Lead Data Product Management

Overview The Lead, Data Product Management is a hands‑on individual contributor role designed to support the day‑to‑day execution of data products while building deep expertise in Epsilon’s data systems and use cases. This role begins with a strong operational focus, supporting daily data needs, validating datasets, and assisting client‑facing teams, and evolves into a higher‑impact position that helps shape data strategy, improve processes, and scale the evolution of Data at Epsilon. You will work closely with vendors to ensure feature rollouts are documented, and internal Epsilon, Publicis Groupe, and client teams are trained. This is an ideal role for someone who enjoys working close to the data, thrives in ambiguity, has an eye for areas of automation, and wants to grow into a strategic data leader. Over time, the Lead will take on broader ownership, contribute to strategic initiatives, and play a key role in scaling both systems and team capability. Responsibilities Data Operations & Enablement (Initial Focus) Support daily data requests from internal and client‑facing teams, including reporting needs, data availability questions, and pipeline triage Validate that data is loaded, updated, and behaving as expected across Epsilon platforms Develop a deep understanding of how data flows through systems, pipelines, and downstream products Partner with Product Managers and technical teams to investigate data discrepancies or gaps Serve as a trusted point of contact for “how does this data work?” questions Documentation & Knowledge Management Create and maintain clear, practical documentation on datasets, attributes, permitted use cases, and known limitations across data sources Ensure documentation reflects how data is actually used, not just how it is designed Support training efforts for internal teams by contributing to enablement materials and walkthroughs Cross‑Functional Collaboration Work closely with Data Engineering, Data Warehouse, Audience, and Account teams to ensure data products meet business and client needs Translate business questions into data‑oriented investigations and insights Escalate risks, inconsistencies, or recurring issues with clear context and proposed paths forward Advanced Ownership and System Improvement (Over Time) Identify patterns in recurring data issues or requests and propose operational, documentation, or process improvements Support internal teams with analysis, validation, and subject‑matter expertise on data usage and limitations Develop operational monitoring to quantify data gaps and areas for improvement Help onboard and mentor more junior analysts as the team grows Contribute to improving how data products are launched, documented, and supported at scale Qualifications 4+ years of experience working with data in a professional environment, including analytics, data operations, data products, or similar roles (Postgres and Databricks SQL preferred but not required) 2+ years of hands‑on experience working with backend data systems, such as data warehouses, data pipelines, or large relational datasets (Python with SQL preferred but not required) 2+ years of experience designing and maintaining automated operational, monitoring, or data quality solutions that reduce manual effort or improve domain knowledge (Python or Bash preferred) Experience working with complex datasets across multiple sources and understanding how upstream changes impact downstream usage Familiarity with DevOps concepts (e.g., CI/CD, infrastructure‑aware development, monitoring) in the context of data systems is a plus Familiarity with data governance, data privacy concepts, or working with sensitive data (PII and/or pseudonymized data) is a plus Bachelor’s degree or equivalent practical experience Click here to view how Epsilon transforms marketing with 1 View, 1 Vision, 1 Voice. Additional Information When You Join Us, We’ll Create Something EPIC Together Epsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we’ve provided marketers from the world’s leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels. Epsilon’s comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology. We process 400+ billion consumer actions each day using advanced AI and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Epsilon is a global company with more than 9,000 employees around the world. Our pillars aren't just words. They're how we show up every day. People centricity: We focus on employee well-being in an environment where colleagues truly care about each other. Collaboration: We work together, support one another, and collectively achieve goals. Growth: There are endless opportunities for growth through learning, development and career advancement. Innovation: We drive progress through cutting-edge solutions and forward-thinking approaches. Flexibility: We’ve created a balance between work and personal life, and we encourage adaptability to solve problems creatively. Our values guide us to create value for our clients, our people and consumers. Act with integrity Work together to win together Innovate with purpose Respect all voices Empower with accountability These pillars and values are our foundation—shaping our culture, guiding our decisions, and uniting us in common purpose. Because You Matter As an Epsilon employee, you deserve perks and benefits that put you, your family and your finances first. Our benefits encompass a wide range of offerings, including but not limited to the following: Time to Recharge: Flexible time off (FTO), 15 paid holidays Time to Recover: Paid sick time Family Well-Being: Parental/new child leave, childcare & elder care assistance, adoption assistance Extra Perks: Comprehensive health coverage, 401(k), tuition assistance, commuter benefits, professional development, employee recognition, charitable donation matching, health coaching and counseling Epsilon benefits are subject to eligibility requirements and other terms. Epsilon is an Equal Opportunity Employer. Epsilon’s policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, color, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information, or any other characteristic protected by applicable federal, state or local law. Epsilon also prohibits harassment of applicants and employees based on any of these protected categories. Epsilon will provide accommodations to applicants needing accommodations to complete the application process. Please reach out to [email protected] to request an accommodation. For San Francisco Bay and Los Angeles Areas: Epsilon will consider for employment qualified applicants with criminal histories in a manner consistent with the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance and San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance. Applicants with criminal histories are welcome to apply. #LI-JC1 Compensation Range: USD $77,100.00 - USD $143,300.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 7/17/2026.

4+ years of experience working with data in a professional environment, including analytics, data operations, data products, or similar roles (Postgres and Databricks SQL preferred but not required) 2+ years of hands‑on experience working with backend data systems, such as data warehouses, data pipelines, or large relational datasets (Python with SQL preferred but not required) 2+ years of experience designing and maintaining automated operational, monitoring, or data quality solutions that reduce manual effort or improve domain knowledge (Python or Bash preferred) Experience working with complex datasets across multiple sources and understanding how upstream changes impact downstream usage Familiarity with DevOps concepts (e.g., CI/CD, infrastructure‑aware development, monitoring) in the context of data systems is a plus Familiarity with data governance, data privacy concepts, or working with sensitive data (PII and/or pseudonymized data) is a plus Bachelor’s degree or equivalent practical experience Click here to view how Epsilon transforms marketing with 1 View, 1 Vision, 1 Voice.

Data Operations & Enablement (Initial Focus) Support daily data requests from internal and client‑facing teams, including reporting needs, data availability questions, and pipeline triage Validate that data is loaded, updated, and behaving as expected across Epsilon platforms Develop a deep understanding of how data flows through systems, pipelines, and downstream products Partner with Product Managers and technical teams to investigate data discrepancies or gaps Serve as a trusted point of contact for “how does this data work?” questions Documentation & Knowledge Management Create and maintain clear, practical documentation on datasets, attributes, permitted use cases, and known limitations across data sources Ensure documentation reflects how data is actually used, not just how it is designed Support training efforts for internal teams by contributing to enablement materials and walkthroughs Cross‑Functional Collaboration Work closely with Data Engineering, Data Warehouse, Audience, and Account teams to ensure data products meet business and client needs Translate business questions into data‑oriented investigations and insights Escalate risks, inconsistencies, or recurring issues with clear context and proposed paths forward Advanced Ownership and System Improvement (Over Time) Identify patterns in recurring data issues or requests and propose operational, documentation, or process improvements Support internal teams with analysis, validation, and subject‑matter expertise on data usage and limitations Develop operational monitoring to quantify data gaps and areas for improvement Help onboard and mentor more junior analysts as the team grows Contribute to improving how data products are launched, documented, and supported at scale