Associate Vice President, Data Science and Analytics
Job Description:
• 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
• 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
• 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
• 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
• 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
Requirements:
• 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
Benefits:
• 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
• many other opportunities
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• 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
• 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
• 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
• 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
• 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
Requirements:
• 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
Benefits:
• 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
• many other opportunities
Apply tot his job
Apply To this Job