Agile Data Product Owner (contract)
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Role details
Tech stack
Job description
The CAO Data Analytics & Insights team is seeking an experienced Agile Data Product Owner to lead the delivery of enterprise data products that support reporting, analytics, data governance, regulatory compliance, and business decision-making.
This role serves as the business owner for a defined data product area, partnering with business stakeholders, technology teams, data governance, risk, and compliance partners to translate strategic priorities into a well-managed product backlog and deliver measurable business value.
Responsibilities:
- Own, prioritize, and manage the product backlog.
- Define and refine features, user stories, and acceptance criteria.
- Participate in Agile ceremonies including sprint planning, backlog refinement, reviews, retrospectives, and PI Planning.
- Partner with Product Managers to align delivery with roadmap objectives.
- Collaborate with Technology, Data Governance, Risk, Compliance, and business stakeholders.
- Manage cross-team dependencies, risks, and competing priorities.
- Review and accept completed work against defined acceptance criteria.
- Monitor product adoption, value realization, and data quality outcomes.
Requirements
- Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.
- Experience as a Product Owner in Agile environments.
- Strong understanding of data products, data management, and analytics solutions.
- Experience translating business requirements into data capabilities such as data sourcing, data quality, reporting, analytics, metadata, and lineage.
- Proven stakeholder management and cross-functional collaboration skills.
- Hands-on experience with Jira and Confluence.
- Knowledge of governance, risk, compliance, and control requirements in regulated environments.
- Agile certifications (CSPO, PSPO, SAFe POPM, SAFe Agilist, PMI-ACP). (preferred)
- Experience with enterprise data warehouses, cloud data platforms, data governance, metadata, lineage, and data quality initiatives.
- Financial services experience preferred.
- Experience working in highly regulated industries such as banking, insurance, or healthcare.
- Bachelor’s degree in Business, Information Technology, Computer Science, Analytics, Engineering, or a related field preferred.
Benefits & conditions
Pulled from the full job description
- 401(k)
- Life insurance
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