Vice President- Data & Platform Engineering- Evernorth

The Cigna Group•New York, NY

4d•$276,400 - $414,600•Remote

About The Position

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.

Requirements

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.

Responsibilities

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.
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.
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.
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.
Lead budget, vendor strategy, and platform investment decisions, driving cost efficiency through shared services and platform reuse.
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.
Partner with CIOs, business leaders, and enterprise stakeholders to align platform capabilities to business outcomes, shaping major investment decisions and strategic direction.