Product Manager
- Compensation
- Not disclosed
- Location
- Remote/Homebased
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Product
- Posted
Skills
Must have
- Bachelor’s degree and 5+ years of product management, solution strategy, or analytics experience, including ownership of a product, use case, or measurement/analytics deliverable
Nice to have
- Experience productizing analytics or professional-services work into repeatable dashboards or managed offerings
Full description
We are seeking a highly skilled and driven Product Manager to own product execution for Acxiom’s Measurement & Optimization offering: the connected capability that ties Real ID, clean room technology, and standardized pipelines to closed-loop, privacy-safe measurement (incrementality/lift, multi-touch attribution, marketing mix modeling, conversion APIs, and rules-based attribution) and in-flight optimization across programmatic, social, TV, retail media, and owned channels.
This role translates offering strategy and client needs into buildable requirements, user stories, and a prioritized backlog, then works day-to-day with an engineering and data-science team to deliver repeatable, standardized products rather than bespoke analytics engagements. Adoption, time-to-value, and product quality are key success measures. A background in advertising measurement/analytics, data pipelines, clean rooms, or identity is strongly preferred.
DUTIES AND RESPONSIBILITIES
- Directly Responsible Individual (DRI) for one or more supported measurement or optimization use cases (e.g., a specific methodology, dashboard, or partner integration)
- Translates offering vision, methodology, and client/market needs into functional requirements, user stories, and acceptance criteria; owns and prioritizes the backlog for assigned use cases
- Executes product development plans in partnership with Engineering and Data Science to deliver repeatable products (standardized dashboards, common measurement definitions, and delivery playbooks)
- Supports the measurement methodology portfolio, including Partner Lift/incrementality, multi-touch attribution (MTA), marketing mix modeling (MMM), and rules-based attribution, by translating data-science-defined methodology into product requirements and workflows
- Shapes workflows that connect measurement outputs to optimization actions (audience, spend, targeting, and creative decisions), including in-flight adjustments
- Partners with Identity and Clean Room teams to define how assigned use cases consume Real ID and governed clean-room infrastructure as inputs
- Works with walled gardens, publishers, and retail media partners to define exposure/outcome data requirements, cadence, and granularity for assigned use cases
- Works closely with Privacy, Legal, and Compliance teams to ensure consent-aware, privacy-safe requirements (e.g., SOC 2, ISO 27001, and HIPAA where applicable) are addressed throughout the product lifecycle
- Collaborates with Sales, Marketing, and Client Strategy to support launch positioning, proof points, and enablement materials for assigned solutions
- Monitors product performance and drives continuous improvement based on client feedback, usage data, and operational learnings