Lead Director – Finance Reporting and AI/ML Transformation

Key Responsibilities

• 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 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.
• 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 workstreams, balancing priorities and dependencies.
• Establish governance, metrics, and reporting to track progress and value realization.
• Able to manage and support multiple projects or tasks and prioritize work effectively.
• Able to work independently and present solutions to stakeholders and leaders to support decision making.
• 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.
• 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.