The D&A leader will operate according to three guiding principles. The role centers on implementing a hub-and-spoke model where D&A Central brings together cross-CenterWell data products and AI capabilities that serve the entire organization, while businesses maintain ownership of their specific analytics needs – balancing efficiency and operational autonomy. The leader will also serve as a critical bridge to the enterprise, providing a unified point of contact that translates enterprise-wide standards into realistic policies and practices that fit business realities. Finally, the leader must foster a “One CenterWell Mindset” by identifying and pursuing opportunities that create value across the organization, while enabling and supporting each business to thrive.
Responsibilities include (but are not limited to) the following:
Core Responsibilities
Data Governance (Cross-CenterWell; Enterprise interface)
Represent CenterWell in Enterprise Data Governance forums; secure alignment and decision rights
Publish CenterWell governance playbook; establish stewardship, ownership, access controls, and issue resolution
Maintain CenterWell data catalog, business glossary, KPI dictionary, lineage, and quality standards for cross-CenterWell assets
Data Product & Strategy (Unified data & advanced self-service)
Partner with IT on unified data/platform strategy (UDAP) and guardrails for advanced self-service such as agentic, self-service analytics
Define standards and lifecycle for cross-CenterWell data products and feature stores; implement build-once approaches
Enable adoption through training, documentation, and support scaffolding
Develops and owns the cross-CenterWell interoperability strategy, enabling CenterWell businesses to access insights about their members both across the org, as well as external data from third party sources. Owns the interoperability integration strategy for standardly available data products for CenterWell stakeholders.
Shared Services Data & Reporting (Cross-CenterWell)
Stand up intake, triage, and prioritization for cross-CenterWell data requests; reduce duplicative effort
Deliver common reporting and product/process monitoring; support pipelines for CenterWell-wide analytics
Supports Cross-CenterWell teams/efforts with dedicated analytics and data needs
Measure value realization and continuously improve speed-to-insight
Advanced Data Science: AI/ML (Cross-CenterWell)
Jointly define, size, and prioritize predictive models and machine learning capabilities and backlog that maximizes value to CenterWell.
Maintain deep technical expertise in advanced data science and AI (i.e., predictive modeling, NLP, classification) to upskill teams across Centerwell through new opportunities and approaches
Implement MLOps across CenterWell, in partnership with Enterprise teams, and responsible AI (privacy, fairness, explainability); partner with Legal, Compliance and Security
Partner with Enterprise teams to deliver enterprise-ready models, influence cross-enterprise platforms (ex – Florence), and integrate workflows to drive adoption and outcomes
Stakeholder & Operating Model (Cross-CenterWell)
Establish clear interfaces, RACI, and escalation protocol across CenterWell D&A Central, BUs, and Enterprise
Champion the elevation of data science capabilities across CenterWell, providing upskilling and reusable data assets that enables distributed teams to focus on faster insight generation and more sophisticated, novel analytics
Build a community of practice and coach leaders/ICs; attract and grow top D&A talent
Required Qualifications
15+ years in Data and Analytics with demonstrated expertise in developing and deploying ML models in production environments
7+ years leading multi-disciplinary teams across complex enterprises
Proven success in cross-business engagement, data product development and strategy, shared services, and AI/ML
Healthcare experience with HIPAA/PHI; familiarity with HL7/FHIR; model risk management and interoperability strategies, infrastructure, and legal/compliance understanding
Hands-on with modern cloud data platforms and BI; strong communication and servant leadership
Ability to work Eastern Standard and Central Standard Time Zone
Preferred Qualifications
Master's Degree
PMP certification
Six Sigma Certification
Scheduled Weekly Hours
40Pay Range
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.
Description of Benefits
Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.Application Deadline: 03-26-2026
Equal Opportunity Employer
It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.