Evernorth’s Finance Data Office is leading the Finance Forward strategy to build a faster, data-driven finance organization. The Senior Manager, AI & Analytics role will drive business-focused analytics, reporting modernization, and AI experimentation from the Evernorth GCC in Hyderabad. You will guide a team of 5–7 professionals, working closely with Finance and Technology leaders across the U.S. and India to turn data and automation opportunities into measurable results.

About the Finance Data Office

The Finance Data Office (FDO) drives modernization across three connected pillars:

• Data Strategy (VISTA – Value-driven Insights for Strategic Transformation & Analytics): Defines finance data standards, governance, and a trusted single source of truth.
  • Process Reengineering (POET – Process Optimization through the Enablement of Technology): Streamlines and automates core finance processes to improve speed and control.
  • AI & Analytics: Modernizes finance reporting, applies advanced analytics, and enables data-driven decision making across Finance.
  
  These pillars work together to advance Finance Forward, Evernorth’s program to create a modern, digital finance ecosystem.

Role Overview

You will execute Evernorth’s Finance AI and analytics strategy. The role requires strong finance knowledge, analytical expertise, and the ability to connect business goals to data and technology solutions. This is a business role that works in close partnership with enterprise technology teams for implementation and scale.

Key Responsibilities

AI & Analytics Delivery
• Lead business-driven analytics and AI initiatives that support Finance priorities.
• Review and assess new AI ideas, run feasibility reviews, and lead proof-of-concept work in controlled sandbox environments to confirm value and ROI.
• After validation, work with technology teams for implementation and production rollout.
• Design and deliver BI and reporting solutions end-to-end, including dashboards, KPIs, and self-service reporting, with tech support as needed.
• Drive modernization and simplification of Finance reporting to improve speed, accuracy, and transparency.
• Use enterprise tools such as Microsoft Fabric, Databricks, Denodo, and Power BI to deliver insights that support forecasting, allocations, planning, and performance management.

Cross-Pillar Collaboration
• Partner with the Data Strategy (VISTA) and Process Reengineering (POET) teams to deliver integrated data, process, and analytics solutions.
• Work with GCC Finance, Technology, Platform Engineering, AI CoE, HUB, and Enterprise Architecture to ensure scalable and compliant delivery.
• Maintain strong cross collaboration between teams for alignment and reuse of analytics and AI assets.

Governance & Value Realization
• Apply standards for responsible AI use, documentation, and governance.
• Track and report outcomes such as shorter cycle times, higher forecast accuracy, and reduced manual effort.
• Protect sensitive finance data and uphold enterprise privacy and control requirements.

Leadership & Capability Building
• Manage and coach a 5–7-member team of data scientists, BI developers, and automation specialists.
• Build local capability in analytics and automation through training and mentorship.
• Promote a culture of innovation and continuous improvement across the Finance Data Office.

Qualifications & Experience

• 13-16 years in analytics, data science, or business intelligence with at least 5 years in a leadership or lead role.
  • Experience delivering analytics or automation initiatives for Finance functions.
  • Knowledge of finance data domains such as general ledger, allocations, forecasting, and planning.
  • Strong skills in tools like Power BI, Databricks, Microsoft Fabric, and Denodo.
  • Familiarity with AI/ML frameworks (Python, TensorFlow, Azure ML) and emerging GenAI and automation tools.
  • Experience managing teams across geographies and collaborating across time zones.
  • Certifications such as Azure AI Engineer or Data Science Professional are a plus.
  • Strong communication and stakeholder management skills.

Success Profile

• Delivers measurable value from analytics and automation.
  • Balances strategy with hands-on problem solving.
  • Builds and mentors a capable analytics team.
  • Works seamlessly with enterprise technology teams to bring validated ideas to scale.
  • Operates with accountability, discipline, and focus on business impact.
  • Advances the Finance Data Office mission to connect data, process, and analytics for a smarter Finance function.

About Evernorth Health Services