Sr. Data Product Manager

Job Title:
Senior Data Product Manager/owner

Location:
San Francisco, CA or Arlington, VA or Westminster, CO or Chicago, IL or Boston, MA or Birmingham, MI or Houston, TX or Atlanta, GA or Miami, FL or New York, NY or Minneapolis, MN or Los Angeles, CA or Seattle, WA or Dallas/Irving, TX or Irvine, CA.

Nature of Job :
Remote(Candidate will be required to do onsite interview, , and if hired go to office location to pick up the laptop and for validation as needed after starting the project).

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

• 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.

• 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.

• 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).