Lead Director – Finance Reporting, AI/ML Transformation

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🕒 Yesterday

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Logo of CVS Health

CVS Health

10,000+ employees

Founded 1963

⚕️ Healthcare Insurance

🛒 Retail

🧘 Wellness

Healthcare Insurance • Retail • Wellness

CVS Health is a leading American healthcare company dedicated to improving health access and affordability. The company focuses on a comprehensive approach that includes health services, health insurance, and pharmacy benefits management. Through its subsidiaries, such as Aetna and CVS Caremark, CVS Health offers a range of services that facilitate wellness, condition management, and affordable prescription drug coverage. CVS Health operates neighborhood pharmacies, provides mail-order pharmacy services, and manages specialty medication programs, aiming to make healthcare convenient and accessible for everyone. Driven by a mission to connect people with essential care services, CVS Health is committed to fostering healthier communities and supporting the wellbeing of all individuals.

📋 Description

• Lead and mentor teams responsible for reporting modernization and AI/ML-enabled process transformation • Set strategic direction and execution standards for reporting, analytics, and automation initiatives • Develop and implement transformation strategies aligned with enterprise goals and business priorities • Ensure teams are appropriately skilled, trained, and enabled to deliver modern reporting and AI/ML solutions • Drive standardization, simplification, and automation of reporting processes across functions • Establish scalable reporting and analytics frameworks that improve transparency, speed, and decision quality • Partner with Finance and business stakeholders to define KPI frameworks and performance measurement models • Identify and deliver AI/ML use cases that improve efficiency, accuracy, and insight generation • Oversee multiple transformation initiatives and workstreams, balancing priorities and dependencies • Communicate progress, insights, and value delivered through reporting and AI/ML initiatives

🎯 Requirements

• Minimum 10 years of hands-on experience in data engineering • Minimum 4 years of relevant work experience within a large, complex organization • Minimum 1 year of experience delivering Generative AI applications into production • Strong understanding of reporting, analytics, and data-driven decision-making within Finance or enterprise functions • Familiarity with modern data platforms, reporting tools, and analytics ecosystems • Related Cloud certification (e.g. GCP, AWS, Azure) • Hands-on experience on BigQuery and/or Databricks is highly preferred • Bachelor’s degree in Finance, Business Administration, Data Analytics, Information Technology, or related field; equivalent years of related professional work experience may substitute • Advanced degree or certifications in analytics, data science, or transformation disciplines preferred

🏖️ Benefits

• medical, dental, and vision coverage • paid time off • retirement savings options • wellness programs • other resources, based on eligibility

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