Head of Data Products - Cigna Healthcare

Cigna Healthcare is a global health service company dedicated to transforming healthcare. With roots in the U.S. and operations in over 30 countries, we serve more than 180 million customers and patients worldwide. Ranked 13th on the Fortune 500 in 2025, Cigna is recognized as one of the most trusted and influential names in the industry.

Our mission is to improve the health, well-being, and peace of mind of those we serve.

Join our globally recognized brand, where trust, communication, and a positive culture are at the core of everything we do. Our leadership is consistent, approachable, and supportive-ensuring your well-being and work-life balance.

We're looking for individuals who thrive in collaborative environments, are passionate about meaningful change, and want to grow in a company that puts people first.

At Cigna, you'll be part of a purpose-driven team that values innovation, compassion, and impact. Whether you're shaping better care experiences or supporting customers through life's key moments, your work will matter.

Grow with us-and help shape the future of healthcare.

The Head of Data & AI Products is responsible for defining and executing the enterprise data, analytics, and artificial intelligence strategy across International Health markets.

This role provides leadership for Data Product Ownership, Data Engineering, Data-related AI enablement, operational support models, and organizational capability development. The position serves as the key liaison between business leaders, CIOs, and regional stakeholders to ensure data and AI capabilities drive measurable business value while maintaining operational excellence.

The role leads a globally distributed team and is accountable for establishing a scalable operating model, driving data product ownership maturity, ensuring clear lifecycle ownership, and overseeing financial performance across the Data & AI portfolio.

Key Responsibilities:

• Lead the Data Product Owner organization across International Health markets and lines of business.
• Establish and mature a business-aligned Data Product Ownership framework focused on delivering measurable business outcomes.
• Define ownership models, accountabilities, and success measures for enterprise data products.
• Partner with business stakeholders to prioritize investments and align data capabilities with strategic objectives.
• Drive adoption of Data as a Product principles across the organization.

• Define and maintain the Data & AI operating model.
• Establish and maintain RACI models clarifying accountability across: Data Product Ownership Data Lifecycle Ownership Data Engineering Production Support AI Solutions
• Ensure alignment between business, technology, and operational support functions.

• Partner with Data Engineering leadership to establish efficient intake, delivery, deployment, and support processes.
• Clarify ownership boundaries across development, production support, incident management, and lifecycle management.
• Drive continuous improvement initiatives focused on operational efficiency, reliability, automation, and scalability.
• Ensure successful transition of data products from development through production operations.

• Lead the Data & AI engagement model across multiple international markets and business units.
• Partner with regional CIOs and business leaders to prioritize market-specific requirements and investments.
• Establish sustainable support models balancing local market needs with enterprise standards.
• Provide leadership for strategic data and AI initiatives across International Health regions.

• Provide executive oversight for strategic automation initiatives, including CDI and GOP programs.
• Maintain governance processes for roadmap alignment, delivery readiness, demonstrations, risk management, and executive reporting.
• Ensure effective escalation and resolution of strategic risks, dependencies, and decisions.
• Drive transparency and accountability through regular stakeholder reviews and governance forums.

• Lead and develop a high-performing global Data & AI organization.
• Define organizational structure, workforce planning, and capability-building strategies.
• Partner with HR and executive leadership on talent acquisition, succession planning, promotions, and career development.
• Foster a culture of innovation, collaboration, accountability, and continuous improvement.
• Build leadership pipelines and develop future Data & AI leaders.

• Manage Data & AI portfolio financials, budgets, forecasting, and investment planning.
• Partner with finance teams and market leadership to ensure delivery against financial commitments and targets.
• Develop business cases and value realization frameworks for data and AI investments.
• Monitor performance metrics and optimize resource allocation to maximize business outcomes.

Qualifications:

• 10+ years of progressive leadership experience in Data, Analytics, AI, Technology, or Digital Transformation.
• Experience leading global, cross-functional teams in complex enterprise environments.
• Proven success building and scaling Data Product Management organizations.
• Experience partnering with Data Engineering, Architecture, and Business Leadership teams.
• Demonstrated experience establishing governance, operating models, and organizational transformation programs.
• Experience managing budgets, investment portfolios, and strategic planning activities.

• Healthcare or health insurance industry experience.
• Experience implementing Data as a Product operating models.
• Experience leading AI strategy, governance, and adoption initiatives.
• Background in agile product management, SAFe, Scrum, or related methodologies.
• Knowledge of data governance, master data management, cloud platforms, and modern analytics ecosystems.

• Strategic Thinking
• Executive Communication
• Organizational Leadership
• Business Partnership
• Financial Acumen
• Change Management
• Talent Development
• Data & AI Governance
• Product Management Excellence
• Operational Excellence
• Influence Without Authority
• Global Stakeholder Management

• Increased business adoption and value realization from Data & AI products.
• Clear ownership and accountability across the Data & AI ecosystem.
• Improved delivery efficiency and operational performance.
• Mature and scalable Data Product Ownership framework.
• Strong stakeholder satisfaction across business and technology functions.
• Achievement of financial, operational, and strategic Data & AI objectives.
• Growth and development of organizational capabilities and leadership bench strength.

• Competitive salary
• Multicultural and hybrid working environment
• Private Medical Insurance
• Employee Wellbeing Benefits
• Educational Development Program

Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.

If you require reasonable accommodation in completing the online application process, please email: SeeYourselfEMEA@cigna.com for support. Do not email SeeYourselfEMEA@cigna.com for an update on your application or to provide your resume as you will not receive a response.