Lead Director - Finance Reporting and AI/ML Transformation

Role Description

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.
  • 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.
• 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.

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.

Benefits

• Comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families.
• Medical, dental, and vision coverage.
• Paid time off.
• Retirement savings options.
• Wellness programs and other resources, based on eligibility.