buyer, seller, and company-wide initiatives. This role offers broad cross-functional exposure and the opportunity to help develop an inclusive, high-performing analytics culture while improving how customers experience eBay. What you will accomplish: Define success metrics, learning agendas, and optimization frameworks that connect CRM investments to retention, engagement, revenue growth, and customer lifetime value. Advance targeting and personalization at scale by developing and improving machine learning models such as propensity, churn, uplift, recommendation, and next-best-action models. Lead rigorous experimentation across CRM programs using A/B testing, multivariate testing, and causal measurement approaches to generate actionable insights and accelerate learning. Build scalable analytics and AI solutions through automated data pipelines, reusable datasets, and self-service tools that support faster, more confident decision-making. Optimize CRM strategies across email, push, in-app, onsite, and lifecycle channels by recommending data-driven approaches to targeting, content, frequency, and customer journey development. Translate complex analytical findings into clear business recommendations, influence cross-functional partners and senior leaders, and strengthen team capabilities through mentorship and established guidelines. What you will bring: Proven experience leading CRM, marketing, or customer analytics initiatives that deliver measurable business outcomes in e-commerce, marketplace, subscription, consumer technology, or similar customer-focused environments. Deep expertise in analytics, machine learning, and AI applications for CRM and personalization, including churn prediction, propensity modeling, CLV/LTV forecasting, uplift modeling, recommendations, and decisioning systems. Strong foundation in experimentation and statistical methods, including experimental build, power analysis, variance reduction, causal inference, and measurement guidelines. Advanced proficiency in SQL and Python for large-scale analysis, modeling, automation, and analytics engineering within modern data environments and version-controlled workflows. Strong business judgment and communication skills, with the capability to convert complex insights into clear recommendations and persuade cross-functional partners and senior leaders. Experience working with AI-powered products, CRM or marketing technology platforms, customer journey tools, event-level behavioral data, and modern data and AI ecosystems such as Spark, Databricks, Airflow, and Claude Code. Additional Details The base pay range for this position is expected in the range below: $170,400 - $227,500 Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employees will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Remote roles are not eligible for U.S. visa sponsorship. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at . We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice , Privacy Center and AI Hiring Guideline .
Consultant, Manufacturing Solutions Business Consulting
C&F
Job Description C&F is a technology services company providing innovative solutions in Data Management, Big Data, Advanced Analytics and Compliance. With a highly integrated team of 400+ experts, for over 20 years C&F has been delivering superior engineering and premium operations to Fortune 500 companies, primarily in the Life Science industry. About Our Manufacturing Business Unit Our company is organized into unique Business Units, each delivering innovative and differentiated business technology solutions across industries. The Manufacturing Business Unit specializes in enterprise-scale manufacturing solutions that drive site- and network-level outcomes aligned to strategic objectives and KPIs. Our applications, data products, and advanced platform technologies-including AI and IoT-enable Digital Manufacturing at Scale. We primarily serve enterprise clients across Human Pharma, Animal Health, and Consumer Goods industries. Our Manufacturing Business Unit operates through three integrated functions: • Strategy & Growth - Develops differentiated offerings and industry thought leadership. • Business Consulting - Defines client-customized solutions and ensures sustained value realization. • Engineering Delivery - Delivers solution architecture, development, deployment, and sustainment. The Business Consulting function is hiring a Manager, Manufacturing Solutions Business Consultant to serve as a Product Owner and consulting lead across manufacturing digital initiatives. Position Overview The Consultant supports delivery of Digital Manufacturing initiatives by acting as a Business Analyst and/or Junior Product Owner within client engagements. This role partners closely with Managers and Senior Managers to define requirements, structure documentation, develop client-ready materials, and support Agile delivery execution. The Consultant plays a key role in translating manufacturing business needs into functional artifacts that enable engineering teams to deliver value. This is a hands-on, consulting and analytical role suited for individuals with early experience in Manufacturing OT, Manufacturing IT or technology. The role also requires a working understanding of artificial intelligence (AI), including generative AI and agentic technologies, and an interest in applying these capabilities to practical manufacturing and business challenges. Key Responsibilities Consulting & Problem Solving Support consulting engagements by analyzing manufacturing business needs, contributing to client discussions, and helping develop practical recommendations and solutions. Business Analysis & Requirements Development • Support facilitation of client workshops to gather functional and non-functional requirements. • Document business processes, current-state pain points, and future-state solution designs. • Develop structured requirements documentation, user stories, and acceptance criteria. • Assist in translating manufacturing KPIs (OEE, quality, throughput, asset performance) into measurable solution objectives. • Maintain traceability between business requirements and delivered functionality. Product & Backlog Support • Support backlog development and refinement under guidance of a Manager or Senior Manager. • Draft epics, features, and user stories aligned to defined roadmap priorities. • Participate in sprint planning, demos, and retrospectives. • Track action items, risks, and dependencies across delivery workstreams. • Assist in maintaining roadmap documentation and milestone trackers. Documentation & Presentation Development Develop high-quality client-ready materials including: Roadmap summaries Workshop outputs Business case inputs Solution overviews Executive presentation drafts: -Structure content using clear, logical storytelling and data-supported insights. -Support development of proposal materials and Statements of Work. -Ensure documentation is clear, concise, and professionally formatted. Agile & Delivery Support • Operate within Agile delivery models (Scrum, SAFe, or hybrid environments). • Support backlog grooming and sprint documentation. • Assist with tracking sprint progress and updating delivery artifacts. • Promote disciplined documentation and communication standards. Manufacturing Domain & Technical Acumen • Build working knowledge of manufacturing business processes (production execution, quality, maintenance, traceability). • Develop familiarity with manufacturing technology ecosystems • Support analysis of integration points across MES, ERP, IoT, and data platforms. AI & Agentic Solution Support • Support identification and documentation of AI-enabled use cases across manufacturing processes, knowledge workflows, decision support, and task automation. • Translate AI use cases into business requirements, process flows, user stories, acceptance criteria, test scenarios, and measurable success criteria. • Build familiarity with large language models, AI agents, retrieval-augmented generation, machine learning, and enterprise AI governance concepts. Required Qualifications • 3+ years of consulting experience in manufacturing, technology, or digital delivery environments. • Proven consulting experience supporting client discussions and helping develop practical recommendations and solutions. • Experience supporting requirements gathering and documentation. • Exposure to Agile delivery methodologies. • Strong written and verbal communication skills. • Analytical mindset with structured problem-solving capabilities. • Proficiency in presentation development tools (e.g., PowerPoint, Excel). Preferred Qualifications • Bachelor's degree • Experience in technology delivery or implementation • Experience with project management practices and project management software • Experience working with cross functional teams such as UI/UX designers, software/data engineers and end users What we offer: Competitive remuneration and various benefits: 401(k) Retirement Plan (Immediate eligibility with 100% employer match up to 4%.) Medical Insurance Maternity and Paternity Leave Long-Term Disability Bereavement leave Generous Sick Leave Internet and Phone stipend Development stipend Wellness stipend Generous Paid Time Off: 20 days in the first year, increasing to 25 days We work fully remotely but expect openness to occasional travel Company culture is rooted in respect and cooperation. You'll be working with great people, who are open to new challenges and directions. If you are tired of the proverbial corporate treadmill, come to us to rest mentally. If you've had luck with employers, we'll do our best not to buck the trend. Additional Info: Range: $100,000 - $115,000 + Bonus Location: Remote (US East Coast) Travel: 10%
11/14/2026
Full time
Job Description C&F is a technology services company providing innovative solutions in Data Management, Big Data, Advanced Analytics and Compliance. With a highly integrated team of 400+ experts, for over 20 years C&F has been delivering superior engineering and premium operations to Fortune 500 companies, primarily in the Life Science industry. About Our Manufacturing Business Unit Our company is organized into unique Business Units, each delivering innovative and differentiated business technology solutions across industries. The Manufacturing Business Unit specializes in enterprise-scale manufacturing solutions that drive site- and network-level outcomes aligned to strategic objectives and KPIs. Our applications, data products, and advanced platform technologies-including AI and IoT-enable Digital Manufacturing at Scale. We primarily serve enterprise clients across Human Pharma, Animal Health, and Consumer Goods industries. Our Manufacturing Business Unit operates through three integrated functions: • Strategy & Growth - Develops differentiated offerings and industry thought leadership. • Business Consulting - Defines client-customized solutions and ensures sustained value realization. • Engineering Delivery - Delivers solution architecture, development, deployment, and sustainment. The Business Consulting function is hiring a Manager, Manufacturing Solutions Business Consultant to serve as a Product Owner and consulting lead across manufacturing digital initiatives. Position Overview The Consultant supports delivery of Digital Manufacturing initiatives by acting as a Business Analyst and/or Junior Product Owner within client engagements. This role partners closely with Managers and Senior Managers to define requirements, structure documentation, develop client-ready materials, and support Agile delivery execution. The Consultant plays a key role in translating manufacturing business needs into functional artifacts that enable engineering teams to deliver value. This is a hands-on, consulting and analytical role suited for individuals with early experience in Manufacturing OT, Manufacturing IT or technology. The role also requires a working understanding of artificial intelligence (AI), including generative AI and agentic technologies, and an interest in applying these capabilities to practical manufacturing and business challenges. Key Responsibilities Consulting & Problem Solving Support consulting engagements by analyzing manufacturing business needs, contributing to client discussions, and helping develop practical recommendations and solutions. Business Analysis & Requirements Development • Support facilitation of client workshops to gather functional and non-functional requirements. • Document business processes, current-state pain points, and future-state solution designs. • Develop structured requirements documentation, user stories, and acceptance criteria. • Assist in translating manufacturing KPIs (OEE, quality, throughput, asset performance) into measurable solution objectives. • Maintain traceability between business requirements and delivered functionality. Product & Backlog Support • Support backlog development and refinement under guidance of a Manager or Senior Manager. • Draft epics, features, and user stories aligned to defined roadmap priorities. • Participate in sprint planning, demos, and retrospectives. • Track action items, risks, and dependencies across delivery workstreams. • Assist in maintaining roadmap documentation and milestone trackers. Documentation & Presentation Development Develop high-quality client-ready materials including: Roadmap summaries Workshop outputs Business case inputs Solution overviews Executive presentation drafts: -Structure content using clear, logical storytelling and data-supported insights. -Support development of proposal materials and Statements of Work. -Ensure documentation is clear, concise, and professionally formatted. Agile & Delivery Support • Operate within Agile delivery models (Scrum, SAFe, or hybrid environments). • Support backlog grooming and sprint documentation. • Assist with tracking sprint progress and updating delivery artifacts. • Promote disciplined documentation and communication standards. Manufacturing Domain & Technical Acumen • Build working knowledge of manufacturing business processes (production execution, quality, maintenance, traceability). • Develop familiarity with manufacturing technology ecosystems • Support analysis of integration points across MES, ERP, IoT, and data platforms. AI & Agentic Solution Support • Support identification and documentation of AI-enabled use cases across manufacturing processes, knowledge workflows, decision support, and task automation. • Translate AI use cases into business requirements, process flows, user stories, acceptance criteria, test scenarios, and measurable success criteria. • Build familiarity with large language models, AI agents, retrieval-augmented generation, machine learning, and enterprise AI governance concepts. Required Qualifications • 3+ years of consulting experience in manufacturing, technology, or digital delivery environments. • Proven consulting experience supporting client discussions and helping develop practical recommendations and solutions. • Experience supporting requirements gathering and documentation. • Exposure to Agile delivery methodologies. • Strong written and verbal communication skills. • Analytical mindset with structured problem-solving capabilities. • Proficiency in presentation development tools (e.g., PowerPoint, Excel). Preferred Qualifications • Bachelor's degree • Experience in technology delivery or implementation • Experience with project management practices and project management software • Experience working with cross functional teams such as UI/UX designers, software/data engineers and end users What we offer: Competitive remuneration and various benefits: 401(k) Retirement Plan (Immediate eligibility with 100% employer match up to 4%.) Medical Insurance Maternity and Paternity Leave Long-Term Disability Bereavement leave Generous Sick Leave Internet and Phone stipend Development stipend Wellness stipend Generous Paid Time Off: 20 days in the first year, increasing to 25 days We work fully remotely but expect openness to occasional travel Company culture is rooted in respect and cooperation. You'll be working with great people, who are open to new challenges and directions. If you are tired of the proverbial corporate treadmill, come to us to rest mentally. If you've had luck with employers, we'll do our best not to buck the trend. Additional Info: Range: $100,000 - $115,000 + Bonus Location: Remote (US East Coast) Travel: 10%
Miebach
Process Mining Technical Analyst/Consultant
Miebach Fishers, Indiana
Job Description Job Description About Miebach Miebach Consulting is one of the world's leading supply chain-focused consulting and engineering firms. For over 50 years, we have helped clients design, optimize, and implement end-to-end supply chain solutions across industries including consumer goods, food, pharma, retail, and high-tech. Our global expertise spans Supply Chain Transformation, Engineering & Operational Excellence, and Digitalization. We are proud to be recognized among SupplyChainBrain's Top 100 Supply Chain Partners, with many of Gartner's Top 25 Supply Chains relying on Miebach to support their strategic initiatives. About the role We are seeking a Process Mining Technical Analyst to provide technical support throughout process mining projects. The role focuses on data preparation, event-log development, process mining configuration, data validation, troubleshooting, and analytical support. The successful candidate must understand process and material flows, particularly within warehouse, transportation, manufacturing, or supply chain environments. They will work closely with process mining consultants, data engineers, project managers, and client teams to ensure that the required data, process logic, KPIs, and dashboards are correctly developed and validated. The role may contribute to identifying process issues and improvement opportunities, but developing business recommendations is not the primary responsibility. Key Responsibilities Project Collaboration and Delivery Work collaboratively as an active member of multidisciplinary project teams. Support process mining projects from data discovery through delivery and handover. Participate in project meetings, workshops, working sessions, and client reviews. Provide regular updates on progress, risks, dependencies, and open technical topics. Process Understanding and Requirements Understand and document operational processes and material flows. Translate business and process requirements into technical data requirements. Identify process objects, activities, timestamps, attributes, and relationships. Support data mapping between source systems and the process mining platform. Data Preparation and Process Models Extract, clean, transform, and prepare data from WMS, TMS, ERP, MES, YMS, and other systems. Build and maintain event logs and process mining data models. Validate data, process logic, calculations, and analytical outputs. Investigate data-quality issues, missing events, inconsistent master data, and unexpected results. Process Mining Analysis and Insights Configure process mining analyses, KPIs, dashboards, filters, and process views. Contribute to the identification of process deviations, bottlenecks, and improvement opportunities when required. Support the preparation of project deliverables, demonstrations, and client presentations. Testing and Technical Troubleshooting Troubleshoot technical issues and coordinate resolution with the project team, IT teams, and platform specialists. Prepare test cases and support system testing and user acceptance testing. Assist with validating system functionality, data connections, and analytical outputs. Documentation and Knowledge Management Maintain technical documentation, data dictionaries, assumptions logs, and configuration records. Document data sources, transformations, process logic, testing results, and relevant project decisions. Qualifications Bachelor's degree in Industrial Engineering, Supply Chain, Data Analytics, Information Systems, Computer Science, or a related field 2-3 years of experience in data analysis, business intelligence, process mining, systems analysis, or technical consulting Strong understanding of process flows and material flows Experience working with transactional or operational data Practical experience with SQL and data preparation Strong attention to detail and ability to validate complex data relationships Ability to understand system transactions and connect them to real operational activities Strong troubleshooting and problem-solving skills Good written and verbal communication skills Ability to work effectively with both technical and business stakeholders Technical Skills Strong SQL skills, including joins, aggregations, window functions, and data-quality checks Understanding of data modeling, relational databases, and ETL/ELT concepts Strong Excel skills for data analysis, validation, and reconciliation Experience working with transactional and operational data Ability to understand data structures and connect system transactions to operational and material flows Experience with PQL, particularly when working with Celonis, is preferred Familiarity with process-mining platforms such as Celonis, SAP Signavio Process Intelligence, UiPath Process Mining, IBM Process Mining, or Apromore is preferred; experience with one or more platforms is sufficient Experience with Power BI or Tableau is preferred Familiarity with AI, machine learning, or advanced analytics in process-mining work-such as anomaly detection, root-cause analysis, or predictive insights-is a plus Exposure to APIs, cloud platforms, or data lakes is an asset Core Competencies Understanding of operational and material flows Technical data analysis Data quality and validation Structured troubleshooting Attention to detail Documentation and organization Collaboration and communication Ability to learn new systems and technologies Reliability and ownership Typical Deliverables Data requirements and source-to-target mappings Data dictionaries and process-flow documentation Event logs and process mining data models KPI calculations and technical definitions Dashboards and analytical views Data-quality assessments Test scripts and validation results Technical documentation and configuration records Support materials for workshops and client presentations Why Join Miebach? Flexible work hours & hybrid/remote options Competitive compensation + performance-based bonuses Comprehensive health benefits (medical, dental, vision) Career development programs & international training Flexible PTO, generous parental leave, and paid holidays 401(k) contributions & financial wellness programs PIa69d29723c4e-9205
11/12/2026
Full time
Job Description Job Description About Miebach Miebach Consulting is one of the world's leading supply chain-focused consulting and engineering firms. For over 50 years, we have helped clients design, optimize, and implement end-to-end supply chain solutions across industries including consumer goods, food, pharma, retail, and high-tech. Our global expertise spans Supply Chain Transformation, Engineering & Operational Excellence, and Digitalization. We are proud to be recognized among SupplyChainBrain's Top 100 Supply Chain Partners, with many of Gartner's Top 25 Supply Chains relying on Miebach to support their strategic initiatives. About the role We are seeking a Process Mining Technical Analyst to provide technical support throughout process mining projects. The role focuses on data preparation, event-log development, process mining configuration, data validation, troubleshooting, and analytical support. The successful candidate must understand process and material flows, particularly within warehouse, transportation, manufacturing, or supply chain environments. They will work closely with process mining consultants, data engineers, project managers, and client teams to ensure that the required data, process logic, KPIs, and dashboards are correctly developed and validated. The role may contribute to identifying process issues and improvement opportunities, but developing business recommendations is not the primary responsibility. Key Responsibilities Project Collaboration and Delivery Work collaboratively as an active member of multidisciplinary project teams. Support process mining projects from data discovery through delivery and handover. Participate in project meetings, workshops, working sessions, and client reviews. Provide regular updates on progress, risks, dependencies, and open technical topics. Process Understanding and Requirements Understand and document operational processes and material flows. Translate business and process requirements into technical data requirements. Identify process objects, activities, timestamps, attributes, and relationships. Support data mapping between source systems and the process mining platform. Data Preparation and Process Models Extract, clean, transform, and prepare data from WMS, TMS, ERP, MES, YMS, and other systems. Build and maintain event logs and process mining data models. Validate data, process logic, calculations, and analytical outputs. Investigate data-quality issues, missing events, inconsistent master data, and unexpected results. Process Mining Analysis and Insights Configure process mining analyses, KPIs, dashboards, filters, and process views. Contribute to the identification of process deviations, bottlenecks, and improvement opportunities when required. Support the preparation of project deliverables, demonstrations, and client presentations. Testing and Technical Troubleshooting Troubleshoot technical issues and coordinate resolution with the project team, IT teams, and platform specialists. Prepare test cases and support system testing and user acceptance testing. Assist with validating system functionality, data connections, and analytical outputs. Documentation and Knowledge Management Maintain technical documentation, data dictionaries, assumptions logs, and configuration records. Document data sources, transformations, process logic, testing results, and relevant project decisions. Qualifications Bachelor's degree in Industrial Engineering, Supply Chain, Data Analytics, Information Systems, Computer Science, or a related field 2-3 years of experience in data analysis, business intelligence, process mining, systems analysis, or technical consulting Strong understanding of process flows and material flows Experience working with transactional or operational data Practical experience with SQL and data preparation Strong attention to detail and ability to validate complex data relationships Ability to understand system transactions and connect them to real operational activities Strong troubleshooting and problem-solving skills Good written and verbal communication skills Ability to work effectively with both technical and business stakeholders Technical Skills Strong SQL skills, including joins, aggregations, window functions, and data-quality checks Understanding of data modeling, relational databases, and ETL/ELT concepts Strong Excel skills for data analysis, validation, and reconciliation Experience working with transactional and operational data Ability to understand data structures and connect system transactions to operational and material flows Experience with PQL, particularly when working with Celonis, is preferred Familiarity with process-mining platforms such as Celonis, SAP Signavio Process Intelligence, UiPath Process Mining, IBM Process Mining, or Apromore is preferred; experience with one or more platforms is sufficient Experience with Power BI or Tableau is preferred Familiarity with AI, machine learning, or advanced analytics in process-mining work-such as anomaly detection, root-cause analysis, or predictive insights-is a plus Exposure to APIs, cloud platforms, or data lakes is an asset Core Competencies Understanding of operational and material flows Technical data analysis Data quality and validation Structured troubleshooting Attention to detail Documentation and organization Collaboration and communication Ability to learn new systems and technologies Reliability and ownership Typical Deliverables Data requirements and source-to-target mappings Data dictionaries and process-flow documentation Event logs and process mining data models KPI calculations and technical definitions Dashboards and analytical views Data-quality assessments Test scripts and validation results Technical documentation and configuration records Support materials for workshops and client presentations Why Join Miebach? Flexible work hours & hybrid/remote options Competitive compensation + performance-based bonuses Comprehensive health benefits (medical, dental, vision) Career development programs & international training Flexible PTO, generous parental leave, and paid holidays 401(k) contributions & financial wellness programs PIa69d29723c4e-9205
Radar Product Manager
LeoLabs, Inc. Denver, Colorado
Job Description Job Description Why LeoLabs? At LeoLabs, we're building the living map of activity in space. Through our proprietary global radar network and AI-enabled analytics platform, we collect millions of measurements each day on more than 25,000 objects in low Earth orbit (LEO). Our radar-powered intelligence helps protect critical assets, characterize activity in orbit, monitor emerging threats, and enable safer and more effective operations for commercial and government missions. We're not just building technology-we are redefining global security, safety, and transparency in space. As orbital activity accelerates and the operating environment becomes increasingly complex, LeoLabs is a trusted partner for Space Domain Awareness, Space Traffic Management, satellite operations, and national security missions around the world. If you're looking to work on mission-critical challenges at the intersection of aerospace, national security, sensing, software, data, and AI, your impact starts here. This position is contingent upon final approval, with an anticipated hiring timeline beginning as early as January 2027. We are beginning the search in advance of the anticipated hiring timeline. LeoLabs is seeking a Radar Product Manager to lead the continued development, commercialization, and growth of our transportable radar product, our radar-based space domain awareness product. Our transportable radar product combines advanced radar sensing, software, data processing, and operational capabilities to provide customers with persistent, high-quality information about objects and activity in low Earth orbit. Our transportable radar product extends LeoLabs' ability to deploy sensing capability where customers need it and enables a range of commercial and government missions. This role sits at the intersection of customers, product strategy, radar technology, engineering, operations, deployment, and business objectives. You will be responsible for understanding customer missions and market opportunities, defining where our transportable radar product should compete, shaping the capabilities and configurations customers need, and helping turn advanced radar technology into scalable products and services customers can buy, deploy, and operate. The ideal candidate is a strong product thinker with both commercial and technical judgment. You should have experience working in the space industry or in a closely related aerospace or national-security environment, be comfortable working with complex hardware and software systems, and be able to translate customer missions and technical capabilities into clear product and business direction. What You'll Do Own the product and business strategy for our transportable radar product, including product vision, roadmap, market positioning, prioritization, packaging, configurations, and execution Develop a deep understanding of our transportable radar product customers, users, missions, workflows, operational environments, procurement considerations, and buying behavior Work directly with commercial and government customers, operators, mission partners, internal stakeholders, and subject-matter experts to identify unmet needs, validate product opportunities, and determine where our transportable radar product can create differentiated value Identify and prioritize market segments, mission areas, use cases, deployment models, and customer problems where our transportable radar product can create meaningful mission impact and business growth Translate customer, mission, and business requirements into clear product requirements, system capabilities, configurations, interfaces, and prioritized development work Partner closely with radar, hardware, software, systems, data, infrastructure, and operations teams throughout the product lifecycle, from discovery and definition through development, integration, testing, deployment, operation, and iteration Make product investment decisions based on customer value, strategic differentiation, revenue potential, sensor performance, technical feasibility, operational complexity, scalability, and company priorities Define how our transportable radar product capabilities, configurations, service levels, and access models are packaged and positioned so customers can clearly understand what they are buying, what mission outcomes it enables, and how it differs from other LeoLabs offerings Partner with Sales, Business Development, Marketing, and Customer Success to support customer engagements, technical discussions, demonstrations, proposals, strategic pursuits, pilots, and go-to-market activities Help shape pricing, packaging, service models, and commercial structures for our transportable radar product offerings in partnership with Product leadership and other business stakeholders Develop a strong understanding of the tradeoffs between radar performance, deployment location, coverage, capacity, tasking, reliability, availability, maintainability, cost, and customer mission outcomes Partner with Engineering and Operations to understand radar performance and identify opportunities to improve sensing capability, data quality, coverage, availability, operational efficiency, and customer value Help define requirements for how customers interact with and task our transportable radar product, how measurements and data products are delivered, and how our transportable radar product integrates with customer and LeoLabs software systems Maintain and communicate a clear product roadmap and ensure alignment across Product, Engineering, Radar Operations, Sales, Business Development, Customer Success, and company leadership Define and monitor product, business, and operational metrics that measure customer outcomes, radar performance, availability, utilization, adoption, reliability, deployment effectiveness, revenue impact, and overall product performance Lead product launches and internal enablement, ensuring that customer-facing teams can effectively explain, demonstrate, position, and sell our transportable radar product capabilities Continuously evaluate competing sensing solutions, emerging radar and sensor technologies, customer acquisition trends, market developments, and evolving space and national-security requirements to identify new opportunities for our transportable radar product Distinguish between one-off customer requirements and repeatable market needs, ensuring our transportable radar product evolves as a scalable product family rather than a collection of bespoke radar programs Help establish and improve product management practices as LeoLabs continues to scale its product organization What We're Looking For 5+ years of product management experience, preferably with products involving hardware, software, data, sensing, infrastructure, or other complex technical systems Professional experience working in the space industry, or in a closely related aerospace, defense, or national-security environment, with demonstrated understanding of space missions, customers, operators, or technologies Demonstrated experience owning products or significant product areas from market discovery and product strategy through development, deployment, launch, adoption, and iteration Strong business judgment and the ability to connect product decisions to customer mission outcomes, competitive differentiation, revenue opportunities, and company strategy Strong customer orientation and experience engaging directly with customers to uncover needs, validate opportunities, and translate feedback into scalable products Demonstrated ability to understand complex technical systems and translate technical capabilities, limitations, and tradeoffs into clear product direction and priorities Experience working across multidisciplinary engineering teams that may include hardware, software, systems, infrastructure, data, operations, or related technical functions Ability to make informed prioritization decisions across competing customer requests, market opportunities, engineering constraints, operational considerations, cost, schedule, and strategic priorities Excellent written and verbal communication skills, with the ability to communicate effectively with engineers, operators, customers, executives, and other technical and non-technical audiences Strong analytical and problem-solving skills, including the ability to use technical performance data, customer feedback, market information, and business considerations to make product decisions Ability to operate effectively in a fast-moving environment where customer needs, technology, operational conditions, and market requirements can evolve quickly Curiosity and willingness to develop deeper expertise in radar, RF systems, space surveillance, orbital operations, and related technical domains Ability to operate with a high degree of ownership and independently drive product decisions while building alignment across multiple organizations Willingness and ability to travel domestically and internationally to engage directly with customers, partners, deployment teams, and internal stakeholders LeoLabs is a global company with customers, radar sites, partners, and users around the world, and this role will require periodic travel to understand customer missions, support key engagements and deployments, and represent the product in-market Preferred Qualifications Experience with radar, RF systems, remote sensing, ground-based sensors, satellite sensors . click apply for full job details
11/11/2026
Full time
Job Description Job Description Why LeoLabs? At LeoLabs, we're building the living map of activity in space. Through our proprietary global radar network and AI-enabled analytics platform, we collect millions of measurements each day on more than 25,000 objects in low Earth orbit (LEO). Our radar-powered intelligence helps protect critical assets, characterize activity in orbit, monitor emerging threats, and enable safer and more effective operations for commercial and government missions. We're not just building technology-we are redefining global security, safety, and transparency in space. As orbital activity accelerates and the operating environment becomes increasingly complex, LeoLabs is a trusted partner for Space Domain Awareness, Space Traffic Management, satellite operations, and national security missions around the world. If you're looking to work on mission-critical challenges at the intersection of aerospace, national security, sensing, software, data, and AI, your impact starts here. This position is contingent upon final approval, with an anticipated hiring timeline beginning as early as January 2027. We are beginning the search in advance of the anticipated hiring timeline. LeoLabs is seeking a Radar Product Manager to lead the continued development, commercialization, and growth of our transportable radar product, our radar-based space domain awareness product. Our transportable radar product combines advanced radar sensing, software, data processing, and operational capabilities to provide customers with persistent, high-quality information about objects and activity in low Earth orbit. Our transportable radar product extends LeoLabs' ability to deploy sensing capability where customers need it and enables a range of commercial and government missions. This role sits at the intersection of customers, product strategy, radar technology, engineering, operations, deployment, and business objectives. You will be responsible for understanding customer missions and market opportunities, defining where our transportable radar product should compete, shaping the capabilities and configurations customers need, and helping turn advanced radar technology into scalable products and services customers can buy, deploy, and operate. The ideal candidate is a strong product thinker with both commercial and technical judgment. You should have experience working in the space industry or in a closely related aerospace or national-security environment, be comfortable working with complex hardware and software systems, and be able to translate customer missions and technical capabilities into clear product and business direction. What You'll Do Own the product and business strategy for our transportable radar product, including product vision, roadmap, market positioning, prioritization, packaging, configurations, and execution Develop a deep understanding of our transportable radar product customers, users, missions, workflows, operational environments, procurement considerations, and buying behavior Work directly with commercial and government customers, operators, mission partners, internal stakeholders, and subject-matter experts to identify unmet needs, validate product opportunities, and determine where our transportable radar product can create differentiated value Identify and prioritize market segments, mission areas, use cases, deployment models, and customer problems where our transportable radar product can create meaningful mission impact and business growth Translate customer, mission, and business requirements into clear product requirements, system capabilities, configurations, interfaces, and prioritized development work Partner closely with radar, hardware, software, systems, data, infrastructure, and operations teams throughout the product lifecycle, from discovery and definition through development, integration, testing, deployment, operation, and iteration Make product investment decisions based on customer value, strategic differentiation, revenue potential, sensor performance, technical feasibility, operational complexity, scalability, and company priorities Define how our transportable radar product capabilities, configurations, service levels, and access models are packaged and positioned so customers can clearly understand what they are buying, what mission outcomes it enables, and how it differs from other LeoLabs offerings Partner with Sales, Business Development, Marketing, and Customer Success to support customer engagements, technical discussions, demonstrations, proposals, strategic pursuits, pilots, and go-to-market activities Help shape pricing, packaging, service models, and commercial structures for our transportable radar product offerings in partnership with Product leadership and other business stakeholders Develop a strong understanding of the tradeoffs between radar performance, deployment location, coverage, capacity, tasking, reliability, availability, maintainability, cost, and customer mission outcomes Partner with Engineering and Operations to understand radar performance and identify opportunities to improve sensing capability, data quality, coverage, availability, operational efficiency, and customer value Help define requirements for how customers interact with and task our transportable radar product, how measurements and data products are delivered, and how our transportable radar product integrates with customer and LeoLabs software systems Maintain and communicate a clear product roadmap and ensure alignment across Product, Engineering, Radar Operations, Sales, Business Development, Customer Success, and company leadership Define and monitor product, business, and operational metrics that measure customer outcomes, radar performance, availability, utilization, adoption, reliability, deployment effectiveness, revenue impact, and overall product performance Lead product launches and internal enablement, ensuring that customer-facing teams can effectively explain, demonstrate, position, and sell our transportable radar product capabilities Continuously evaluate competing sensing solutions, emerging radar and sensor technologies, customer acquisition trends, market developments, and evolving space and national-security requirements to identify new opportunities for our transportable radar product Distinguish between one-off customer requirements and repeatable market needs, ensuring our transportable radar product evolves as a scalable product family rather than a collection of bespoke radar programs Help establish and improve product management practices as LeoLabs continues to scale its product organization What We're Looking For 5+ years of product management experience, preferably with products involving hardware, software, data, sensing, infrastructure, or other complex technical systems Professional experience working in the space industry, or in a closely related aerospace, defense, or national-security environment, with demonstrated understanding of space missions, customers, operators, or technologies Demonstrated experience owning products or significant product areas from market discovery and product strategy through development, deployment, launch, adoption, and iteration Strong business judgment and the ability to connect product decisions to customer mission outcomes, competitive differentiation, revenue opportunities, and company strategy Strong customer orientation and experience engaging directly with customers to uncover needs, validate opportunities, and translate feedback into scalable products Demonstrated ability to understand complex technical systems and translate technical capabilities, limitations, and tradeoffs into clear product direction and priorities Experience working across multidisciplinary engineering teams that may include hardware, software, systems, infrastructure, data, operations, or related technical functions Ability to make informed prioritization decisions across competing customer requests, market opportunities, engineering constraints, operational considerations, cost, schedule, and strategic priorities Excellent written and verbal communication skills, with the ability to communicate effectively with engineers, operators, customers, executives, and other technical and non-technical audiences Strong analytical and problem-solving skills, including the ability to use technical performance data, customer feedback, market information, and business considerations to make product decisions Ability to operate effectively in a fast-moving environment where customer needs, technology, operational conditions, and market requirements can evolve quickly Curiosity and willingness to develop deeper expertise in radar, RF systems, space surveillance, orbital operations, and related technical domains Ability to operate with a high degree of ownership and independently drive product decisions while building alignment across multiple organizations Willingness and ability to travel domestically and internationally to engage directly with customers, partners, deployment teams, and internal stakeholders LeoLabs is a global company with customers, radar sites, partners, and users around the world, and this role will require periodic travel to understand customer missions, support key engagements and deployments, and represent the product in-market Preferred Qualifications Experience with radar, RF systems, remote sensing, ground-based sensors, satellite sensors . click apply for full job details
Product Owner, Business Intelligence, Automation, and AI
TireHub, LLC Atlanta, Georgia
Job Description Job Description Product Owner, Business Intelligence, Automation and AI Position Summary: At TireHub we move more than tires - we move businesses forward, support communities, and help keep America rolling. And behind it all? Our people. We call them Hubbers - because they're at the center of everything we do. From behind the wheel to the warehouse floor, from customer calls to corporate strategy, every Hubber plays a role in something bigger than themselves. And we show up every day ready to say yes - to challenges, to each other, and to getting it done right. The Product Owner, Business Intelligence, Automation and AI plans and coordinates the development, enhancement, prioritization, and adoption of AI, automation, data warehouse, and Power BI reporting products with TireHub's business partners. This position provides product leadership and subject matter expertise across intelligent automation, applied AI, enterprise data, analytics, and reporting solutions. The Product Owner serves as the primary liaison between business stakeholders, technical teams, vendors, and leadership to ensure product roadmaps, backlogs, and delivered solutions align with TireHub's strategic priorities, operational needs, governance standards, and measurable business value. This position reports to Director, Enterprise Applications. The individual must exhibit the following core TireHub commitments: Approachable - If a company could smile, we would. Instead, we rely on our people to show it. We care about each other and our customers because we know business only gets done right when people respect each other and value relationships. Adventurous - What TireHub is set up to do is intentionally outrageous. So, we readily embrace challenges with the courage to introduce new ideas and the ambition to build something unique. Relentless - We tackle our work with energy. We deliver on our commitments with enthusiasm. And we don't give up until we get to the end. Speedy - Speed is the currency in the tire industry. When we commit to a job, we get the job done - and we do it fast. Role Specifics: Owns, maintains, and communicates the short-term and long-term product roadmap for AI, automation, enterprise data, data warehouse, and Power BI reporting capabilities. Partners with business leaders and stakeholders to identify, evaluate, and prioritize high-value use cases for AI, workflow automation, data products, dashboards, analytics, and reporting solutions. Maintains, and accounts for product team progress to business stakeholders in bi-weekly prioritization. Works with assigned architect and business analyst on ongoing process of backlog grooming and elaboration to prepare actionable content for sprints. Works with technical leads in assigned areas to plan appropriate level of resource augmentation with offshore partners. Works with the scrum master on fine tuning the agile process for the product team through retrospectives and metric analysis. Creates, maintains, and prioritizes product backlog items, user stories, epics, acceptance criteria, and delivery priorities based on business value, urgency, customer needs, resource availability, and strategic alignment. Acts as the primary point of contact between business stakeholders, data teams, automation engineers, AI enablement teams, vendors, and IT leadership to translate business needs into clear, actionable product requirements. Guides Agile delivery teams through successful delivery of committed sprints, ensuring requirements are clearly understood, business priorities are aligned, and blockers are resolved quickly. Collaborates with AI and automation technical resources to define, evaluate, pilot, and scale solutions such as workflow automation, robotic process automation, AI agents, copilots, generative AI-enabled processes, and intelligent business workflows. Works with data engineering and BI teams to support the data warehouse lifecycle, including source data intake, data modeling, transformation requirements, data quality expectations, metadata standards, and reporting needs. Partners with Power BI developers and business stakeholders to define trusted datasets, dashboards, reports, KPIs, data definitions, report adoption plans, and actionable insights for leadership and operational teams. Supports data governance, AI governance, security, privacy, and access control requirements by ensuring solutions follow TireHub standards for responsible AI use, data protection, and approved business processes. Prepares business cases, value estimates, adoption plans, and success metrics for AI, automation, data warehouse, and reporting initiatives. Evaluates emerging AI, automation, data, and analytics tools and capabilities, coordinating pilots and proofs of concept to determine business value and implementation feasibility. Facilitates QA, UAT, and validation activities to ensure delivered solutions meet business requirements, acceptance criteria, data quality expectations, and reporting accuracy standards. Monitors product performance, adoption, user feedback, and operational outcomes to continuously improve AI, automation, data, and reporting products. Communicates product priorities, delivery progress, risks, dependencies, and value realization to stakeholders and leadership in clear business terms. Facilitates problem resolution and removes blockers that are preventing delivery progression or product adoption. Participates and maintains ongoing training requirements through in-class, in-person, or computer-based learning modules, as assigned. Ensures individual adherence to TireHub policies, procedures, and guidelines. Completes other tasks assigned by their supervisor or another member of Leadership, as requested. Competencies: Product Vision & Strategy: Defines and communicates clear product direction, roadmaps, priorities, and value outcomes for AI, automation, data, and reporting capabilities. Innovation Orientation: Commits to creating and exploring new approaches, particularly at the intersection of AI, automation, and analytics, that enhance business performance. Data-Driven Decision Making: Uses analytics, KPIs, product metrics, business outcomes, and stakeholder feedback to guide product decisions and prioritization. Business & Financial Acumen: Understands ROI, cost savings, efficiency gains, risk reduction, adoption, and business value when evaluating product investments and delivery decisions. Optimizes Work Processes: Identifies and implements efficient processes, automation opportunities, and continuous improvement practices to improve business outcomes. Collaborates: Builds strong partnerships and works collaboratively with business stakeholders, IT teams, vendors, and leadership to achieve shared objectives. Agility and Adaptability: Thrives in an Agile environment and embraces new technologies, methods, and business priorities in a fast-moving AI, automation, and analytics landscape. Communication: Communicates technical concepts, data insights, product priorities, and delivery progress clearly to both technical and non-technical audiences. Education and Experience: Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business, Engineering, or a related field required; an equivalent combination of education and experience will be considered. 5+ years of experience in product ownership, business analysis, product management, data analytics, business intelligence, automation, enterprise applications, or a related technology delivery role. 2+ years of experience applying Agile project management methodologies, preferably using JIRA or a similar tool. Experience creating product roadmaps, managing backlogs, writing user stories, defining acceptance criteria, and supporting Agile and Scrum delivery teams. Experience working with AI, automation, workflow modernization, Power Platform, Copilot, generative AI, or related emerging technology capabilities preferred. Experience with data warehouse, data lake, Lakehouse, ETL/ELT, data modeling, data governance, or enterprise reporting concepts preferred. Experience with Power BI reporting, including dashboards, datasets, KPIs, data visualization, and report adoption preferred. Experience translating business requirements into technical specifications for data, reporting, automation, or AI-enabled solutions. Strong organizational skills and demonstrated ability to manage multiple initiatives and drive them to successful, on-schedule completion. Experience working and collaborating with remote or geographically distributed team members across multiple time zones. Experience in distribution, supply chain, retail, logistics, or a similar industry preferred. Required Knowledge, Skills, and Abilities: Strong understanding of product ownership practices, including Agile delivery methodologies, backlog management, sprint planning, and stakeholder prioritization. Ability to analyze business processes, identify operational pain points, and translate improvement opportunities into clearly defined product requirements for AI, automation, data, and reporting solutions. Working knowledge of Power BI, including dashboard and report development, dataset management, KPI definition, data definitions . click apply for full job details
11/11/2026
Full time
Job Description Job Description Product Owner, Business Intelligence, Automation and AI Position Summary: At TireHub we move more than tires - we move businesses forward, support communities, and help keep America rolling. And behind it all? Our people. We call them Hubbers - because they're at the center of everything we do. From behind the wheel to the warehouse floor, from customer calls to corporate strategy, every Hubber plays a role in something bigger than themselves. And we show up every day ready to say yes - to challenges, to each other, and to getting it done right. The Product Owner, Business Intelligence, Automation and AI plans and coordinates the development, enhancement, prioritization, and adoption of AI, automation, data warehouse, and Power BI reporting products with TireHub's business partners. This position provides product leadership and subject matter expertise across intelligent automation, applied AI, enterprise data, analytics, and reporting solutions. The Product Owner serves as the primary liaison between business stakeholders, technical teams, vendors, and leadership to ensure product roadmaps, backlogs, and delivered solutions align with TireHub's strategic priorities, operational needs, governance standards, and measurable business value. This position reports to Director, Enterprise Applications. The individual must exhibit the following core TireHub commitments: Approachable - If a company could smile, we would. Instead, we rely on our people to show it. We care about each other and our customers because we know business only gets done right when people respect each other and value relationships. Adventurous - What TireHub is set up to do is intentionally outrageous. So, we readily embrace challenges with the courage to introduce new ideas and the ambition to build something unique. Relentless - We tackle our work with energy. We deliver on our commitments with enthusiasm. And we don't give up until we get to the end. Speedy - Speed is the currency in the tire industry. When we commit to a job, we get the job done - and we do it fast. Role Specifics: Owns, maintains, and communicates the short-term and long-term product roadmap for AI, automation, enterprise data, data warehouse, and Power BI reporting capabilities. Partners with business leaders and stakeholders to identify, evaluate, and prioritize high-value use cases for AI, workflow automation, data products, dashboards, analytics, and reporting solutions. Maintains, and accounts for product team progress to business stakeholders in bi-weekly prioritization. Works with assigned architect and business analyst on ongoing process of backlog grooming and elaboration to prepare actionable content for sprints. Works with technical leads in assigned areas to plan appropriate level of resource augmentation with offshore partners. Works with the scrum master on fine tuning the agile process for the product team through retrospectives and metric analysis. Creates, maintains, and prioritizes product backlog items, user stories, epics, acceptance criteria, and delivery priorities based on business value, urgency, customer needs, resource availability, and strategic alignment. Acts as the primary point of contact between business stakeholders, data teams, automation engineers, AI enablement teams, vendors, and IT leadership to translate business needs into clear, actionable product requirements. Guides Agile delivery teams through successful delivery of committed sprints, ensuring requirements are clearly understood, business priorities are aligned, and blockers are resolved quickly. Collaborates with AI and automation technical resources to define, evaluate, pilot, and scale solutions such as workflow automation, robotic process automation, AI agents, copilots, generative AI-enabled processes, and intelligent business workflows. Works with data engineering and BI teams to support the data warehouse lifecycle, including source data intake, data modeling, transformation requirements, data quality expectations, metadata standards, and reporting needs. Partners with Power BI developers and business stakeholders to define trusted datasets, dashboards, reports, KPIs, data definitions, report adoption plans, and actionable insights for leadership and operational teams. Supports data governance, AI governance, security, privacy, and access control requirements by ensuring solutions follow TireHub standards for responsible AI use, data protection, and approved business processes. Prepares business cases, value estimates, adoption plans, and success metrics for AI, automation, data warehouse, and reporting initiatives. Evaluates emerging AI, automation, data, and analytics tools and capabilities, coordinating pilots and proofs of concept to determine business value and implementation feasibility. Facilitates QA, UAT, and validation activities to ensure delivered solutions meet business requirements, acceptance criteria, data quality expectations, and reporting accuracy standards. Monitors product performance, adoption, user feedback, and operational outcomes to continuously improve AI, automation, data, and reporting products. Communicates product priorities, delivery progress, risks, dependencies, and value realization to stakeholders and leadership in clear business terms. Facilitates problem resolution and removes blockers that are preventing delivery progression or product adoption. Participates and maintains ongoing training requirements through in-class, in-person, or computer-based learning modules, as assigned. Ensures individual adherence to TireHub policies, procedures, and guidelines. Completes other tasks assigned by their supervisor or another member of Leadership, as requested. Competencies: Product Vision & Strategy: Defines and communicates clear product direction, roadmaps, priorities, and value outcomes for AI, automation, data, and reporting capabilities. Innovation Orientation: Commits to creating and exploring new approaches, particularly at the intersection of AI, automation, and analytics, that enhance business performance. Data-Driven Decision Making: Uses analytics, KPIs, product metrics, business outcomes, and stakeholder feedback to guide product decisions and prioritization. Business & Financial Acumen: Understands ROI, cost savings, efficiency gains, risk reduction, adoption, and business value when evaluating product investments and delivery decisions. Optimizes Work Processes: Identifies and implements efficient processes, automation opportunities, and continuous improvement practices to improve business outcomes. Collaborates: Builds strong partnerships and works collaboratively with business stakeholders, IT teams, vendors, and leadership to achieve shared objectives. Agility and Adaptability: Thrives in an Agile environment and embraces new technologies, methods, and business priorities in a fast-moving AI, automation, and analytics landscape. Communication: Communicates technical concepts, data insights, product priorities, and delivery progress clearly to both technical and non-technical audiences. Education and Experience: Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business, Engineering, or a related field required; an equivalent combination of education and experience will be considered. 5+ years of experience in product ownership, business analysis, product management, data analytics, business intelligence, automation, enterprise applications, or a related technology delivery role. 2+ years of experience applying Agile project management methodologies, preferably using JIRA or a similar tool. Experience creating product roadmaps, managing backlogs, writing user stories, defining acceptance criteria, and supporting Agile and Scrum delivery teams. Experience working with AI, automation, workflow modernization, Power Platform, Copilot, generative AI, or related emerging technology capabilities preferred. Experience with data warehouse, data lake, Lakehouse, ETL/ELT, data modeling, data governance, or enterprise reporting concepts preferred. Experience with Power BI reporting, including dashboards, datasets, KPIs, data visualization, and report adoption preferred. Experience translating business requirements into technical specifications for data, reporting, automation, or AI-enabled solutions. Strong organizational skills and demonstrated ability to manage multiple initiatives and drive them to successful, on-schedule completion. Experience working and collaborating with remote or geographically distributed team members across multiple time zones. Experience in distribution, supply chain, retail, logistics, or a similar industry preferred. Required Knowledge, Skills, and Abilities: Strong understanding of product ownership practices, including Agile delivery methodologies, backlog management, sprint planning, and stakeholder prioritization. Ability to analyze business processes, identify operational pain points, and translate improvement opportunities into clearly defined product requirements for AI, automation, data, and reporting solutions. Working knowledge of Power BI, including dashboard and report development, dataset management, KPI definition, data definitions . click apply for full job details
Miebach
Process Mining Technical Analyst/Consultant
Miebach Fishers, Indiana
About Miebach Miebach Consulting is one of the world's leading supply chain-focused consulting and engineering firms. For over 50 years, we have helped clients design, optimize, and implement end-to-end supply chain solutions across industries including consumer goods, food, pharma, retail, and high-tech. Our global expertise spans Supply Chain Transformation, Engineering & Operational Excellence, and Digitalization. We are proud to be recognized among SupplyChainBrain's Top 100 Supply Chain Partners, with many of Gartner's Top 25 Supply Chains relying on Miebach to support their strategic initiatives. About the role We are seeking a Process Mining Technical Analyst to provide technical support throughout process mining projects. The role focuses on data preparation, event-log development, process mining configuration, data validation, troubleshooting, and analytical support. The successful candidate must understand process and material flows, particularly within warehouse, transportation, manufacturing, or supply chain environments. They will work closely with process mining consultants, data engineers, project managers, and client teams to ensure that the required data, process logic, KPIs, and dashboards are correctly developed and validated. The role may contribute to identifying process issues and improvement opportunities, but developing business recommendations is not the primary responsibility. Key Responsibilities Project Collaboration and Delivery Work collaboratively as an active member of multidisciplinary project teams. Support process mining projects from data discovery through delivery and handover. Participate in project meetings, workshops, working sessions, and client reviews. Provide regular updates on progress, risks, dependencies, and open technical topics. Process Understanding and Requirements Understand and document operational processes and material flows. Translate business and process requirements into technical data requirements. Identify process objects, activities, timestamps, attributes, and relationships. Support data mapping between source systems and the process mining platform. Data Preparation and Process Models Extract, clean, transform, and prepare data from WMS, TMS, ERP, MES, YMS, and other systems. Build and maintain event logs and process mining data models. Validate data, process logic, calculations, and analytical outputs. Investigate data-quality issues, missing events, inconsistent master data, and unexpected results. Process Mining Analysis and Insights Configure process mining analyses, KPIs, dashboards, filters, and process views. Contribute to the identification of process deviations, bottlenecks, and improvement opportunities when required. Support the preparation of project deliverables, demonstrations, and client presentations. Testing and Technical Troubleshooting Troubleshoot technical issues and coordinate resolution with the project team, IT teams, and platform specialists. Prepare test cases and support system testing and user acceptance testing. Assist with validating system functionality, data connections, and analytical outputs. Documentation and Knowledge Management Maintain technical documentation, data dictionaries, assumptions logs, and configuration records. Document data sources, transformations, process logic, testing results, and relevant project decisions. Qualifications Bachelor's degree in Industrial Engineering, Supply Chain, Data Analytics, Information Systems, Computer Science, or a related field 2-3 years of experience in data analysis, business intelligence, process mining, systems analysis, or technical consulting Strong understanding of process flows and material flows Experience working with transactional or operational data Practical experience with SQL and data preparation Strong attention to detail and ability to validate complex data relationships Ability to understand system transactions and connect them to real operational activities Strong troubleshooting and problem-solving skills Good written and verbal communication skills Ability to work effectively with both technical and business stakeholders Technical Skills Strong SQL skills, including joins, aggregations, window functions, and data-quality checks Understanding of data modeling, relational databases, and ETL/ELT concepts Strong Excel skills for data analysis, validation, and reconciliation Experience working with transactional and operational data Ability to understand data structures and connect system transactions to operational and material flows Experience with PQL, particularly when working with Celonis, is preferred Familiarity with process-mining platforms such as Celonis, SAP Signavio Process Intelligence, UiPath Process Mining, IBM Process Mining, or Apromore is preferred; experience with one or more platforms is sufficient Experience with Power BI or Tableau is preferred Familiarity with AI, machine learning, or advanced analytics in process-mining work-such as anomaly detection, root-cause analysis, or predictive insights-is a plus Exposure to APIs, cloud platforms, or data lakes is an asset Core Competencies Understanding of operational and material flows Technical data analysis Data quality and validation Structured troubleshooting Attention to detail Documentation and organization Collaboration and communication Ability to learn new systems and technologies Reliability and ownership Typical Deliverables Data requirements and source-to-target mappings Data dictionaries and process-flow documentation Event logs and process mining data models KPI calculations and technical definitions Dashboards and analytical views Data-quality assessments Test scripts and validation results Technical documentation and configuration records Support materials for workshops and client presentations Why Join Miebach? Flexible work hours & hybrid/remote options Competitive compensation + performance-based bonuses Comprehensive health benefits (medical, dental, vision) Career development programs & international training Flexible PTO, generous parental leave, and paid holidays 401(k) contributions & financial wellness programs PI8211be5-
11/02/2026
Full time
About Miebach Miebach Consulting is one of the world's leading supply chain-focused consulting and engineering firms. For over 50 years, we have helped clients design, optimize, and implement end-to-end supply chain solutions across industries including consumer goods, food, pharma, retail, and high-tech. Our global expertise spans Supply Chain Transformation, Engineering & Operational Excellence, and Digitalization. We are proud to be recognized among SupplyChainBrain's Top 100 Supply Chain Partners, with many of Gartner's Top 25 Supply Chains relying on Miebach to support their strategic initiatives. About the role We are seeking a Process Mining Technical Analyst to provide technical support throughout process mining projects. The role focuses on data preparation, event-log development, process mining configuration, data validation, troubleshooting, and analytical support. The successful candidate must understand process and material flows, particularly within warehouse, transportation, manufacturing, or supply chain environments. They will work closely with process mining consultants, data engineers, project managers, and client teams to ensure that the required data, process logic, KPIs, and dashboards are correctly developed and validated. The role may contribute to identifying process issues and improvement opportunities, but developing business recommendations is not the primary responsibility. Key Responsibilities Project Collaboration and Delivery Work collaboratively as an active member of multidisciplinary project teams. Support process mining projects from data discovery through delivery and handover. Participate in project meetings, workshops, working sessions, and client reviews. Provide regular updates on progress, risks, dependencies, and open technical topics. Process Understanding and Requirements Understand and document operational processes and material flows. Translate business and process requirements into technical data requirements. Identify process objects, activities, timestamps, attributes, and relationships. Support data mapping between source systems and the process mining platform. Data Preparation and Process Models Extract, clean, transform, and prepare data from WMS, TMS, ERP, MES, YMS, and other systems. Build and maintain event logs and process mining data models. Validate data, process logic, calculations, and analytical outputs. Investigate data-quality issues, missing events, inconsistent master data, and unexpected results. Process Mining Analysis and Insights Configure process mining analyses, KPIs, dashboards, filters, and process views. Contribute to the identification of process deviations, bottlenecks, and improvement opportunities when required. Support the preparation of project deliverables, demonstrations, and client presentations. Testing and Technical Troubleshooting Troubleshoot technical issues and coordinate resolution with the project team, IT teams, and platform specialists. Prepare test cases and support system testing and user acceptance testing. Assist with validating system functionality, data connections, and analytical outputs. Documentation and Knowledge Management Maintain technical documentation, data dictionaries, assumptions logs, and configuration records. Document data sources, transformations, process logic, testing results, and relevant project decisions. Qualifications Bachelor's degree in Industrial Engineering, Supply Chain, Data Analytics, Information Systems, Computer Science, or a related field 2-3 years of experience in data analysis, business intelligence, process mining, systems analysis, or technical consulting Strong understanding of process flows and material flows Experience working with transactional or operational data Practical experience with SQL and data preparation Strong attention to detail and ability to validate complex data relationships Ability to understand system transactions and connect them to real operational activities Strong troubleshooting and problem-solving skills Good written and verbal communication skills Ability to work effectively with both technical and business stakeholders Technical Skills Strong SQL skills, including joins, aggregations, window functions, and data-quality checks Understanding of data modeling, relational databases, and ETL/ELT concepts Strong Excel skills for data analysis, validation, and reconciliation Experience working with transactional and operational data Ability to understand data structures and connect system transactions to operational and material flows Experience with PQL, particularly when working with Celonis, is preferred Familiarity with process-mining platforms such as Celonis, SAP Signavio Process Intelligence, UiPath Process Mining, IBM Process Mining, or Apromore is preferred; experience with one or more platforms is sufficient Experience with Power BI or Tableau is preferred Familiarity with AI, machine learning, or advanced analytics in process-mining work-such as anomaly detection, root-cause analysis, or predictive insights-is a plus Exposure to APIs, cloud platforms, or data lakes is an asset Core Competencies Understanding of operational and material flows Technical data analysis Data quality and validation Structured troubleshooting Attention to detail Documentation and organization Collaboration and communication Ability to learn new systems and technologies Reliability and ownership Typical Deliverables Data requirements and source-to-target mappings Data dictionaries and process-flow documentation Event logs and process mining data models KPI calculations and technical definitions Dashboards and analytical views Data-quality assessments Test scripts and validation results Technical documentation and configuration records Support materials for workshops and client presentations Why Join Miebach? Flexible work hours & hybrid/remote options Competitive compensation + performance-based bonuses Comprehensive health benefits (medical, dental, vision) Career development programs & international training Flexible PTO, generous parental leave, and paid holidays 401(k) contributions & financial wellness programs PI8211be5-
Analytics Solution Architect
FM Johnston, Rhode Island
Job Description: Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection. Schedule & Location Employment Type: Full-time, exempt (salaried). This role can be based out of our Norwood, MA or Johnston, RI office, with an in-office schedule of 2 days per week and flexibility to work remotely 3 days per week, dependent on business needs. Relocation assistance is not offered for this position. Job Summary FM is seeking an experienced Analytics Solution Architect to lead the design and delivery of enterprise analytics, AI, and data-driven solutions. In this role, you will work across modern data, cloud, and application platforms to build scalable, secure, and production-ready solutions that enable advanced analytics, machine learning, business intelligence, and operational decision-making. You will partner closely with business stakeholders, product owners, data scientists, engineers, and platform teams to translate business needs into technical solutions. This role requires a blend of solution architecture, analytics architecture, software engineering, cloud technologies, and AI enablement, with a focus on delivering solutions that are reliable, maintainable, and aligned with long-term business objectives. The ideal candidate combines strong architecture and engineering expertise with the ability to lead through collaboration. You will help define how data, analytics, applications, and AI capabilities are designed, integrated, deployed, governed, and supported across the enterprise while providing technical leadership on strategic initiatives. Responsibilities Lead the architecture and delivery of data, AI and business solutions by designing scalable applications, data and analytics platforms, integration frameworks, and cloud-based solutions. Partner with business stakeholders, product owners, data scientists and engineering teams to translate business needs into technical solutions, define architecture roadmaps, and drive the successful delivery of strategic initiatives. Design and operationalize AI and machine learning solutions by enabling the transition of analytical models from development into secure, scalable, and production-ready environments while ensuring reliability, maintainability, and long-term supportability. Establish architecture standards and governance to ensure scalable, secure, reliable, and maintainable solutions across data, application, and cloud platforms. Evaluate emerging technologies, architecture patterns, and AI capabilities to drive innovation, platform modernization, and improved business outcomes. Provide technical leadership by mentoring teammates, advising stakeholders, and promoting best practices in solution architecture, application development, data and AI platforms, and technology delivery. Qualifications: Minimum of 7 years of experience in Solution Architecture or related technical leadership roles, with experience delivering data, analytics, AI, and cloud-based solutions; 10+ years preferred. Solution Architecture: Experience designing and delivering scalable applications, data and analytics platforms, cloud-native solutions, and integration architectures in an enterprise environment. Advanced Analytics Enablement: Experience partnering with data science teams to design, deploy, and operationalize machine learning and AI solutions in production environments. Technical Expertise: Strong understanding of modern software development practices, cloud and data platforms, CI/CD, security, and operational support. Experience with Python, machine learning concepts, and operationalizing analytical models preferred. Effective communication: Ability to translate complex technical concepts into clear recommendations for business, technical, and senior stakeholder audiences through strong written, verbal, and interpersonal communication. Decision making: Demonstrated ability to evaluate priorities, assess return on investment, resolve obstacles, and make sound architecture recommendations that support business outcomes and enterprise standards. Collaboration and teamwork: Proven ability to influence cross-functional teams, mentor technical staff, build strong stakeholder relationships, and drive successful delivery of strategic initiatives. Leadership mindset: Self-directed, customer-focused professional with strong problem-solving skills and a commitment to delivering high-quality scalable Analytics and AI solutions. Education and Certifications Bachelor's degree in computer science, Information Technology, Data Analytics, Data Science, Engineering, or a related field; equivalent experience considered. Master's degree in information technology, analytics, data science, or related discipline preferred. The hiring range for this position is $121,000 - $198,000 a year. The final salary offer will vary based on geographic location, individual education, skills, and experience. The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, medical, dental and vision insurance, life and disability insurance, well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, and time off, including vacation and sick time. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.
10/02/2026
Full time
Job Description: Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection. Schedule & Location Employment Type: Full-time, exempt (salaried). This role can be based out of our Norwood, MA or Johnston, RI office, with an in-office schedule of 2 days per week and flexibility to work remotely 3 days per week, dependent on business needs. Relocation assistance is not offered for this position. Job Summary FM is seeking an experienced Analytics Solution Architect to lead the design and delivery of enterprise analytics, AI, and data-driven solutions. In this role, you will work across modern data, cloud, and application platforms to build scalable, secure, and production-ready solutions that enable advanced analytics, machine learning, business intelligence, and operational decision-making. You will partner closely with business stakeholders, product owners, data scientists, engineers, and platform teams to translate business needs into technical solutions. This role requires a blend of solution architecture, analytics architecture, software engineering, cloud technologies, and AI enablement, with a focus on delivering solutions that are reliable, maintainable, and aligned with long-term business objectives. The ideal candidate combines strong architecture and engineering expertise with the ability to lead through collaboration. You will help define how data, analytics, applications, and AI capabilities are designed, integrated, deployed, governed, and supported across the enterprise while providing technical leadership on strategic initiatives. Responsibilities Lead the architecture and delivery of data, AI and business solutions by designing scalable applications, data and analytics platforms, integration frameworks, and cloud-based solutions. Partner with business stakeholders, product owners, data scientists and engineering teams to translate business needs into technical solutions, define architecture roadmaps, and drive the successful delivery of strategic initiatives. Design and operationalize AI and machine learning solutions by enabling the transition of analytical models from development into secure, scalable, and production-ready environments while ensuring reliability, maintainability, and long-term supportability. Establish architecture standards and governance to ensure scalable, secure, reliable, and maintainable solutions across data, application, and cloud platforms. Evaluate emerging technologies, architecture patterns, and AI capabilities to drive innovation, platform modernization, and improved business outcomes. Provide technical leadership by mentoring teammates, advising stakeholders, and promoting best practices in solution architecture, application development, data and AI platforms, and technology delivery. Qualifications: Minimum of 7 years of experience in Solution Architecture or related technical leadership roles, with experience delivering data, analytics, AI, and cloud-based solutions; 10+ years preferred. Solution Architecture: Experience designing and delivering scalable applications, data and analytics platforms, cloud-native solutions, and integration architectures in an enterprise environment. Advanced Analytics Enablement: Experience partnering with data science teams to design, deploy, and operationalize machine learning and AI solutions in production environments. Technical Expertise: Strong understanding of modern software development practices, cloud and data platforms, CI/CD, security, and operational support. Experience with Python, machine learning concepts, and operationalizing analytical models preferred. Effective communication: Ability to translate complex technical concepts into clear recommendations for business, technical, and senior stakeholder audiences through strong written, verbal, and interpersonal communication. Decision making: Demonstrated ability to evaluate priorities, assess return on investment, resolve obstacles, and make sound architecture recommendations that support business outcomes and enterprise standards. Collaboration and teamwork: Proven ability to influence cross-functional teams, mentor technical staff, build strong stakeholder relationships, and drive successful delivery of strategic initiatives. Leadership mindset: Self-directed, customer-focused professional with strong problem-solving skills and a commitment to delivering high-quality scalable Analytics and AI solutions. Education and Certifications Bachelor's degree in computer science, Information Technology, Data Analytics, Data Science, Engineering, or a related field; equivalent experience considered. Master's degree in information technology, analytics, data science, or related discipline preferred. The hiring range for this position is $121,000 - $198,000 a year. The final salary offer will vary based on geographic location, individual education, skills, and experience. The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, medical, dental and vision insurance, life and disability insurance, well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, and time off, including vacation and sick time. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.
Senior Internal Audit
Amalgamated Bank of NY New York, New York
Job Description Job Description Purpose of Position: The Senior Auditor (VP) is responsible for independently leading and executing risk-based internal audit assignments across operational, financial, regulatory compliance, information technology (IT), information systems (IS), cybersecurity, and integrated audit areas. The role performs audit planning, risk assessment, control evaluation, testing, documentation, and reporting with minimal supervision while serving as a trusted advisor to management on risk management, governance, regulatory compliance, technology controls, and process improvement opportunities. This position also plays a key role in leveraging data analytics and technology-enabled auditing techniques, supporting Audit Committee reporting, coordinating regulatory requests, and providing expertise related to IT governance, information security, cybersecurity, system implementations, and automated controls. This is an individual contributor role and does not have direct people management responsibilities. Essential Job Functions: Applies knowledge of banking operations, technology environments, information systems, cybersecurity risks, and regulatory requirements to develop and maintain risk assessments and contribute to the annual audit planning process. Obtains and documents an understanding of business processes, technology platforms, system interfaces, data flows, and supporting controls to identify and evaluate risks and the effectiveness of related internal controls. Develops risk and control matrices (RCMs), audit programs, testing strategies, and audit procedures for operational, financial, compliance, IT, IS, cybersecurity, and integrated audits with minimal supervision. Performs operational, financial, compliance, information technology, cybersecurity, and substantive testing procedures for internal audits, regulatory examinations, external audit support, and Sarbanes-Oxley (SOX) compliance activities. Evaluates the design and operating effectiveness of key controls, including automated controls, application controls, IT general controls (ITGCs), information security controls, cybersecurity controls, and data governance controls. Assesses technology-related risks involving infrastructure, cloud services, cybersecurity, third-party providers, system implementations, logical access, user provisioning, change management, data protection, and business continuity. Partners with business and technology stakeholders obtain audit evidence, conduct interviews, and evaluate processes and control environments. Ensures audit assignments are appropriately documented, accurate, complete, and completed within budget and established timelines. Prepares clear, concise, and well-supported audit reports, issue summaries, and other written communications with minimal supervision. Resolves review notes, management inquiries, and audit-related requests promptly and professionally. Serves as a department resource on data analytics, continuous monitoring, technology-enabled auditing, artificial intelligence (AI) applications, and audit automation techniques. Utilizes data analytics tools and techniques to identify risk indicators, analyze large data populations, improve audit efficiency, and enhance audit coverage. Maintains effective working relationships with Internal Audit Management, business line management, technology teams, external auditors, regulators, and other stakeholders. Provides timely communication to Internal Audit Management regarding audit progress, emerging risks, control deficiencies, cybersecurity concerns, and significant issues identified during audits. Keeps current on banking regulations, auditing standards, information technology trends, cybersecurity risks, emerging technologies, and industry best practices. Maintains continuing professional education and relevant certifications. Maintains appropriate levels of confidentiality and professionalism in handling sensitive Bank information. Performs other duties and special projects as assigned Education and Experience: Bachelor's degree in accounting, Finance, Information Systems, Computer Science, Cybersecurity, Business Administration, or a related field. Minimum 3-5 years of experience in internal audit, external audit, public accounting, IT audit, information security audit, risk management, regulatory compliance, or financial services auditing, preferably within the banking industry. Experience conducting operational, compliance, financial, IT, information systems, cybersecurity, or integrated audits. Experience evaluating IT General Controls (ITGCs), application controls, automated controls, interfaces, system implementations, third-party/vendor risks, and information security controls. Knowledge & Skills . Strong knowledge of internal auditing principles, practices, standards, and methodologies. Working knowledge of banking operations, products, services, and regulatory requirements. Strong understanding of risk assessment methodologies and internal control frameworks. Knowledge of IIA Global Internal Audit Standards. Knowledge of the Sarbanes-Oxley Act (SOX) and related control requirements. Good understanding of COSO 2013 Internal Control Framework requirements. Understanding of IT governance, information security, cybersecurity, data governance, cloud computing, and technology risk management concepts. Knowledge of industry control frameworks and standards such as NIST Cybersecurity Framework, COBIT, FFIEC guidance, ISO 27001, and related regulatory expectations is preferred. Strong analytical, problem-solving, critical-thinking, and investigative skills. Strong written and verbal communication skills with the ability to communicate effectively with senior management and technical personnel. Strong project management, organization, and time management skills. Ability to manage multiple assignments, prioritize competing deadlines, and work independently. Ability to positively interface and work well with all levels of staff and management (auditees and own department) Working knowledge of relevant computer programs, i.e. Microsoft Access, Word, Excel, core banking system and query Ability to handle bank and client information and sensitive matters professionally and confidentially Preferred Certifications One or more of the following certifications, or progress toward obtaining them, is preferred: Certified Internal Auditor (CIA) Certified Public Accountant (CPA) Certified Information Systems Auditor (CISA) Certified Information Security Manager (CISM) Certified in Risk and Information Systems Control (CRISC) Certified Regulatory Compliance Manager (CRCM) Certified Financial Services Auditor (CFSA) Certified Bank Auditor (CBA) Certified Community Bank Internal Auditor (CCBIA) Certified Trust & Financial Advisor (CTFA) Certified Fiduciary & Investment Risk Specialist (CFIRS) Our job titles may span more than one career level. The starting base salary for this role is between $100,000.00 - $120,000.00. The actual base pay is dependent upon many factors, such as: training, transferrable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. Amalgamated Bank is an Equal Opportunity and Affirmative Action Employer, Minorities / Females / Individuals with Disability / Veterans. AmeriCorps, Peace Corps and other national service alumni are encouraged to apply. View our Pay Transparency Statement. Submission of a resume or any information regarding your qualifications does not constitute a promise or offer of employment. At Amalgamated Bank, we consider an applicant to be someone who has interviewed at least once, in person, with the hiring manager. Amalgamated Bank does not sponsor applicants for work visas. Hybrid Work Model Effective February 18, 2025, employees in office-based positions will be working a Hybrid work schedule consisting of three days or more, on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence. This Hybrid work model does not apply to, and daily in-person attendance is required for, the contact center, branch service roles, and general services where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance does not apply to roles that have been designated as "remote".
09/29/2026
Full time
Job Description Job Description Purpose of Position: The Senior Auditor (VP) is responsible for independently leading and executing risk-based internal audit assignments across operational, financial, regulatory compliance, information technology (IT), information systems (IS), cybersecurity, and integrated audit areas. The role performs audit planning, risk assessment, control evaluation, testing, documentation, and reporting with minimal supervision while serving as a trusted advisor to management on risk management, governance, regulatory compliance, technology controls, and process improvement opportunities. This position also plays a key role in leveraging data analytics and technology-enabled auditing techniques, supporting Audit Committee reporting, coordinating regulatory requests, and providing expertise related to IT governance, information security, cybersecurity, system implementations, and automated controls. This is an individual contributor role and does not have direct people management responsibilities. Essential Job Functions: Applies knowledge of banking operations, technology environments, information systems, cybersecurity risks, and regulatory requirements to develop and maintain risk assessments and contribute to the annual audit planning process. Obtains and documents an understanding of business processes, technology platforms, system interfaces, data flows, and supporting controls to identify and evaluate risks and the effectiveness of related internal controls. Develops risk and control matrices (RCMs), audit programs, testing strategies, and audit procedures for operational, financial, compliance, IT, IS, cybersecurity, and integrated audits with minimal supervision. Performs operational, financial, compliance, information technology, cybersecurity, and substantive testing procedures for internal audits, regulatory examinations, external audit support, and Sarbanes-Oxley (SOX) compliance activities. Evaluates the design and operating effectiveness of key controls, including automated controls, application controls, IT general controls (ITGCs), information security controls, cybersecurity controls, and data governance controls. Assesses technology-related risks involving infrastructure, cloud services, cybersecurity, third-party providers, system implementations, logical access, user provisioning, change management, data protection, and business continuity. Partners with business and technology stakeholders obtain audit evidence, conduct interviews, and evaluate processes and control environments. Ensures audit assignments are appropriately documented, accurate, complete, and completed within budget and established timelines. Prepares clear, concise, and well-supported audit reports, issue summaries, and other written communications with minimal supervision. Resolves review notes, management inquiries, and audit-related requests promptly and professionally. Serves as a department resource on data analytics, continuous monitoring, technology-enabled auditing, artificial intelligence (AI) applications, and audit automation techniques. Utilizes data analytics tools and techniques to identify risk indicators, analyze large data populations, improve audit efficiency, and enhance audit coverage. Maintains effective working relationships with Internal Audit Management, business line management, technology teams, external auditors, regulators, and other stakeholders. Provides timely communication to Internal Audit Management regarding audit progress, emerging risks, control deficiencies, cybersecurity concerns, and significant issues identified during audits. Keeps current on banking regulations, auditing standards, information technology trends, cybersecurity risks, emerging technologies, and industry best practices. Maintains continuing professional education and relevant certifications. Maintains appropriate levels of confidentiality and professionalism in handling sensitive Bank information. Performs other duties and special projects as assigned Education and Experience: Bachelor's degree in accounting, Finance, Information Systems, Computer Science, Cybersecurity, Business Administration, or a related field. Minimum 3-5 years of experience in internal audit, external audit, public accounting, IT audit, information security audit, risk management, regulatory compliance, or financial services auditing, preferably within the banking industry. Experience conducting operational, compliance, financial, IT, information systems, cybersecurity, or integrated audits. Experience evaluating IT General Controls (ITGCs), application controls, automated controls, interfaces, system implementations, third-party/vendor risks, and information security controls. Knowledge & Skills . Strong knowledge of internal auditing principles, practices, standards, and methodologies. Working knowledge of banking operations, products, services, and regulatory requirements. Strong understanding of risk assessment methodologies and internal control frameworks. Knowledge of IIA Global Internal Audit Standards. Knowledge of the Sarbanes-Oxley Act (SOX) and related control requirements. Good understanding of COSO 2013 Internal Control Framework requirements. Understanding of IT governance, information security, cybersecurity, data governance, cloud computing, and technology risk management concepts. Knowledge of industry control frameworks and standards such as NIST Cybersecurity Framework, COBIT, FFIEC guidance, ISO 27001, and related regulatory expectations is preferred. Strong analytical, problem-solving, critical-thinking, and investigative skills. Strong written and verbal communication skills with the ability to communicate effectively with senior management and technical personnel. Strong project management, organization, and time management skills. Ability to manage multiple assignments, prioritize competing deadlines, and work independently. Ability to positively interface and work well with all levels of staff and management (auditees and own department) Working knowledge of relevant computer programs, i.e. Microsoft Access, Word, Excel, core banking system and query Ability to handle bank and client information and sensitive matters professionally and confidentially Preferred Certifications One or more of the following certifications, or progress toward obtaining them, is preferred: Certified Internal Auditor (CIA) Certified Public Accountant (CPA) Certified Information Systems Auditor (CISA) Certified Information Security Manager (CISM) Certified in Risk and Information Systems Control (CRISC) Certified Regulatory Compliance Manager (CRCM) Certified Financial Services Auditor (CFSA) Certified Bank Auditor (CBA) Certified Community Bank Internal Auditor (CCBIA) Certified Trust & Financial Advisor (CTFA) Certified Fiduciary & Investment Risk Specialist (CFIRS) Our job titles may span more than one career level. The starting base salary for this role is between $100,000.00 - $120,000.00. The actual base pay is dependent upon many factors, such as: training, transferrable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. Amalgamated Bank is an Equal Opportunity and Affirmative Action Employer, Minorities / Females / Individuals with Disability / Veterans. AmeriCorps, Peace Corps and other national service alumni are encouraged to apply. View our Pay Transparency Statement. Submission of a resume or any information regarding your qualifications does not constitute a promise or offer of employment. At Amalgamated Bank, we consider an applicant to be someone who has interviewed at least once, in person, with the hiring manager. Amalgamated Bank does not sponsor applicants for work visas. Hybrid Work Model Effective February 18, 2025, employees in office-based positions will be working a Hybrid work schedule consisting of three days or more, on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence. This Hybrid work model does not apply to, and daily in-person attendance is required for, the contact center, branch service roles, and general services where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance does not apply to roles that have been designated as "remote".
Principal Artificial Intelligence/Machine Learning (AI/ML) Engineer
GliaCell Technologies Annapolis Junction, Maryland
Job Description Job Description An active or rein-statable TS/SCI with Polygraph security clearance is REQUIRED. Please do not apply if you currently do not possess this level of clearance. Are you an Principal AI/ML Engineer who is ready for a new challenge that will launch your career to the next level? Tired of being treated like a company drone? Tired of promised adventures during the hiring phase, then dropped off on a remote contract and never seen or heard from the mothership again? Our engineers were certainly tired of the same. At GliaCell our slogan is "We make It happen". We will immerse you in the latest technologies. We will develop and support your own personalized training program to continue your individual growth. We will provide you with work that matters with our mission focused customers, and surround you with a family of brilliant engineers. Culture isn't something you need to talk about if it just exists. If this sounds interesting to you, then we'd like to have a discussion regarding your next adventure! If you want to be a drone, this isn't the place for you. We Make It Happen! GliaCell Technologies focuses on Software & System Engineering in Enterprise and Cyber Security solution spaces. We excel at delivering stable and reliable software solutions using Agile Software Development principles. These provide us the capability to deliver a quick turn-around using interactive applications and the integration of industry standard software stacks. GliaCell's Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. We also provide customer solutions in the areas of CND, CNE, and CNO by providing our customers with assessments and solutions in Threat Mitigation, Vulnerability Exposure, Penetration Testing, Threat Hunting, and Preventing Advanced Persistent Threat. We Offer: Long term job security Competitive salaries & bonus opportunities Challenging work you are passionate about Ability to work with some amazingly talented people Job Description: GliaCell is seeking a Principal AI/ML Engineer on one of our subcontracts. This is a full-time position offering the opportunity to support a U.S. Government customer. The mission is to provide technical expertise that assists in sustaining critical mission-related software and systems to a large government contract. Key Requirements: To be considered for this position you must have the following: U.S. Citizenship 10+ years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required. A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university. 7 additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree. Demonstrated abilities in software engineering and AI/ML model test and evaluation. Works well independently as well as on a team. Strong communication skills. Key Skills: You will design, create, test, and productize AI/ML algorithms to solve business challenges. The AI/ML models you create should be capable of learning and making predictions as defined by the business logic developed to meet customer requirements. Should be proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation. Needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance. Need an understanding of training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback, the AI/ML Engineer designs and creates scalable solutions for optimal performance. You may be responsible for leading geographically diverse teams and will often serve as a primary POC for AI-related matters, so must have exceptional analytical, problem-solving and communication skills. Expert knowledge of multiple programming languages, e.g. Python, Java, C, R, a plus. Location: Annapolis Junction, MD / Partial Telework (up to 16 hours per week) may be available for this position based on mission needs/available tasking at the discretion of leadership, after the individual has become fully acclimated to the duties and responsibilities of the position and has completed the necessary telework training. Salary Range: The salary range for this full-time position is $200,000 to $280,000. Our salary ranges are determined by position, level, skills, professional experience, relevant education and certifications. Your recruiter can share more about the specific salary range for your preferred position during the hiring process. Benefits: CareFirst Medical Coverage for Employee and Dependents Guardian Dental and Vision Coverage for Employee and Dependents Up to 25 Days of Paid Time Off Up to 40 hours of PTO Carryover 11 Federal Government Holidays Work From Home Opportunities 401K Company Contribution, Fully Vested Day 1 Discretionary, Certification, and Sign-On Bonus Potential Employee Referral Bonus Program Annual Professional Development 100% Premium Covered for Life & Disability Insurances Additional Voluntary Life Insurance Coverage Available Employee Assistance Program Travel Protection Program Financial Planning Assistance Bereavement and Jury Duty Leave Monthly Team and Family Events Technology Budget Global Entry Annual Swag Budget Learn more about GliaCell Technologies: To apply for this position, respond to this job posting and attach an updated resume for us to review. GliaCell Technologies, LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Powered by JazzHR cDeBOm5dlB
09/28/2026
Full time
Job Description Job Description An active or rein-statable TS/SCI with Polygraph security clearance is REQUIRED. Please do not apply if you currently do not possess this level of clearance. Are you an Principal AI/ML Engineer who is ready for a new challenge that will launch your career to the next level? Tired of being treated like a company drone? Tired of promised adventures during the hiring phase, then dropped off on a remote contract and never seen or heard from the mothership again? Our engineers were certainly tired of the same. At GliaCell our slogan is "We make It happen". We will immerse you in the latest technologies. We will develop and support your own personalized training program to continue your individual growth. We will provide you with work that matters with our mission focused customers, and surround you with a family of brilliant engineers. Culture isn't something you need to talk about if it just exists. If this sounds interesting to you, then we'd like to have a discussion regarding your next adventure! If you want to be a drone, this isn't the place for you. We Make It Happen! GliaCell Technologies focuses on Software & System Engineering in Enterprise and Cyber Security solution spaces. We excel at delivering stable and reliable software solutions using Agile Software Development principles. These provide us the capability to deliver a quick turn-around using interactive applications and the integration of industry standard software stacks. GliaCell's Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. We also provide customer solutions in the areas of CND, CNE, and CNO by providing our customers with assessments and solutions in Threat Mitigation, Vulnerability Exposure, Penetration Testing, Threat Hunting, and Preventing Advanced Persistent Threat. We Offer: Long term job security Competitive salaries & bonus opportunities Challenging work you are passionate about Ability to work with some amazingly talented people Job Description: GliaCell is seeking a Principal AI/ML Engineer on one of our subcontracts. This is a full-time position offering the opportunity to support a U.S. Government customer. The mission is to provide technical expertise that assists in sustaining critical mission-related software and systems to a large government contract. Key Requirements: To be considered for this position you must have the following: U.S. Citizenship 10+ years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required. A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university. 7 additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree. Demonstrated abilities in software engineering and AI/ML model test and evaluation. Works well independently as well as on a team. Strong communication skills. Key Skills: You will design, create, test, and productize AI/ML algorithms to solve business challenges. The AI/ML models you create should be capable of learning and making predictions as defined by the business logic developed to meet customer requirements. Should be proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation. Needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance. Need an understanding of training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback, the AI/ML Engineer designs and creates scalable solutions for optimal performance. You may be responsible for leading geographically diverse teams and will often serve as a primary POC for AI-related matters, so must have exceptional analytical, problem-solving and communication skills. Expert knowledge of multiple programming languages, e.g. Python, Java, C, R, a plus. Location: Annapolis Junction, MD / Partial Telework (up to 16 hours per week) may be available for this position based on mission needs/available tasking at the discretion of leadership, after the individual has become fully acclimated to the duties and responsibilities of the position and has completed the necessary telework training. Salary Range: The salary range for this full-time position is $200,000 to $280,000. Our salary ranges are determined by position, level, skills, professional experience, relevant education and certifications. Your recruiter can share more about the specific salary range for your preferred position during the hiring process. Benefits: CareFirst Medical Coverage for Employee and Dependents Guardian Dental and Vision Coverage for Employee and Dependents Up to 25 Days of Paid Time Off Up to 40 hours of PTO Carryover 11 Federal Government Holidays Work From Home Opportunities 401K Company Contribution, Fully Vested Day 1 Discretionary, Certification, and Sign-On Bonus Potential Employee Referral Bonus Program Annual Professional Development 100% Premium Covered for Life & Disability Insurances Additional Voluntary Life Insurance Coverage Available Employee Assistance Program Travel Protection Program Financial Planning Assistance Bereavement and Jury Duty Leave Monthly Team and Family Events Technology Budget Global Entry Annual Swag Budget Learn more about GliaCell Technologies: To apply for this position, respond to this job posting and attach an updated resume for us to review. GliaCell Technologies, LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Powered by JazzHR cDeBOm5dlB
Consultant, Data Analytics
Beghou Consulting Rockville, Maryland
Job Description Job Description Beghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices. Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes. Beghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices. Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes. This role supports the conceptualization, execution, and integration of data-driven projects for commercial efforts in the pharmaceutical and life sciences industries. You will drive innovation and creative solutions within various work streams and provide thought leadership. You will lead project teams and play a pivotal role in guiding internal stakeholders toward project success. We'll Trust you to: Work with cross-functional project teams in the design and development of high-quality deliverables for clients. Collaborate with leadership to define project scope, approach, and development strategies. Contribute to Beghou's internal data warehouse build. Demonstrate knowledge of data platform components (warehouse, monitoring, etc.) and data engineering (ETL design, schema design, etc.) and CI/CD best practices. Analyze data, synthesize findings, and develop actionable insights, communicating results to both internal and external teams. Work on projects, handling client communications, meeting facilitation, and timelines, serving as a primary point of contact with minimal oversight. Develop and optimize data processes, utilizing coding where necessary to facilitate efficient data handling and reporting. Coordinate with global and diverse teams to ensure seamless project execution. Contribute to internal firm initiatives to drive organizational growth. You'll Need to Have: Bachelor's or advanced degree with at least 2+ years of relevant professional experience, preferably in the pharmaceutical or life sciences industry. Experience with one or more additional UI-based ETL tools (e.g., Azure Data Factory, Alteryx, Informatica, SnapLogic, Boomi, Prophecy), preferred. Experience with relational database technologies, such as Databricks, Snowflake, PostgreSQL, Oracle, and MySQL. Strong proficiency in Microsoft Office tools (Word, PowerPoint), with advanced expertise in Excel. Knowledge of coding languages (e.g., Python, PySpark, SAS, VBA, etc.) and experience with data visualization software (e.g., Tableau, Power BI) is highly preferred. Experience with Claude Code or ChatGPT Codex is preferred. Excellent analytical and quantitative skills, with a proven ability to solve complex problems. Exceptional communication skills, both written and verbal. Demonstrated organizational, time management, and project management skills, with the ability to lead teams and manage multiple projects simultaneously. Strong ability to collaborate, adapt quickly, and work effectively in a fast-paced environment. Familiarity with industry best practices in data analytics within the pharmaceutical sector. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Beghou, it is not typical for an individual to be hired at or near the top of the range for their role, and compensation decisions depend on the facts and circumstances of each case. A reasonable estimate of the current range is $90,000 to $110,000. We are currently unable to consider candidates who require, or will require in the future, sponsorship for work authorization . Applicants must be authorized to work in the US on a permanent and ongoing basis without the need for current or future employer-sponsored work authorization. At Beghou, you'll join a highly collaborative, values-driven team where technical excellence, analytical rigor, and personal growth converge. Whether you're passionate about AI innovation, building commercialization strategies, or shaping the next generation of data-first solutions in life sciences, this is a place to make an impact! Compensation and Benefits: Beghou Consulting offers a competitive compensation package and a full complement of benefits, including the following: Health & Wellness We provide comprehensive medical, dental, and vision insurance, as well as life & AD&D coverage, disability insurance, and a Lifestyle Wellness Account to help you feel your best. Work-Life Balance Our generous PTO, company holidays, and paid parental & bonding leave help you recharge and be present where it matters most. With a flexible hybrid work policy, you'll enjoy the balance of in-person collaboration and remote flexibility. Financial Wellness We invest in your future with a 401(k) and employer match, tax-free commuter, health, and childcare accounts, and performance bonuses. You'll also receive a monthly phone stipend and access to an employee discount program. Growth & Giving Back Through mentorship, training, and tuition reimbursement, we help you grow your career while supporting causes you care about with a charitable donation match. Culture & Values Collaboration, innovation, and inclusion define us. Here, you'll join a community that values your ideas and celebrates your impact. Equal Opportunity Employer We are committed to fostering an inclusive company culture that respects and promotes diverse backgrounds and points of view. We seek candidates who will add to our culture and support the company's vision of a diverse, equitable, inclusive, and collaborative workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. We are proud to be an equal-opportunity employer. If you are excited about this role but do not meet 100% of the qualifications listed, we still encourage you to apply. You may be just the right candidate for this or other roles. Must be legally authorized to work in the United States. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
09/28/2026
Full time
Job Description Job Description Beghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices. Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes. Beghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices. Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes. This role supports the conceptualization, execution, and integration of data-driven projects for commercial efforts in the pharmaceutical and life sciences industries. You will drive innovation and creative solutions within various work streams and provide thought leadership. You will lead project teams and play a pivotal role in guiding internal stakeholders toward project success. We'll Trust you to: Work with cross-functional project teams in the design and development of high-quality deliverables for clients. Collaborate with leadership to define project scope, approach, and development strategies. Contribute to Beghou's internal data warehouse build. Demonstrate knowledge of data platform components (warehouse, monitoring, etc.) and data engineering (ETL design, schema design, etc.) and CI/CD best practices. Analyze data, synthesize findings, and develop actionable insights, communicating results to both internal and external teams. Work on projects, handling client communications, meeting facilitation, and timelines, serving as a primary point of contact with minimal oversight. Develop and optimize data processes, utilizing coding where necessary to facilitate efficient data handling and reporting. Coordinate with global and diverse teams to ensure seamless project execution. Contribute to internal firm initiatives to drive organizational growth. You'll Need to Have: Bachelor's or advanced degree with at least 2+ years of relevant professional experience, preferably in the pharmaceutical or life sciences industry. Experience with one or more additional UI-based ETL tools (e.g., Azure Data Factory, Alteryx, Informatica, SnapLogic, Boomi, Prophecy), preferred. Experience with relational database technologies, such as Databricks, Snowflake, PostgreSQL, Oracle, and MySQL. Strong proficiency in Microsoft Office tools (Word, PowerPoint), with advanced expertise in Excel. Knowledge of coding languages (e.g., Python, PySpark, SAS, VBA, etc.) and experience with data visualization software (e.g., Tableau, Power BI) is highly preferred. Experience with Claude Code or ChatGPT Codex is preferred. Excellent analytical and quantitative skills, with a proven ability to solve complex problems. Exceptional communication skills, both written and verbal. Demonstrated organizational, time management, and project management skills, with the ability to lead teams and manage multiple projects simultaneously. Strong ability to collaborate, adapt quickly, and work effectively in a fast-paced environment. Familiarity with industry best practices in data analytics within the pharmaceutical sector. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Beghou, it is not typical for an individual to be hired at or near the top of the range for their role, and compensation decisions depend on the facts and circumstances of each case. A reasonable estimate of the current range is $90,000 to $110,000. We are currently unable to consider candidates who require, or will require in the future, sponsorship for work authorization . Applicants must be authorized to work in the US on a permanent and ongoing basis without the need for current or future employer-sponsored work authorization. At Beghou, you'll join a highly collaborative, values-driven team where technical excellence, analytical rigor, and personal growth converge. Whether you're passionate about AI innovation, building commercialization strategies, or shaping the next generation of data-first solutions in life sciences, this is a place to make an impact! Compensation and Benefits: Beghou Consulting offers a competitive compensation package and a full complement of benefits, including the following: Health & Wellness We provide comprehensive medical, dental, and vision insurance, as well as life & AD&D coverage, disability insurance, and a Lifestyle Wellness Account to help you feel your best. Work-Life Balance Our generous PTO, company holidays, and paid parental & bonding leave help you recharge and be present where it matters most. With a flexible hybrid work policy, you'll enjoy the balance of in-person collaboration and remote flexibility. Financial Wellness We invest in your future with a 401(k) and employer match, tax-free commuter, health, and childcare accounts, and performance bonuses. You'll also receive a monthly phone stipend and access to an employee discount program. Growth & Giving Back Through mentorship, training, and tuition reimbursement, we help you grow your career while supporting causes you care about with a charitable donation match. Culture & Values Collaboration, innovation, and inclusion define us. Here, you'll join a community that values your ideas and celebrates your impact. Equal Opportunity Employer We are committed to fostering an inclusive company culture that respects and promotes diverse backgrounds and points of view. We seek candidates who will add to our culture and support the company's vision of a diverse, equitable, inclusive, and collaborative workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. We are proud to be an equal-opportunity employer. If you are excited about this role but do not meet 100% of the qualifications listed, we still encourage you to apply. You may be just the right candidate for this or other roles. Must be legally authorized to work in the United States. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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