Data Management Strategy & Governance Advisor - HIH - Evernorth
Position Overview
The Data Steward is a highly visible member of a cross-functional Data Product Enablement & Governance team who partners with business, technical, and regulatory partners to ensure the documentation and implementation of data standards to ensure USE & Care+ analytic data is fit for organization use. This role focuses on governing the data and metadata foundations required to responsibly enable AI and advanced analytics, including business glossary management, data classification, metadata quality, and stewardship workflows for AI‑generated content. Working closely with data owners, product teams, analytics, engineering, and governance partners, this role ensures that data used for AI and analytics is accurate, compliant, explainable, and aligned to enterprise standards, while enabling scalable adoption of AI‑assisted metadata and automation capabilities across data products and platforms.
As a Data Steward, you’ll help define, govern, and enable trusted data products that power analytics, decision‑making, and AI—working across business and technical teams to make data clear, reliable, and valuable.
Responsibilities
- Govern data and metadata standards that ensures AI readiness, including semantic consistency, explainability, and reuse across AI and analytics use cases.
- Participate in the governance of AI‑generated metadata (e.g., glossary terms, descriptions, classifications), ensuring outputs are clearly labeled, reviewed, and approved through stewardship workflows.
- Ensure data used in AI and advanced analytics is appropriately classified, protected, and compliant with privacy, security, and regulatory requirements.
- Review and refine AI‑driven tagging rules (e.g., sensitivity labels, semantic classifications, glossary mappings) to ensure accuracy, explainability, and alignment with enterprise data standards.
- Lead Data Governance collaborations with USE & Care+ stakeholders to document, define, maintain, and manage foundational and analytic data and data assets.
- Expert on relevant data, data usage, data assets, and data landscape.
- Collaborate with other departments to ensure data standardization, consistency, and compliance across the matrixed USE & Care+ organization.
- Collaborate with stakeholders to establish data quality (DQ) metrics and determine performance standards.
- Partner with Enterprise Data Governance (EDG) to ensure end-to-end data governance and policy compliance.
- Identifies and addresses risks and vulnerabilities related to data security, compliance, usage, quality, and integrity across data assets.
- Provide consultative stewardship services to delivery and issue resolution teams, serving as subject matter expert as needed.
- Responsible for data quality assessment and monitoring; trends analysis; and remediation and preventative action coordination.
- Acts as a single point of contact for coordination of DQ initiatives for USE & Care+ data assets.
- Responsible for all Data Governance products within USE & Care+, including data rules, metadata management, CDE documentation, glossary, lineage, etc.
- Engages with Technical Product Owners (TPOs) and Capability Analysts (CAs) to provide input and feedback as appropriate.
Qualifications
Required Skills:
- Knowledge of how data classification and tagging directly support AI enablement, including downstream impacts on access control, privacy, model training, and analytics reuse.
- Proven expertise in data model metadata (e.g., attribute definitions, lineage, source-to-target mappings) as an enabler for AI interpretability, semantic tagging, and governed reuse across analytics and AI use cases.
- Intermediate to Advanced data analysis skills and tools such as MS SQL (SSMS), Teradata, and MS Excel.
- Strong analytical and problem-solving capabilities.
- Strong communication skills (written, verbal, and presentation).
- Ability to engage business and data stakeholders to resolve questions or issues.
- Ability to strategize across complex, cross-functional projects and initiatives.
- Self-driven with the ability to function with minimal direction.
- Ability to manage multiple and sometimes competing priorities in a fast-paced environment.
- Quick learner and team player.
Required Experience & Education:
- 5+ years’ experience as a Data Steward.
- 5+ years’ experience in the Healthcare industry.
- Experience in Agile methodology.
Desired Experience:
- · Experience stewarding/supporting AI-assisted data tagging, classification, or metadata enrichment capabilities, with accountability for business validation and governance approval of AI-generated outputs.
- · Experience with data governance tools, particularly Collibra DI and DQ.
- · Experience with Commercial healthcare products.
Equal Opportunity Statement:
Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations.
About Evernorth Health Services
Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.
Skills Required
- Knowledge of how data classification and tagging support AI enablement, including impacts on access control, privacy, training, and reuse.
- Proven expertise in data model metadata (attribute definitions, lineage, source-to-target mappings) to enable AI interpretability and semantic tagging.
- Intermediate to advanced data analysis skills and tools such as MS SQL (SSMS), Teradata, and MS Excel.
- Strong analytical and problem-solving capabilities.
- Strong communication skills (written, verbal, presentation).
- Ability to engage business and data stakeholders to resolve questions or issues.
- Ability to strategize across complex, cross-functional projects and initiatives.
- Self-driven with ability to function with minimal direction.
- Ability to manage multiple and competing priorities in a fast-paced environment.
- Quick learner and team player.
- 5+ years' experience as a Data Steward.
- 5+ years' experience in the Healthcare industry.
- Experience in Agile methodology.
- Experience stewarding/supporting AI-assisted data tagging, classification, or metadata enrichment capabilities.
- Experience with data governance tools, particularly Collibra DI and DQ.
- Experience with commercial healthcare products.
Cigna Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cigna and has not been reviewed or approved by Cigna.
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Strong & Reliable Incentives — Strong bonus outcomes are frequently highlighted, with annual bonuses described as really good alongside above-average salary levels. Stock or long-term incentive elements are also noted as part of the overall package in some roles.
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Leave & Time Off Breadth — Time-off benefits are portrayed as a meaningful part of total rewards, including generous PTO and flexibility that can enhance the perceived value of compensation. Flexible work-from-home arrangements are repeatedly linked with satisfaction about the overall package.
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Healthcare Strength — Health coverage is described as broad in design, with preventive care often covered at no charge in-network and options like virtual care and wellness incentives. A large provider network and strong digital tools are positioned as practical advantages when using benefits.
Cigna Insights
What We Do
At Cigna, we're more than a health insurance company. We are your partner in total health and wellness. And we’re here for you 24/7 – caring for your body and mind. As a global health service company, Cigna's mission is to improve the health, well-being, and peace of mind of those we serve by making health care simple, affordable, and predictable. Our values are the core of our culture. Our values guide how all 74,000 of us around the world work together, serve our customers, patients, clients, communities, and deliver on our mission.
