Vice President- Data & Platform Engineering- Evernorth

** Role

Summary:

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* We are seeking a transformational Vice President of Data & Platform Engineering to lead the enterprise data and analytics foundation for a Fortune 15 healthcare leader.  This role sits at the center of the company's strategy to scale AI, advanced analytics, and data-driven decision-making, with accountability for building and operating the platforms and data products that power the business-from clinical insights and personalization to affordability and operational excellence.  

As a senior leader within Technology Shared Services, you will serve as a horizontal enterprise enabler, shaping the future of how data is governed, delivered, and consumed across the organization.  Reporting to the Chief Platforms, Data & AI engineering officer, this is a high-impact leadership role created to unify fragmented data engineering, analytics platforms, and governance capabilities into a single, enterprise-scale function.  

You will build and scale a modern, AI-ready data ecosystem, establish trusted, reusable data products across all business domains, drive a shift from siloed delivery to a platform-based, outcome-driven operating model and enable safe, scalable AI adoption with governance embedded by design.  This is a rare opportunity to shape the data and platform backbone of a leading healthcare enterprise and directly influence enterprise strategy and outcomes.  

You will play a defining role in future-proofing the company's data ecosystem, enabling scalable innovation while ensuring trust, security, and responsible use of data.

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* Key Responsibilities:

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* ** Enterprise Data & Platform Leadership*
* + Define and execute the enterprise data and analytics platform strategy, aligning platforms, architecture, and investments to business priorities (clinical, operational, financial, and customer outcomes).

+ Establish standards, guardrails, and reusable capabilities to enable scalable, self-service use of data and analytics platforms.

** Foundational Data Products*
* + Own the strategy and lifecycle of foundational analytical data products as enterprise assets supporting reporting, analytics, and AI across all business units.

+ Ensure data products are trusted, governed, and reusable at scale.

** Data & Analytics Platform Engineering*
* + Lead a unified organization spanning data engineering and analytics platforms, bringing together historically separate capabilities under one operating model.

+ Oversee enterprise platforms including data lakehouse, BI, semantic layer, and AI enablement services.

** Governance, Risk, and Monetization*
* + Own platform-level enablement of data governance, quality, and lineage, privacy, security, and regulatory compliance, data risk management and data monetization capabilities

+ Embed governance and controls to support responsible, compliant AI and analytics at scale.

** Financial & Operational Stewardship*
* + Lead budget, vendor strategy, and platform investment decisions, driving cost efficiency through shared services and platform reuse.

** Organizational Leadership*
* + Lead a large, global organization of engineering and platform leaders, building a high-performance culture aligned to product and platform operating models.

+ Develop bench strength, succession pipelines, and differentiated talent to support future platform and AI priorities.

** Executive Partnership & Influence*
* + Partner with CIOs, business leaders, and enterprise stakeholders to align platform capabilities to business outcomes, shaping major investment decisions and strategic direction.

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* Preferred Qualifications:

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* + 15+ years leading enterprise data, analytics, or platform engineering organizations;
Bachelor's degree required;
Master's degree preferred.

+ Proven experience building modern data platforms and enterprise data products.

+ Deep expertise in cloud, data engineering, AI/ML, and governance.

+ Strong experience operating in regulated industries (healthcare preferred).

+ Demonstrated ability to influence C-suite and enterprise-level stakeholders.

+ A track record of driving enterprise transformation at scale, not just functional excellence.

If you will be working at home occasionally or…