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For Companies At a Glance
- Tasks: Lead data analytics transformation and drive data-driven decision making.
- Company: Cigna Healthcare, a global leader in health services.
- Benefits: Competitive salary, private medical insurance, and educational development programs.
- Why this job: Make a real impact in healthcare through innovative data solutions.
- Qualifications: 10+ years in data analytics management, preferably in healthcare.
- Other info: Join a multicultural team with a hybrid working environment.
The predicted salary is between 72000 - 108000 ÂŁ per year.
Location: Glasgow, Scotland, United Kingdom
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.
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 holder will drive day‑to‑day operations of the D&A organization and transformative initiatives, developing Cigna IH markets’ ability to become more data‑driven through collaboration with IH leaders to generate insights. The role requires a balance of technical expertise, leadership in building highly collaborative teams, and business acumen to work with senior leaders to enable data‑driven decision making, optimize operational efficiencies, and create measurable business impact.
Functions under purview
- Data Strategy and Governance: Responsible for defining data lifecycle and governance framework, measuring data maturity, and improving data quality. Acts as the Agile product management layer of the data organization.
- Agile Data Product Ownership: Defines owners of data products that provide access to data and analytical tools for various IH business areas and audience ranges.
- Data Science and AI: Includes data analysts and scientists who apply advanced ML and GenAI algorithms for global and local use‑cases, supporting the transformation effort to broaden GenAI adoption.
- Data and Reporting Solutions: Industrialises the development and distribution of reports or dashboards, maintains and simplifies the BI and reporting tool landscape.
Job Responsibilities
- Strategic Leadership & Transformation: Define and execute a transformation roadmap for the Data Analytics unit, foster a culture of continuous learning, rapid experimentation, and data‑driven decision making, champion agile methodologies, and drive iterative development and cross‑functional collaboration.
- Team Development & Capability Building: Build and lead a high‑performing analytics team with expertise in data science, engineering, and AI, develop talent through mentorship, training, and upskilling, and ensure strong collaboration between data, technology, and other business teams.
- Data‑Driven Decision Making & Business Impact: Partner with business and technology leaders to drive adoption of data‑driven decision making, design and implement frameworks to measure and communicate the impact of analytics initiatives, and enhance data accessibility and self‑service analytics capabilities.
- Revamp D&A Operating Model: Design and implement transition of the D&A function to a Hybrid Data and Analytics model, build working relationships with local D&A leaders, and define direction of IH’s data strategy that serves both IH globally and local markets.
- Enhance D&A Delivery & 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 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.
- 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.
Benefits
- Competitive salary
- Multicultural and hybrid working environment
- Private Medical Insurance
- Employee Well‑being Benefits
- Educational Development Program
Other Information
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.
Seniority Level: Executive
Employment Type: Full‑time
Job Function: Business Development and Sales
Industry: Hospital and Health Care
Head of Data Analytics and Transformation IH in Glasgow employer: The Cigna Group
Contact Detail:
The Cigna Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Analytics and Transformation IH in Glasgow
✨Network Like a Pro
Get out there and connect with people in the industry! Attend events, join online forums, and don’t be shy about reaching out on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Ace the Interview
Prepare for your interviews by researching the company and practising common questions. We recommend using the STAR method to structure your answers – it helps you showcase your skills and experiences effectively. Remember, confidence is key!
✨Showcase Your Skills
Create a portfolio or a personal website to highlight your projects and achievements. This is especially important for roles in data analytics where demonstrating your technical skills can set you apart. We love seeing creativity and initiative!
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Cigna Healthcare.
We think you need these skills to ace Head of Data Analytics and Transformation IH in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Head of Data Analytics role. Highlight your experience in data strategy, team leadership, and transformation initiatives. We want to see how your skills align with our mission at Cigna Healthcare!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data analytics and how you can drive transformation. Be sure to mention specific examples from your past that demonstrate your expertise.
Showcase Your Technical Skills: Don’t forget to highlight your technical skills, especially in data science and business intelligence tools like Tableau or Power BI. We’re looking for someone who can lead our analytics team, so make sure we see your relevant experience!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Good luck!
How to prepare for a job interview at The Cigna Group
✨Know Your Data Inside Out
As the Head of Data Analytics, you’ll need to demonstrate a deep understanding of data strategies and governance. Brush up on your knowledge of data lifecycle management and be ready to discuss how you've improved data quality in previous roles.
✨Showcase Your Leadership Skills
This role requires strong leadership and team management abilities. Prepare examples of how you've built high-performing teams and fostered collaboration across departments. Highlight your experience in mentoring and developing talent within analytics teams.
✨Communicate Clearly and Effectively
You’ll be working with both technical and non-technical stakeholders, so practice explaining complex data concepts in simple terms. Think of examples where you successfully communicated data insights that drove decision-making at a senior level.
✨Stay Ahead of Trends
Cigna values innovation, so be prepared to discuss emerging trends in data analytics and how they can impact the healthcare industry. Research recent advancements in AI and machine learning, and think about how you could implement these in your role.
