Lead Director – Finance Reporting and AI​/ML Transformation

Position Summary

As a Lead Director – Finance Reporting & AI/ML Transformation at CVS Health®, you will lead strategic initiatives focused on modernizing reporting, analytics, and decision‑support capabilities across Finance and adjacent functions. This role drives transformation through advanced reporting architectures, data platforms, and AI/ML to automate, optimize, and enhance business processes.

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.

Lead modernization of enterprise reporting, dashboards, and management information. 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. Drive adoption of advanced analytics, predictive modeling, and intelligent automation in Finance processes. Collaborate with data, technology, and business teams to embed AI/ML into end‑to‑end workflows. Ensure responsible, explainable, and scalable deployment of AI/ML solutions.

Oversee multiple transformation initiatives and work streams, balancing priorities and dependencies. Establish governance, metrics, and reporting to track progress and value realization. Manage and support multiple projects or tasks and prioritize work effectively. Work independently and present solutions to stakeholders and leaders to support decision making.

Identify opportunities for continuous improvement in reporting, analytics, and process automation. Partner with technology vendors and internal teams to adopt best‑in‑class tools and platforms. Stay current with emerging trends in AI/ML, analytics, and reporting technologies and assess applicability. Conduct periodic reviews to ensure solutions remain efficient, scalable, and aligned with business needs.

Engage senior Finance and business leaders to understand requirements and shape transformation roadmaps. Communicate progress, insights, and value delivered through reporting and AI/ML initiatives. Build strong partnerships across Finance, IT, Data, and business teams to drive adoption and impact.

• 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
• Willingness to travel 10% (including plane) based on project needs

• 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 Big Query 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.

The typical pay range for this role is $ – $. The actual base salary will depend on experience, education, geography, and other factors. This role may also include bonus, commission or short‑term incentive programs and equity award program.

Full‑time position eligible for a comprehensive benefits package that includes medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources based on eligibility.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Application window closes on 07/01/2026.