Senior Data Product Manager

Must have- they have strong experience with Data Warehouse, Data Lake, and/or Big Data projects.

Core Requirements:

• Data Product Owner experience.
• Demonstrated Product Owner experience in Agile/Scrum (or equivalent), including end-to-end delivery, backlog ownership, and sprint planning in complex environments.
• Demonstrated experience serving as Product Owner for an embedded engineering pod (or equivalent), driving prioritization and managing delivery trade-offs.

Technical Product Manager (Data)


Reporting to the Director, Data Strategy & Stewardship, the Sr. Digital Product Manager is an individual contributor who turns business needs and data strategy into shippable capabilities on the Experience Data Platform. Embedded with an assigned engineering pod, they lead discovery, define features and epics for one or more data product areas, and partner with the Lead Digital Product Manager to translate business needs into clear, prioritized work.The Sr. Digital Product Manager manages the product backlog and end-to-end delivery for their assigned epics and features with their engineering pod. Working in an Agile Scrum environment, they lead key ceremonies, coordinate with Engineering and other delivery teams, and ensure high-quality, on-time releases that meet business, technical, and compliance standards.
Success in this role requires strong product management skills, experience with agile engineering teams, and the ability to collaborate with both technical and non-technical partners. The Sr. Digital Product Manager balances trade-offs between scope, timing, and quality, contributes to roadmap planning, and maintains transparency and alignment across stakeholders.


Primary responsibilities include:
• Serve as Product Owner for the assigned engineering pod, managing backlog prioritization, sprint planning, and predictable delivery.
• Lead and participate in Agile ceremonies, ensuring visibility into progress, decisions, risks, and delivery impacts.
• Track and proactively resolve delivery milestones, dependencies, blockers, and risks to ensure transparency and alignment with capability roadmaps.
• Incorporate feedback from stakeholders, end users, and experiments (e.g., pilots, A/B tests) into ongoing backlog and sprint planning.
• Perform other duties as assigned.
• Own the Experience Data Backlog, backlog, and delivery cycles across enterprise teams.
• Translate business needs in to clear AEP use cases by partnering closely with Product Leads, Marketing Operations, Customer Journey teams, and external stakeholders.
• Partner with Data Engineering to ensure accurate data publishing, high data quality, and effective identity stitching between our Experience Evolution platform and AEP.
• Facilitate user feedback loops, create documentation, and support onboarding across product, business, and technical teams.
• Monitor platform performance and usage metrics, providing insights and driving adoption across business units and international markets.
• Write and refine epics, features, user stories, and acceptance criteria that guide the engineering pod and embed data quality, compliance, and performance requirements.


Required Qualifications:
• Bachelor's degree or equivalent practical experience in a related field.
• 4+ years of demonstrated Product Owner experience in Agile/Scrum (or equivalent), including end-to-end delivery, backlog ownership, and sprint planning in complex environments.
• Demonstrated experience serving as Product Owner for an embedded engineering pod (or equivalent), driving prioritization and managing delivery trade-offs.
• Demonstrated experience translating business needs and user insights into epics, user stories, and clear acceptance criteria.
• Demonstrated experience partnering across Architecture, Engineering, and business stakeholders to deliver platform capabilities.
• Strong written and verbal communication skills, including the ability to drive alignment across technical and non-technical teams and provide executive-ready updates.
• Demonstrated ability to navigate ambiguity and shifting priorities while maintaining delivery focus and accountability.
• Strong analytical and problem-solving skills, using data and metrics to assess performance and inform decisions.
• Demonstrated ability to build trust and collaborate effectively across teams and stakeholders.



Preferred Qualifications
• Understanding of data privacy and consent management frameworks.
• Experience analyzing and synthesizing data to inform roadmap priorities, identify risks/opportunities, and recommend actions.
• Experience using product and delivery tooling (e.g., Aha!, Rally, or similar) to manage work, dependencies, and delivery reporting.
• Familiarity leveraging AI-enabled tools to accelerate analysis, reporting, and/or product workflow (e.g., automated insights, anomaly detection, AI-assisted documentation).
• Basic data product owner experience