Amazon Advertising LLC
New York, New York
We are building something transformational - a greenfield, enterprise-grade data and insights platform that will redefine how automobile dealers, OEMs, and third-party partners engage with Amazon Autos. This is a foundational tech lead opportunity to architect and own the systems that power data-driven decision-making for thousands of dealers and partners across multiple marketplaces. Our seller and partner ecosystem - spanning dealer groups, OEMs, and 3P integrations - depends on real-time, actionable intelligence to optimize inventory, pricing, engagement, and sales performance. You will be the technical cornerstone of the platform that delivers this intelligence at scale. We are looking for a talented senior engineer with a tech lead mindset: someone who raises the bar on system design, drives architectural decisions across teams, and builds platforms that outlast any single feature. You will work at the intersection of data engineering, AI/ML, and product - owning the full lifecycle from architecture to production. What You Will Build - AI-powered data platforms that serve ML models and surface predictive insights to dealers and partners - Intelligent agents that democratize data access, enabling non-technical stakeholders to query and act on complex datasets - Next-generation pipelines that leverage AI agents to write, optimize, and validate code - accelerating development velocity while maintaining engineering rigor - This platform will process massive volumes of transactional, behavioral, and market data, transforming raw signals into insights that directly influence revenue streams. What Makes This Role Unique This is a rare greenfield opportunity to be the founding technical architect of a platform that will serve as the data backbone for Amazon Autos' seller and partner ecosystem. You won't just leverage AI tools - you'll build the next generation of AI-enabled data platforms, working at the forefront of AI-powered data engineering within a team that has already driven AI adoption to over 90% among its software builders. Key job responsibilities - Platform Architecture: Architect and own the end-to-end design of a full-stack data platform - from data ingestion and transformation pipelines to API delivery and front-end consumption layers. - Technical Standards: Define and enforce technical standards across the team, including design patterns, data modeling best practices, API contracts, reliability, and scalability principles. - Cross-Functional Leadership: Lead cross-functional technical initiatives, aligning engineering, product, data science, and partner teams around a unified data strategy. - AI-Powered Engineering: Build AI-powered data platforms that serve ML models and deploy intelligent agents that democratize data access for non-technical stakeholders. - Data Pipeline Design: Design and implement large-scale ETL/ELT pipelines using AWS-native and big data technologies, ensuring data freshness, accuracy, and lineage. - Partner API Strategy: Drive the API strategy for external partner integrations - enabling OEMs, dealer groups, and 3P systems to consume standardized, real-time data feeds. - Engineering Excellence: Lead design reviews, define code quality standards, own CI/CD pipelines, and champion automated testing and observability. - Mentorship: Mentor and grow engineers on the team - conducting design reviews, providing technical guidance, and elevating the overall engineering bar. - Business Translation: Partner with product and business stakeholders to translate ambiguous business problems into well-scoped, high-impact technical solutions. - Operational Excellence: Define SLAs, build monitoring and alerting, and lead incident response for production systems. A day in the life You start your morning reviewing a design proposal from a junior engineer - you provide structured feedback that sharpens the data model and catches a scalability risk before it reaches production. By midday, you're in a cross-team sync with the OEM integrations team, aligning on the API contract for a new real-time inventory feed. In the afternoon, you're deep in architecture work - designing the next generation of the dealer analytics pipeline that will reduce data latency from hours to minutes. You close the day reviewing a pull request and unblocking a teammate on a tricky ETL edge case. Every day, your decisions shape the platform that hundreds of dealers and partners rely on to run their business on Amazon. About the team We are transforming Amazon Autos' data infrastructure into a global, enterprise-grade data service. Our initiative builds a scalable API layer serving OEMs, dealer groups, and internal teams through standardized automated reports and real-time integrations. This role involves working with massive datasets and running analysis to understand customer behavior for Amazon Autos, collaborating with product managers, designers, and engineers to create automotive shopping experiences that delight customers. Our vision is to create automotive discovery and shopping experiences on Amazon that provide customers with greater convenience and selection. BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team - Experience with data modeling, warehousing and building ETL pipelines - Experience analyzing large datasets and translating them to actionable business insight PREFERRED QUALIFICATIONS - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Master's degree in computer science or equivalent - 5+ years of developing end-to-end analytics solutions, including system configuration, model building, data security, and reporting experience - Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc. - Experience in Redshift, or experience in Hive/Spark/Hbase/Yarn and experience in any Bigdata architecture - Experience in Kafka, or experience in any Bigdata architecture and experience in Redshift Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, NY, New York - 184 200.00 USD annually USA, VA, Arlington - 168 400.00 USD annually
We are building something transformational - a greenfield, enterprise-grade data and insights platform that will redefine how automobile dealers, OEMs, and third-party partners engage with Amazon Autos. This is a foundational tech lead opportunity to architect and own the systems that power data-driven decision-making for thousands of dealers and partners across multiple marketplaces. Our seller and partner ecosystem - spanning dealer groups, OEMs, and 3P integrations - depends on real-time, actionable intelligence to optimize inventory, pricing, engagement, and sales performance. You will be the technical cornerstone of the platform that delivers this intelligence at scale. We are looking for a talented senior engineer with a tech lead mindset: someone who raises the bar on system design, drives architectural decisions across teams, and builds platforms that outlast any single feature. You will work at the intersection of data engineering, AI/ML, and product - owning the full lifecycle from architecture to production. What You Will Build - AI-powered data platforms that serve ML models and surface predictive insights to dealers and partners - Intelligent agents that democratize data access, enabling non-technical stakeholders to query and act on complex datasets - Next-generation pipelines that leverage AI agents to write, optimize, and validate code - accelerating development velocity while maintaining engineering rigor - This platform will process massive volumes of transactional, behavioral, and market data, transforming raw signals into insights that directly influence revenue streams. What Makes This Role Unique This is a rare greenfield opportunity to be the founding technical architect of a platform that will serve as the data backbone for Amazon Autos' seller and partner ecosystem. You won't just leverage AI tools - you'll build the next generation of AI-enabled data platforms, working at the forefront of AI-powered data engineering within a team that has already driven AI adoption to over 90% among its software builders. Key job responsibilities - Platform Architecture: Architect and own the end-to-end design of a full-stack data platform - from data ingestion and transformation pipelines to API delivery and front-end consumption layers. - Technical Standards: Define and enforce technical standards across the team, including design patterns, data modeling best practices, API contracts, reliability, and scalability principles. - Cross-Functional Leadership: Lead cross-functional technical initiatives, aligning engineering, product, data science, and partner teams around a unified data strategy. - AI-Powered Engineering: Build AI-powered data platforms that serve ML models and deploy intelligent agents that democratize data access for non-technical stakeholders. - Data Pipeline Design: Design and implement large-scale ETL/ELT pipelines using AWS-native and big data technologies, ensuring data freshness, accuracy, and lineage. - Partner API Strategy: Drive the API strategy for external partner integrations - enabling OEMs, dealer groups, and 3P systems to consume standardized, real-time data feeds. - Engineering Excellence: Lead design reviews, define code quality standards, own CI/CD pipelines, and champion automated testing and observability. - Mentorship: Mentor and grow engineers on the team - conducting design reviews, providing technical guidance, and elevating the overall engineering bar. - Business Translation: Partner with product and business stakeholders to translate ambiguous business problems into well-scoped, high-impact technical solutions. - Operational Excellence: Define SLAs, build monitoring and alerting, and lead incident response for production systems. A day in the life You start your morning reviewing a design proposal from a junior engineer - you provide structured feedback that sharpens the data model and catches a scalability risk before it reaches production. By midday, you're in a cross-team sync with the OEM integrations team, aligning on the API contract for a new real-time inventory feed. In the afternoon, you're deep in architecture work - designing the next generation of the dealer analytics pipeline that will reduce data latency from hours to minutes. You close the day reviewing a pull request and unblocking a teammate on a tricky ETL edge case. Every day, your decisions shape the platform that hundreds of dealers and partners rely on to run their business on Amazon. About the team We are transforming Amazon Autos' data infrastructure into a global, enterprise-grade data service. Our initiative builds a scalable API layer serving OEMs, dealer groups, and internal teams through standardized automated reports and real-time integrations. This role involves working with massive datasets and running analysis to understand customer behavior for Amazon Autos, collaborating with product managers, designers, and engineers to create automotive shopping experiences that delight customers. Our vision is to create automotive discovery and shopping experiences on Amazon that provide customers with greater convenience and selection. BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team - Experience with data modeling, warehousing and building ETL pipelines - Experience analyzing large datasets and translating them to actionable business insight PREFERRED QUALIFICATIONS - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Master's degree in computer science or equivalent - 5+ years of developing end-to-end analytics solutions, including system configuration, model building, data security, and reporting experience - Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc. - Experience in Redshift, or experience in Hive/Spark/Hbase/Yarn and experience in any Bigdata architecture - Experience in Kafka, or experience in any Bigdata architecture and experience in Redshift Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, NY, New York - 184 200.00 USD annually USA, VA, Arlington - 168 400.00 USD annually
Placement Services USA, Inc.
Chicago, Illinois
A full-time Sr. Market Intelligence Analyst position is available immediately in the companys office in Chicago, Illinois and reporting to the Marketing & Operations Manager of Ehomie Chicago Inc. Reporting to the Marketing & Operations Manager, the Sr. Market Intelligence Analyst will have the following specific job responsibilities: 1) Lead market intelligence data collection and analysis to spot key trends in the real estate market and deliver insights that shape marketing strategy (20%); 2) Integrate company financials with external benchmarks and market indicators to assess performance, and provide evidence-based strategic guidance to improve profitability (10%); 3) Direct and supervise interns and junior employees to analyze pricing trends, leasing patterns, and competitor activity, and to translate findings into high-quality reports, dashboards, and visualizations that inform marketing strategy and operational planning (15%); 4) Deliver presentations to management with clear, data-backed, and measurable recommendations (10%); 5) Build and continuously improve customer-retention predictive models by consolidating high-quality data, monitoring forecasts in real time, and comparing predictions with actual outcomes to identify variances, uncover root causes, and implement solutions that boost accuracy (5%); 6) Develop and manage business intelligence tools and advanced predictive models for internal use (5%); 7) Develop, standardize, and continuously improve best practices for data collection, analysis, and statistical modeling to ensure accuracy and consistency (5%); 8) Develop and maintain an integrated customer and market intelligence database to track interactions between the business and customers (10%); 9) Collaborate with cross-functional teams to turn market and performance data into strategic marketing recommendations and plans (10%); 10) Study emerging technologies and trends in data analytics, evaluate their relevance to the business, and recommend practical adoption opportunities to improve insight quality and efficiency (5%); 11) Contribute to talent development and knowledge transfer by co-designing onboarding or training programs on analytics tools, BI systems, and market research methods (5%). Bachelors Degree in Marketing Analytics, Data Analytics, Management, or a closely related field plus two years of professional employment experience in providing business intelligence analysis services within the real estate industry. Required experience must include the following: (1) A minimum of two (2) years of professional employment experience in market intelligence data processing and analysis, using Excel, Power BI, Tableau, and Python; (2) A minimum of two (2) years of professional employment experience in conducting ongoing real estate rental market surveillance, including analysis of supply-demand conditions, rental rates, vacancy patterns, and broader market drivers to identify key trends and developments; (3) A minimum of two (2) years of professional employment experience in building predictive models using Excel; (4) A minimum of two (2) years of professional employment experience in preparing market intelligence reports and data visualizations to support marketing initiatives; (5) A minimum of two (2) years of professional employment experience in developing and maintaining internal databases using CRM systems, Excel, and Tableau, to support data analysis and reporting; (6) A minimum of two (2) years of professional employment experience in optimizing and streamlining CRM (Customer Relationship Management) systems; (7) Bachelors Degree in Marketing Analytics, Data Analytics, Management, or a closely related field level of knowledge in data modeling; (8) Bachelors Degree in Marketing Analytics, Data Analytics, Management, or a closely related field level of knowledge in managerial economics and macroeconomic theory; (9) Bachelors Degree in Marketing Analytics, Data Analytics, Management, or a closely related field level of knowledge in advertising strategy. Please copy and paste your resume in the email body (do not send attachments, we cannot open them) and email it to candidates at (link removed) with reference in the subject line. Thank you.
A full-time Sr. Market Intelligence Analyst position is available immediately in the companys office in Chicago, Illinois and reporting to the Marketing & Operations Manager of Ehomie Chicago Inc. Reporting to the Marketing & Operations Manager, the Sr. Market Intelligence Analyst will have the following specific job responsibilities: 1) Lead market intelligence data collection and analysis to spot key trends in the real estate market and deliver insights that shape marketing strategy (20%); 2) Integrate company financials with external benchmarks and market indicators to assess performance, and provide evidence-based strategic guidance to improve profitability (10%); 3) Direct and supervise interns and junior employees to analyze pricing trends, leasing patterns, and competitor activity, and to translate findings into high-quality reports, dashboards, and visualizations that inform marketing strategy and operational planning (15%); 4) Deliver presentations to management with clear, data-backed, and measurable recommendations (10%); 5) Build and continuously improve customer-retention predictive models by consolidating high-quality data, monitoring forecasts in real time, and comparing predictions with actual outcomes to identify variances, uncover root causes, and implement solutions that boost accuracy (5%); 6) Develop and manage business intelligence tools and advanced predictive models for internal use (5%); 7) Develop, standardize, and continuously improve best practices for data collection, analysis, and statistical modeling to ensure accuracy and consistency (5%); 8) Develop and maintain an integrated customer and market intelligence database to track interactions between the business and customers (10%); 9) Collaborate with cross-functional teams to turn market and performance data into strategic marketing recommendations and plans (10%); 10) Study emerging technologies and trends in data analytics, evaluate their relevance to the business, and recommend practical adoption opportunities to improve insight quality and efficiency (5%); 11) Contribute to talent development and knowledge transfer by co-designing onboarding or training programs on analytics tools, BI systems, and market research methods (5%). Bachelors Degree in Marketing Analytics, Data Analytics, Management, or a closely related field plus two years of professional employment experience in providing business intelligence analysis services within the real estate industry. Required experience must include the following: (1) A minimum of two (2) years of professional employment experience in market intelligence data processing and analysis, using Excel, Power BI, Tableau, and Python; (2) A minimum of two (2) years of professional employment experience in conducting ongoing real estate rental market surveillance, including analysis of supply-demand conditions, rental rates, vacancy patterns, and broader market drivers to identify key trends and developments; (3) A minimum of two (2) years of professional employment experience in building predictive models using Excel; (4) A minimum of two (2) years of professional employment experience in preparing market intelligence reports and data visualizations to support marketing initiatives; (5) A minimum of two (2) years of professional employment experience in developing and maintaining internal databases using CRM systems, Excel, and Tableau, to support data analysis and reporting; (6) A minimum of two (2) years of professional employment experience in optimizing and streamlining CRM (Customer Relationship Management) systems; (7) Bachelors Degree in Marketing Analytics, Data Analytics, Management, or a closely related field level of knowledge in data modeling; (8) Bachelors Degree in Marketing Analytics, Data Analytics, Management, or a closely related field level of knowledge in managerial economics and macroeconomic theory; (9) Bachelors Degree in Marketing Analytics, Data Analytics, Management, or a closely related field level of knowledge in advertising strategy. Please copy and paste your resume in the email body (do not send attachments, we cannot open them) and email it to candidates at (link removed) with reference in the subject line. Thank you.
Reed Smith US
Pittsburgh, Pennsylvania
Position summary The Senior Manager of Data Discovery & Readiness leads the firm's business-aligned data readiness function within Strategic Intelligence, ensuring enterprise data is structured, governed, and delivered to support analytics, insights, and advanced modeling, and is fit for purpose for business use. This role defines and maintains data standards, drives data quality across systems, and shapes data structures to meet evolving business and analytical needs. Operating at the intersection of data architecture, data integrity, and business insight, this role partners closely with the IT Data Architect and Strategic Insights to ensure data is both technically integrated and strategically usable. The position evaluates internal and external data sources, including emerging and AI-driven data, to determine quality, relevance, and business value, and delivers curated, high-confidence datasets that enable advanced analytics. The Senior Manager also leads the Data Integrity team and establishes scalable processes to support increasing data complexity in a rapidly evolving data and AI landscape. Job duties and responsibilities Own data readiness within and across systems to enable reliable analytics, insights, and AI consumption. Define and maintain consistent business meaning and strategic context across data fields by establishing and enforcing processes, procedures, and standards that support proper use, shared understanding, and effective change management. Drive data quality improvements within and across systems, managing challenges including data flows, single source of truth, field controls, and data accuracy and completeness. Align curated datasets to use cases in pricing, staffing, growth, benchmarking, and predictive modeling. Anticipate downstream modeling needs and proactively shape data structures. Evaluate the usefulness and signal strength of emerging internal and external data sources, including AI-generated billing analysis, time-entry efficiency data, predictive pricing signals, market intelligence feeds, and other relevant data sources. Evaluate quality and fit by, where appropriate, bringing data into sandbox environments to actively understand and challenge what's available from third parties. Assess scalability, governance implications, business value, and AI readiness of new data streams. Determine which sources should be integrated, refined, or discarded. Lead the Data Integrity team to identify and resolve quality issues, partnering with data providers to ensure accurate reflection and movement of information and working with system owners to support tracking and controls. Work closely with the IT Data Architect - who owns technical schema, ETL pipelines, warehouse architecture, and system integration - to align business objectives with technical infrastructure. Provide the IT Data Architect with business-context requirements for schema design and field structure, and collaborate on evaluating system changes and new integrations. Ensure enterprise architecture supports both governance discipline and modeling flexibility through ongoing partnership with the IT Data Architect. Deliver curated, high-confidence datasets to the Director of Strategic Insights to support advanced analytics and predictive modeling, and iterate quickly to improve dataset performance based on modeling feedback. Ensure data lineage, definitions, assumptions, and limitations are transparent so insights teams can focus on analysis and storytelling rather than sourcing and cleaning data. Act as a trusted thought partner to the Director of Strategic Insights on data readiness and signal quality. Provide direct oversight of the Data Stewardship Manager and their team of Data Research Specialists, outside vendors, and contractors (as applicable). Build scalable processes that allow the team to handle growing data complexity without sacrificing quality. Perform other duties as assigned. Job duties and responsibilities included are not exhaustive and may be supplemented as necessary. Reed Smith reserves the right to revise or modify job duties and responsibilities at any time. Requirements Education Bachelor's degree in data science, information systems, analytics, business, or a related field. Master's degree preferred. Experience Minimum of 8 years of experience in enterprise data management, analytics engineering, or data strategy role in addition to leading a small, high-impact data team. Experience leading a small, high-impact data team. Demonstrated experience evaluating, adjusting, supplementing, and improving data within source systems (CRM, HR, finance, etc.); integrating data into modern data and analytics platforms (Snowflake preferred); and ensuring data supports custom delivery platforms. Hands-on experience with using AI to enhance, blend, and assess data as well as evaluating output from AI-based systems, notably using MCP, Agent Skills, etc. Experience working across finance, CRM, HR, pricing, or operational data domains. Experience working within a professional services or similarly complex environment preferred. Skills Strong ability to align data selection, structure, and use with business objectives and priorities while translating complex data concepts into clear, actionable outputs that support decision-making. Strong understanding of data structures, integration, and data quality principles within enterprise data environments, applying this knowledge to address complex data challenges. Demonstrated ability to evaluate emerging and non-traditional data sources and influence stakeholder adoption and use. Professional presence and communication skills with the ability to influence stakeholders across all levels of the firm and present complex information clearly to senior leadership and diverse audiences. Operational mindset focused on execution, delivering high-quality, scalable outputs, and managing competing priorities to meet established deadlines. Collaborative approach with the ability to build trust and work effectively across business functions and stakeholder groups. Demonstrated management and supervisory capability, leading and developing team members and supporting high-performing teams. High degree of professionalism, discretion, and sound judgment, with the flexibility and adaptability to respond effectively in complex, dynamic, or rapidly evolving situations. Ability to lead through complexity, ambiguity, and organizational change, applying critical thinking and structured problem-solving in evolving environments. Additional information Supervisory responsibilities Data Stewardship Manager Equipment used Personal computer and other office equipment such as telephone, calculator, copier, scanner, etc. Essential job functions Ability to sit or stand for extended periods and perform tasks requiring prolonged and/or extensive computer use. Ability to use computers, telecommunications, and digital collaboration tools to perform core job responsibilities. Ability to engage in effective and professional communication. Ability to analyze complex information while maintaining attention to detail, managing multiple priorities, and exercising sound judgment in decision-making. Ability to access, use, and safeguard confidential and sensitive information while performing job responsibilities in work environments that support confidentiality, privacy, and information security requirements. Ability to work extended or adjusted hours as needed, including evenings, weekends, holidays, and early start times to support collaboration with international stakeholders in EMEA and to meet business, operational, or project needs. Ability to travel for meetings, training, and conferences as required. Ability to work in-office as required to meet business or project needs. Working conditions Works remotely. Occasionally called upon to work hours in excess of your normal daily schedule. Potential for in-office work requests as needed, so proximity to the office is important. Pay ranges This represents the presently anticipated low and high end of Reed Smith's pay range for this position. Actual pay may vary based on various factors, including but not limited to location and experience. Pittsburgh, Miami, Richmond, Texas, Atlanta: $158,000 - $187,000 Chicago, Philadelphia, Wilmington: $170,000 - $200,000 Tysons, Princeton, Washington, D.C., Boston: $181,000 - $214,000 Employee benefits overview Our comprehensive benefits package includes: 401(k) Retirement Plan Medical Insurance Health Savings Account (HSA) Virtual Health Services Dental Insurance Vision Insurance Accident Insurance Hospital Indemnity Insurance Critical Illness Insurance Life Insurance Short-Term Disability Coverage Long-Term Disability Coverage Flexible Spending Accounts (FSA) Lyra Health Employee Assistance Program (EAP) Paid Family Leave (for eligible Exempt and Non-Exempt staff) Transportation Benefit Back-up Child Care Services College Coach Program Pet Insurance Paid Sick Time (for Exempt staff) Paid Time Off (available to all full-time, non-temporary employees) Reed Smith offers a challenging work environment, business casual dress code, and a total compensation package that includes a competitive salary, flexible benefits program, tuition assistance, and generous 401(k) plan. Reed Smith is an Equal Opportunity Employer with Core Values of Integrity, Excellence, Teamwork & Respect, Innovation, and Impact. Reed Smith also provides reasonable accommodations in accordance with law, including in the application and interview process. Qualified candidates only. No search firms.
Position summary The Senior Manager of Data Discovery & Readiness leads the firm's business-aligned data readiness function within Strategic Intelligence, ensuring enterprise data is structured, governed, and delivered to support analytics, insights, and advanced modeling, and is fit for purpose for business use. This role defines and maintains data standards, drives data quality across systems, and shapes data structures to meet evolving business and analytical needs. Operating at the intersection of data architecture, data integrity, and business insight, this role partners closely with the IT Data Architect and Strategic Insights to ensure data is both technically integrated and strategically usable. The position evaluates internal and external data sources, including emerging and AI-driven data, to determine quality, relevance, and business value, and delivers curated, high-confidence datasets that enable advanced analytics. The Senior Manager also leads the Data Integrity team and establishes scalable processes to support increasing data complexity in a rapidly evolving data and AI landscape. Job duties and responsibilities Own data readiness within and across systems to enable reliable analytics, insights, and AI consumption. Define and maintain consistent business meaning and strategic context across data fields by establishing and enforcing processes, procedures, and standards that support proper use, shared understanding, and effective change management. Drive data quality improvements within and across systems, managing challenges including data flows, single source of truth, field controls, and data accuracy and completeness. Align curated datasets to use cases in pricing, staffing, growth, benchmarking, and predictive modeling. Anticipate downstream modeling needs and proactively shape data structures. Evaluate the usefulness and signal strength of emerging internal and external data sources, including AI-generated billing analysis, time-entry efficiency data, predictive pricing signals, market intelligence feeds, and other relevant data sources. Evaluate quality and fit by, where appropriate, bringing data into sandbox environments to actively understand and challenge what's available from third parties. Assess scalability, governance implications, business value, and AI readiness of new data streams. Determine which sources should be integrated, refined, or discarded. Lead the Data Integrity team to identify and resolve quality issues, partnering with data providers to ensure accurate reflection and movement of information and working with system owners to support tracking and controls. Work closely with the IT Data Architect - who owns technical schema, ETL pipelines, warehouse architecture, and system integration - to align business objectives with technical infrastructure. Provide the IT Data Architect with business-context requirements for schema design and field structure, and collaborate on evaluating system changes and new integrations. Ensure enterprise architecture supports both governance discipline and modeling flexibility through ongoing partnership with the IT Data Architect. Deliver curated, high-confidence datasets to the Director of Strategic Insights to support advanced analytics and predictive modeling, and iterate quickly to improve dataset performance based on modeling feedback. Ensure data lineage, definitions, assumptions, and limitations are transparent so insights teams can focus on analysis and storytelling rather than sourcing and cleaning data. Act as a trusted thought partner to the Director of Strategic Insights on data readiness and signal quality. Provide direct oversight of the Data Stewardship Manager and their team of Data Research Specialists, outside vendors, and contractors (as applicable). Build scalable processes that allow the team to handle growing data complexity without sacrificing quality. Perform other duties as assigned. Job duties and responsibilities included are not exhaustive and may be supplemented as necessary. Reed Smith reserves the right to revise or modify job duties and responsibilities at any time. Requirements Education Bachelor's degree in data science, information systems, analytics, business, or a related field. Master's degree preferred. Experience Minimum of 8 years of experience in enterprise data management, analytics engineering, or data strategy role in addition to leading a small, high-impact data team. Experience leading a small, high-impact data team. Demonstrated experience evaluating, adjusting, supplementing, and improving data within source systems (CRM, HR, finance, etc.); integrating data into modern data and analytics platforms (Snowflake preferred); and ensuring data supports custom delivery platforms. Hands-on experience with using AI to enhance, blend, and assess data as well as evaluating output from AI-based systems, notably using MCP, Agent Skills, etc. Experience working across finance, CRM, HR, pricing, or operational data domains. Experience working within a professional services or similarly complex environment preferred. Skills Strong ability to align data selection, structure, and use with business objectives and priorities while translating complex data concepts into clear, actionable outputs that support decision-making. Strong understanding of data structures, integration, and data quality principles within enterprise data environments, applying this knowledge to address complex data challenges. Demonstrated ability to evaluate emerging and non-traditional data sources and influence stakeholder adoption and use. Professional presence and communication skills with the ability to influence stakeholders across all levels of the firm and present complex information clearly to senior leadership and diverse audiences. Operational mindset focused on execution, delivering high-quality, scalable outputs, and managing competing priorities to meet established deadlines. Collaborative approach with the ability to build trust and work effectively across business functions and stakeholder groups. Demonstrated management and supervisory capability, leading and developing team members and supporting high-performing teams. High degree of professionalism, discretion, and sound judgment, with the flexibility and adaptability to respond effectively in complex, dynamic, or rapidly evolving situations. Ability to lead through complexity, ambiguity, and organizational change, applying critical thinking and structured problem-solving in evolving environments. Additional information Supervisory responsibilities Data Stewardship Manager Equipment used Personal computer and other office equipment such as telephone, calculator, copier, scanner, etc. Essential job functions Ability to sit or stand for extended periods and perform tasks requiring prolonged and/or extensive computer use. Ability to use computers, telecommunications, and digital collaboration tools to perform core job responsibilities. Ability to engage in effective and professional communication. Ability to analyze complex information while maintaining attention to detail, managing multiple priorities, and exercising sound judgment in decision-making. Ability to access, use, and safeguard confidential and sensitive information while performing job responsibilities in work environments that support confidentiality, privacy, and information security requirements. Ability to work extended or adjusted hours as needed, including evenings, weekends, holidays, and early start times to support collaboration with international stakeholders in EMEA and to meet business, operational, or project needs. Ability to travel for meetings, training, and conferences as required. Ability to work in-office as required to meet business or project needs. Working conditions Works remotely. Occasionally called upon to work hours in excess of your normal daily schedule. Potential for in-office work requests as needed, so proximity to the office is important. Pay ranges This represents the presently anticipated low and high end of Reed Smith's pay range for this position. Actual pay may vary based on various factors, including but not limited to location and experience. Pittsburgh, Miami, Richmond, Texas, Atlanta: $158,000 - $187,000 Chicago, Philadelphia, Wilmington: $170,000 - $200,000 Tysons, Princeton, Washington, D.C., Boston: $181,000 - $214,000 Employee benefits overview Our comprehensive benefits package includes: 401(k) Retirement Plan Medical Insurance Health Savings Account (HSA) Virtual Health Services Dental Insurance Vision Insurance Accident Insurance Hospital Indemnity Insurance Critical Illness Insurance Life Insurance Short-Term Disability Coverage Long-Term Disability Coverage Flexible Spending Accounts (FSA) Lyra Health Employee Assistance Program (EAP) Paid Family Leave (for eligible Exempt and Non-Exempt staff) Transportation Benefit Back-up Child Care Services College Coach Program Pet Insurance Paid Sick Time (for Exempt staff) Paid Time Off (available to all full-time, non-temporary employees) Reed Smith offers a challenging work environment, business casual dress code, and a total compensation package that includes a competitive salary, flexible benefits program, tuition assistance, and generous 401(k) plan. Reed Smith is an Equal Opportunity Employer with Core Values of Integrity, Excellence, Teamwork & Respect, Innovation, and Impact. Reed Smith also provides reasonable accommodations in accordance with law, including in the application and interview process. Qualified candidates only. No search firms.
Sysco
Houston, Texas
This is a hybrid position requiring an on-site presence 3 to 4 days per week. Please note that the number of on-site days may increase based on business needs. LOCATION: 1390 Enclave Parkway Houston, TX 77077 Job Summary Sysco is one of the largest eCommerce companies in the US - a well-kept secret within the industry, and this role will be instrumental to driving growth by incubating new eCommerce and digital offerings. The Director, eCommerce & Digital Growth will lead a team to bring new eCommerce & digital products, services, and programs to market. This role will focus on standing up new eCommerce and/or digital capabilities, as well as the full set of required underlying enablers across functions, such as technology, merchandising, pricing, supply chain, operations, and others depending on the nature of the new program being brought to market. The Director, eCommerce & Digital Growth will work with the Sysco leadership team, enterprise strategy counterparts, and business leads to move forward the program strategy, identify key priorities and choices that allow Sysco to deliver as part of the program strategy, and manage trade-offs required to realize the vision. Success in this role will require close partnership with a cross-functional team to enable new offerings, design all components of new programs, execute pilots to test, learn, and iterate, and then ultimately scale-up. The ideal candidate will thrive in an environment that requires entrepreneurship within a complex, matrixed organization and understands how to build new capabilities while leveraging the expertise and scale of a Fortune 500 company. Responsibilities will include designing new customer programs and digital offerings, building products / services, driving analyses, developing enablers, and launching, piloting, iterating, and scaling new digital products, services, and programs in collaboration w/ cross-functional teams. This role will also be responsible for delivering new capabilities for Sysco that will scale enterprise wide. Duties and Responsibilities Lead end-to-end incubation and scale-up of new digital and eCommerce programs, products, and services to drive customer acquisition and share of wallet expansion, including go-to-market design, offering iteration, pilot design and execution, and scale-up Develop end-to-end customer experience for new programs and provide program requirements to technology teams to build eCommerce and/or digital experience Collaborate with pricing, merchandising, and enterprise analytics teams to define pricing strategy Work with marketing to develop go-to-market plan, marketing campaigns, and content to support commercialization. Lead program commercialization to drive acquisition and penetration of customers by leveraging both sales and direct to customer channels Work cross-functionally with supply chain management and operating sites to ensure strong change management to support any new offerings with operational implications Lead direct team and cross-functional team to design pilot tests and to launch, pilot, and iterate offerings in test markets. Manage P&L (i.e., against revenue targets and incurrence of costs/investments to support growth). Build and execute scale-up plan based on pilot learnings Actively analyze performance through web analytics and report out on program performance to the broader commercial teams Present on growth roadmap and program results to ELT, including CEO Education Bachelor's degree in a Technical Field (Engineering/Computer Science/Mathematics) required MBA preferred At least 4-6 years of experience post MBA Engagement Manager with top-tier management consulting firm with significant case work in development and implementation of growth strategies Experience managing new eCommerce product or service introductions across launch, pilot, and scale-up phases for large B2B or B2C companies Experience Required: Experience building new customer programs from the ground up, including product and/or service development, end-to-end digital and customer experience, go-to-market and pilot design, and collaboration with cross-functional team to launch, pilot, and scale Track record of building and managing strategic partnerships to enhance customer programs Strong knowledge of technologies associated with end-to-end execution of marketing campaigns (e.g., Google Marketing Platform - Analytics, Search Ads, Display & Video, Facebook Business Manager, Salesforce Marketing Cloud, other DMP/CDP, etc.) Analytical mindset and proven ability to use data to test, rapidly learn, and iterate to optimize program performance Executive presence and experience communicating effectively with technical and non-technical individuals Experience influencing teams outside of your direct purview Preferred: Past P&L owner of an eCommerce line of business a plus Significant experience working with data science tools and visualization packages (i.e. Python, R, SQL, Tableau, Alteryx) Strong data analytical skills and proven experience developing and using tools to analyze large data sets to drive decisions Experience working in highly matrixed organization Technical Skills and Abilities Strong understanding of technology, pricing, merchandising, supply chain management, operations, marketing & sales, and finance Experience with product launch calendaring and managing against deadlines Proficiency in eCommerce platforms, site analytics tools (e.g. Adobe Analytics, Google Analytics), and personalization tools/concepts Customer-obsessed, focused on building a best-in-class digital and customer experience Strong interpersonal, leadership, communication, and presentation skills Proven experience to get work done in a complex, matrixed organization Ability to think strategically and tactically from customer perspective Ability to structure unique problems and lead cross-functional teams in a way that enables the organization to make significant progress quickly Strong ability to manage ambiguity and guide the organization through it towards clear and decisive action plans Ability to understand and manage P&L Strong project leadership and management background Proven success in change management Excellent analytic and problem-solving skills Proven ability to establish credibility and influence executive-level stakeholders as well as the ability to work across boundaries and lead through influence Strong communication and collaboration skills Leader/doer with the ability to operate effectively and influence others in a matrix organization Excellent pattern recognition and predictive modeling skills Self-starter with a strong ability to lead and develop a new team Experience in a startup-like environment and ability to foresee the needs of the organization, plan accordingly and direct the team to achieve quick wins and long-term success Professional attitude, service orientation, strong work ethic; superb team player Excels in nebulous environments where the path to address a problem is not always clear or direct Approaches every problem with an outside-in perspective first and does not allow the status quo to influence your analysis Exceptional PowerPoint, Excel, and Microsoft Word skills Additional Requirements Physical Demands Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions of this job. Standard for corporate office Travel Requirements: Up to 25% Work Environment: Standard for corporate office Decision Making Authority Decisions to be made independently without direction or supervision: Make decisions across variety of execution areas. Upfront strategy, design, and approach to be done collaboratively with direction. Decisions made with review/approval of other individuals/leadership Upfront strategy, design, and approach to be done collaboratively with review/approval.
This is a hybrid position requiring an on-site presence 3 to 4 days per week. Please note that the number of on-site days may increase based on business needs. LOCATION: 1390 Enclave Parkway Houston, TX 77077 Job Summary Sysco is one of the largest eCommerce companies in the US - a well-kept secret within the industry, and this role will be instrumental to driving growth by incubating new eCommerce and digital offerings. The Director, eCommerce & Digital Growth will lead a team to bring new eCommerce & digital products, services, and programs to market. This role will focus on standing up new eCommerce and/or digital capabilities, as well as the full set of required underlying enablers across functions, such as technology, merchandising, pricing, supply chain, operations, and others depending on the nature of the new program being brought to market. The Director, eCommerce & Digital Growth will work with the Sysco leadership team, enterprise strategy counterparts, and business leads to move forward the program strategy, identify key priorities and choices that allow Sysco to deliver as part of the program strategy, and manage trade-offs required to realize the vision. Success in this role will require close partnership with a cross-functional team to enable new offerings, design all components of new programs, execute pilots to test, learn, and iterate, and then ultimately scale-up. The ideal candidate will thrive in an environment that requires entrepreneurship within a complex, matrixed organization and understands how to build new capabilities while leveraging the expertise and scale of a Fortune 500 company. Responsibilities will include designing new customer programs and digital offerings, building products / services, driving analyses, developing enablers, and launching, piloting, iterating, and scaling new digital products, services, and programs in collaboration w/ cross-functional teams. This role will also be responsible for delivering new capabilities for Sysco that will scale enterprise wide. Duties and Responsibilities Lead end-to-end incubation and scale-up of new digital and eCommerce programs, products, and services to drive customer acquisition and share of wallet expansion, including go-to-market design, offering iteration, pilot design and execution, and scale-up Develop end-to-end customer experience for new programs and provide program requirements to technology teams to build eCommerce and/or digital experience Collaborate with pricing, merchandising, and enterprise analytics teams to define pricing strategy Work with marketing to develop go-to-market plan, marketing campaigns, and content to support commercialization. Lead program commercialization to drive acquisition and penetration of customers by leveraging both sales and direct to customer channels Work cross-functionally with supply chain management and operating sites to ensure strong change management to support any new offerings with operational implications Lead direct team and cross-functional team to design pilot tests and to launch, pilot, and iterate offerings in test markets. Manage P&L (i.e., against revenue targets and incurrence of costs/investments to support growth). Build and execute scale-up plan based on pilot learnings Actively analyze performance through web analytics and report out on program performance to the broader commercial teams Present on growth roadmap and program results to ELT, including CEO Education Bachelor's degree in a Technical Field (Engineering/Computer Science/Mathematics) required MBA preferred At least 4-6 years of experience post MBA Engagement Manager with top-tier management consulting firm with significant case work in development and implementation of growth strategies Experience managing new eCommerce product or service introductions across launch, pilot, and scale-up phases for large B2B or B2C companies Experience Required: Experience building new customer programs from the ground up, including product and/or service development, end-to-end digital and customer experience, go-to-market and pilot design, and collaboration with cross-functional team to launch, pilot, and scale Track record of building and managing strategic partnerships to enhance customer programs Strong knowledge of technologies associated with end-to-end execution of marketing campaigns (e.g., Google Marketing Platform - Analytics, Search Ads, Display & Video, Facebook Business Manager, Salesforce Marketing Cloud, other DMP/CDP, etc.) Analytical mindset and proven ability to use data to test, rapidly learn, and iterate to optimize program performance Executive presence and experience communicating effectively with technical and non-technical individuals Experience influencing teams outside of your direct purview Preferred: Past P&L owner of an eCommerce line of business a plus Significant experience working with data science tools and visualization packages (i.e. Python, R, SQL, Tableau, Alteryx) Strong data analytical skills and proven experience developing and using tools to analyze large data sets to drive decisions Experience working in highly matrixed organization Technical Skills and Abilities Strong understanding of technology, pricing, merchandising, supply chain management, operations, marketing & sales, and finance Experience with product launch calendaring and managing against deadlines Proficiency in eCommerce platforms, site analytics tools (e.g. Adobe Analytics, Google Analytics), and personalization tools/concepts Customer-obsessed, focused on building a best-in-class digital and customer experience Strong interpersonal, leadership, communication, and presentation skills Proven experience to get work done in a complex, matrixed organization Ability to think strategically and tactically from customer perspective Ability to structure unique problems and lead cross-functional teams in a way that enables the organization to make significant progress quickly Strong ability to manage ambiguity and guide the organization through it towards clear and decisive action plans Ability to understand and manage P&L Strong project leadership and management background Proven success in change management Excellent analytic and problem-solving skills Proven ability to establish credibility and influence executive-level stakeholders as well as the ability to work across boundaries and lead through influence Strong communication and collaboration skills Leader/doer with the ability to operate effectively and influence others in a matrix organization Excellent pattern recognition and predictive modeling skills Self-starter with a strong ability to lead and develop a new team Experience in a startup-like environment and ability to foresee the needs of the organization, plan accordingly and direct the team to achieve quick wins and long-term success Professional attitude, service orientation, strong work ethic; superb team player Excels in nebulous environments where the path to address a problem is not always clear or direct Approaches every problem with an outside-in perspective first and does not allow the status quo to influence your analysis Exceptional PowerPoint, Excel, and Microsoft Word skills Additional Requirements Physical Demands Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions of this job. Standard for corporate office Travel Requirements: Up to 25% Work Environment: Standard for corporate office Decision Making Authority Decisions to be made independently without direction or supervision: Make decisions across variety of execution areas. Upfront strategy, design, and approach to be done collaboratively with direction. Decisions made with review/approval of other individuals/leadership Upfront strategy, design, and approach to be done collaboratively with review/approval.