Lead Director – Finance Reporting and AI/ML Transformation
Listed on 2026-07-01
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IT/Tech
Data Analyst, Data Engineering, Data Science Manager, AI Engineer (Applied/Software)
Lead Director – Finance Reporting & 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.
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- 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 work streams, 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.
- 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…
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