Lead Director – Finance Reporting and AI/ML Transformation

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

Position Summary:

As a Lead Director – Finance Reporting & AI/ML Transformation, you will lead strategic initiatives focused on modernizing reporting, analytics, and decision-support capabilities across Finance and adjacent functions. This role will allow you to drive transformation through advanced reporting architectures, data platforms, and the application of AI/ML to automate, optimize, and enhance business processes. You will be recognized as a strong leader and strategic thinker with deep experience in reporting transformation, data-driven operating models, and emerging analytics technologies.

Key Responsibilities

Leadership & Team Management

• 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.

Reporting & Analytics Transformation

• Lead the 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.

AI/ML Process Transformation

• 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.

Program & Delivery Management

• Oversee multiple transformation initiatives and workstreams, balancing priorities and dependencies.

• Establish governance, metrics, and reporting to track progress and value realization.

• Ability to manage and support multiple projects or tasks and prioritize work effectively.

• Ability to work independently and present solutions to stakeholders and leaders to support decision making.

Continuous Improvement & Innovation

• Identify opportunities for continuous improvement in reporting, analytics, and process automation.

• Partners 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.

Stakeholder Engagement

• 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.

Required Qualifications:

• 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

Preferred Qualifications:

• 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

Education:

• 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

Pay Range

The typical pay range for this role is:

$100,000.00 - $231,540.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls.  The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors.  This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.  This position also includes an award target in the company’s equity award program.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 06/02/2026

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