Data Product Owner - Clinical Analytics
About Cigna Healthcare
About the Role
Agile Data Product Owner – Clinical
end
to
end ownership of data products
Critical Data Element (CDE) Accountability
direct accountability for the identification, stewardship, and lifecycle management of Critical Data Elements (CDEs)
cradle to grave
trusted reporting, Trusted Data Sets (TDS), and AI
ready data products
AI product ownership responsibilities
Key Responsibilities
Data Product Ownership
- Own and manage data products supporting
Health Services
, ensuring alignment to business objectives and analytical needs.
- Translate business requirements into
clear, prioritized backlog items
aligned with Product Manager‑defined roadmaps.
- Ensure data products support secure, governed access to data for exploration, analysis, reporting, and insight generation.
Backlog & Agile Delivery
- Maintain and prioritize the
data
related backlog
for delivery teams using Agile practices.
- Participate in and support agile ceremonies, including backlog refinement, sprint planning, reviews, and retrospectives.
- Drive continuous improvement in delivery quality, speed, and value realization.
Critical Data Elements (CDE) Ownership
- Identify, steward, and manage
Critical Data Elements (CDEs)
within the Provider Health Services domain.
- Own CDEs
end
to
end
, including definition, documentation, lineage, quality standards, monitoring, usage, and retirement.
- Partner with business data owners, data governance, and technical teams to review and update CDEs regularly and resolve data quality issues.
- Ensure CDEs are embedded within data products and serve as the backbone for trusted analytics, reporting, TDS, and AI use cases.
Stakeholder Engagement
- Act as the primary liaison between
business stakeholders, data governance, and technical delivery teams
.
- Communicate data product progress, dependencies, risks, and value delivered.
- Ensure stakeholder needs are understood, prioritized, and reflected in data product delivery.
Data Governance, Quality & Architecture
- Embed
data governance, privacy, and quality requirements
into all data products.
- Collaborate with Data Engineering, Cloud Engineering, and Architecture teams to ensure scalable, resilient data solutions.
- Support adoption of enterprise standards for data cataloging, quality monitoring, and lineage.
Success Metrics
- Delivery of high‑impact data products aligned to Health Services priorities.
- Stakeholder satisfaction and adoption of data products.
- Improved data quality and governance adherence for Critical Data Elements.
- Timely and reliable availability of trusted data for analytics, reporting, and AI use cases.
Key Qualifications & Skills
- Strong understanding of
data management, analytics, reporting platforms, and AI concepts
.
- Experience working in
Agile environments
, including backlog management and tools such as Jira.
- Ability to translate business needs into
clear data product requirements
.
- Knowledge of
data governance, privacy, and data quality principles
, including CDE concepts.
- Experience with data exploration, analysis, and visualization tools.
- Strong communication, stakeholder management, and collaboration skills.
- Proven problem‑solving and critical thinking abilities.
- Experience supporting or participating in training related to data fluency, Agile product management, or GenAI is a plus.
Why You'll Love Working here
- Competitive salary
- Multicultural and hybrid working environment
- Private Medical Insurance
- Employee Wellbeing Benefits
- Educational Development Program
About Cigna Healthcare
Not included in the source posting: benefits.
Skills
Who can apply
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