Business Analytics Senior Manager – Trend Analytics & Risk Ecosystem

Cigna Healthcare is dedicated to improving health and vitality, and they are seeking a Business Analytics Senior Manager to lead trend analysis capabilities that drive healthcare cost and affordability insights. The role involves translating complex data into actionable insights, partnering with various stakeholders, and leading a high-performing analytics team.

Responsibilities:

• Lead the design and implementation of enterprise‑level clinical risk and affordability indicators that strengthen the Cigna Healthcare Risk Ecosystem and inform cost‑of‑care strategy
• Translate complex clinical, claims, and trend research into compelling insights that guide business action and executive decision‑making
• Uncover and explain relationships between key cost and clinical drivers, including authorizations, diagnostic categories, episodes of care, and utilization patterns
• Partner closely with clinical, financial, and operational stakeholders to build meaningful analytics capabilities, performance indicators, and decision tools
• Apply advanced analytics, predictive models, and AI techniques to evaluate member‑level data and develop new methods for anomaly detection and risk identification
• Influence affordability outcomes by enhancing predictive capabilities that identify savings opportunities and engagement strategies
• Monitor and evaluate external data sources to inform trend narratives, projections, and long‑term affordability planning
• Leverage large, complex datasets by collaborating with data engineering, technology, and visualization teams to deliver scalable, high‑impact solutions
• Recruit, develop, and lead a high‑performing team of analytical innovators, fostering a culture of curiosity, accountability, and continuous learning

Requirements:

• Minimum of 6 years of experience in data analytics, actuarial science, predictive modeling, or a related discipline, with demonstrated impact in healthcare or a similarly complex environment
• At least 2 years of people leadership experience, with a proven ability to inspire performance and develop analytical talent
• Strong expertise at the intersection of clinical data and predictive techniques, with hands-on experience using tools such as SQL, Python, SAS, Alteryx, or similar platforms
• Solid understanding of key clinical data concepts, including CPTs, DRGs, service categories, and episodes of care
• Strong communication skills with the ability to clearly explain complex analyses to senior leaders and diverse stakeholders
• Demonstrated success leading and influencing in a matrixed organization through collaboration rather than authority
• Bachelor's degree preferred; advanced degree or professional training in analytics, healthcare, or related fields is a plus
• Deep familiarity with U.S. healthcare dynamics, including provider data, claims data, health plan performance, cost drivers, and quality objectives
• Experience shaping enterprise analytics strategies or risk ecosystems that influence affordability and care delivery decisions
• A leadership style that promotes accountability, innovation, and a high-performance, purpose-driven culture