Lead Director – Finance Reporting and AI/ML Transformation

CVS Health•St. David's, CT

About The Position

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.

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
Bachelor’s degree in Finance, Business Administration, Data Analytics, Information Technology, or related field; equivalent years of related professional work experience may substitute

Nice To Haves

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
Advanced degree or certifications in analytics, data science, or transformation disciplines preferred

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.
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.
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.