Head of Data Analytics and Transformation IH

About 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.

About The Role

Reporting to the Chief Technology Officer for IH, the Head of Data Analytics will lead the evolution of our Data & Analytics organization. The job holder will drive the day-to-day operations of the D&A organization and the transformative initiatives to develop Cigna IH markets' ability to become more data driven by collaborating with the IH leaders to generate insights. A key success factor of those transformative initiatives is the definition of the collaborative and multi-disciplinary team model to develop and exploit insights from data, define and implement data and analytics strategies adapted for our different businesses. This will be achieved by adoption of Agile ways of working, enhancing testing and scaling the use of advanced machine learning techniques, including GenAI, and working closely with pluri-disciplinary teams across Cigna IH.

The role requires a balance of technical expertise, leadership in building highly collaborative teams and business acumen to work with senior leaders of markets to enable data-driven decision making, optimize operational efficiencies and create measurable business impact through improved use of data.

The ideal candidate will have a strong background in analytics, understanding how organizations leverage data and analytics to inform their business. Candidate will have demonstrated knowledge of data management (including enabling data quality), data analytics, AI, LLMs, and business intelligence, related technology, and overall understanding of managing technology and working with technology functions. A good grasp of the spectrum of data regulations and their implications for Cigna IH is required.

The candidate must have a proven track record of leading transformation initiatives in D&A, demonstrated ability to make an organization operate at a global level and build and operate hybrid D&A models that can serve local/domestic market organizations. Ability to build highly collaborative teams and transforming teams' way of working is key to consider the role of the D&A teams in the implementation of GenAI solutions and assessing how the D&A organization must change because of the advent of GenAI how it will change the roles of the D&A organization.

Candidate must be solutions oriented, self-starter, curious, and demonstrate servant-management character traits to support the adoption of Agile ways of working. This role is crucial in contributing to shape the future of D&A within our organization, ensuring data integrity, and structuring a Data and Analytics organization that functions in a hybrid model.

Functions under purview

The Head of Data Analytics
will directly supervise 4 main functions and closely collaborate with 2 more
(cloud engineering, Medical Economics). The 4 functions under direct supervision are:

Data Strategy and Governance
This function is responsible for defining data lifecycle and data governance framework that helps the IH organization leaders measure their functions' level of maturity in its use of data, the quality and integrity of the available data and define the action plans to initiate to improve. It acts as the Agile Product Management layer of the data organization. This function also includes the data engineering function in charge of data mapping in the mindset of Agile and creating more autonomous teams.

Agile Data Product Ownership
The agile product ownership defines owners of "data products" that facilitate access to data and analytical tools for specific areas of the IH business and varying ranges of audiences who need that data to effectively perform their role. Agile Data Product Owners are charged with leading the IH organization in generating actionable insights from the available data or ensuring that data is ready for consumption for purpose of exploration, analysis or reporting purposes in local, central D&A teams or other teams by managing the data-related backlog for the value streams or portfolios.

Data Science and AI
This function includes data analysts and data scientists tasked to apply concepts and algorithms to design the models that help IH organization analyse data and enable insights generation from the use of the most advanced ML algorithms (including GenAI) for both global and local use-cases. This function will support the transformation effort to make GenAI a more broadly accepted and used technology in IH.

Data and Reporting Solutions
This function industrializes the development and distribution/availability of reports or dashboards for internal and external consumption. This function is also in charge of maintaining and simplifying the BI and reporting tool landscape.

Job Responsibilities:

• Strategic Leadership & Transformation:
  Define and execute a transformation roadmap for the Data Analytics unit to improve operational efficiency and agile innovation. Foster a culture of continuous learning, rapid experimentation and data driven decision making. Champion agile methodologies, driving iterative development and cross-functional collaboration.

• Team Development & Capability Building:
  Build and lead high-performing analytics team with expertise in data science, engineering and AI. Develop talent within the team through mentorship, training and upskilling in modern analytics and AI methodologies. Ensure strong collaboration between data, technology and other business teams to drive alignment and impact.

• Data-Driven Decision Making & Business Impact:
  Partner with business and technology leaders to drive adoption of data-driven decision making across the organization. Design and implement frameworks to measure and communicate the impact of analytics initiatives. En

hance data accessibility and self-service analytics capabilities to empower business users.

• Revamp D&A Operating Model:
  Design and implement transition of the D&A function from its current state to a Hybrid Data and Analytics function by working with the regional and local D&A teams. Build working relationship with local D&A leaders to define direction of IH's data strategy that serves both IH globally and enable market D&A leaders and local D&A teams

• Enhance D&A Delivery & Reporting

• Data Analysis and Reporting:
  Oversee the development and delivery of data analytics projects, ensuring they meet business requirements and deadlines.

• D&A tooling:
  Oversee and manage the implementation of business intelligence tools and data hosting platforms to support data-driven decision-making.

• Data Integration and Management:
  Optimize working model that oversees the integration of data from various sources, including internal systems and external partners with the Data Engineering and Cloud Engineering teams.

Collaborate with the Cloud Engineering and Architecture teams to:

• Define roadmap for data warehousing and data lake solutions to support analytics and reporting needs.

• Define blueprint for data ingestion from simple ETL to data streaming models.

• Stakeholder Engagement:

  • Build and maintain strong relationships with internal stakeholders, including senior management, to understand their data needs and help generate relevant and actionable insights.

  • Communicate complex data findings in a clear and concise manner to both technical and non-technical audiences.

  • Innovation and Technology:

  • Stay abreast of emerging trends and technologies in data and analytics.
  • Evaluate and implement new tools and technologies that enhance our data capabilities.

  Skills/Qualities:

  • Wider business acumen and strategic thinking mindset.
  • Results-driven execution orientation.
  • Ability to effectively collaborate with all levels of stakeholders including C-level.
  • Excellent problem solving and analytical skills.
  • Ability to operate in context of ambiguity
  • Operate and influence across regions in a global multi-cultural work context.
  • Strong knowledge and experience in Agile transformation and experience in working with Agile methodologies.
  • Demonstrated ability to engage work and manage technology teams and workstreams
  • High levels of initiative with a proactive and solutions driven approach.
  • Ability to communicate at a high level and explain concepts in a clear and concise fashion while being detail-oriented and organized in execution.
  • Ability to research, prepare and deliver internal presentations in a range of formats and settings.
  • Excellent negotiation, influencing and persuasive skills.
  • Able to operate as a respected and influential member of the Technology and D&A leadership team with demonstrated ability in influencing, motivating, coaching and consulting.

  Experience/Qualifications Required:

  • Proven 10+ year experience in a technology, data and analytics management role, preferably within the healthcare or health insurance industry. Experience in driving transformation within a data analytics or technology function.
  • Self-starter mentality with can-do attitude.
  • Strong leadership and team management skills.
  • Excellent analytical and problem-solving abilities.
  • Experience with business intelligence tools, such as Tableau, Power BI, or Qlik.
  • Knowledge of data governance frameworks and best practices.
  • Strong communication and stakeholder management skills.
  • Ability to work in a fast-paced, international environment
  • In depth knowledge of the Health Insurance business and data and analytics needs

  Why You'll Love Working here

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

  About Cigna Healthcare
  Cigna Healthcare, a division of The Cigna Group, is an advocate for better health through every stage of life. We guide our customers through the health care system, empowering them with the information and insight they need to make the best choices for improving their health and vitality. Join us in driving growth and improving lives.

  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: for support. Do not email for an update on your application or to provide your resume as you will not receive a response.