Executive Director, Data Engineering - Retail Analytics

CVS Health•Woonsocket, RI

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 The Executive Director, Data Engineering serves as a senior technology leader within Analytics Engineering, responsible for defining and executing the data engineering strategy that powers CVS Health's Retail analytics ecosystem. This role leads a large, multi-disciplinary engineering organization focused on designing, building, and scaling enterprise data platforms, AI products, and engineering capabilities that support Retail Pharmacy, Front Store, Retail Supply Chain, Merchandising, Personalization, Pricing, Marketing, and Operational analytics initiatives. This leader partners closely with Data Science, Product, Analytics, Architecture, and business stakeholders to deliver reliable, scalable, cloud-based data solutions that accelerate insight generation and enable advanced analytics and AI-driven decision-making. The Executive Director drives engineering excellence, talent development, platform modernization, and operational rigor while ensuring alignment with enterprise technology strategy and business priorities.

Requirements

15+ years of progressive experience in Data Engineering, Software Engineering, Analytics Engineering, or related technology disciplines.
7+ years of experience leading large engineering organizations through multiple layers of leadership.
Proven experience designing and delivering enterprise-scale data platforms, data products, and cloud-native engineering solutions.
Deep expertise in modern data engineering practices, including data pipelines, distributed processing, cloud platforms, data governance, and platform reliability.
Demonstrated success partnering with Analytics, Data Science, Product, and business organizations to translate complex business needs into scalable technology solutions.
Strong experience leading large transformation initiatives, platform modernization efforts, and organizational change.
Adept at execution and delivery, including strategic planning, roadmap development, and operational management.
Adept at business intelligence and data-driven decision making.
Mastery of collaboration, stakeholder management, and executive communication.
Mastery of problem solving, strategic thinking, and organizational leadership.
Mastery of growth mindset principles with a demonstrated ability to develop leaders and build high-performing teams.
Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, Statistics, or a related quantitative field required.

Nice To Haves

Experience supporting Retail, Pharmacy, Merchandising, Supply Chain, Marketing, Consumer, or Omnichannel analytics environments.
Experience building and scaling enterprise data products, feature stores, real-time data solutions, or analytics enablement platforms.
Strong knowledge of cloud-based data ecosystems, platform engineering, DevOps, DataOps, and engineering best practices.
Experience enabling AI, machine learning, and advanced analytics solutions through robust data engineering capabilities.
Experience operating within a highly regulated, large-scale enterprise environment.
Demonstrated ability to influence senior executives and drive alignment across complex organizational structures.
Track record of building engineering cultures centered on innovation, accountability, continuous improvement, and delivery excellence.
Master's degree in Computer Science, Engineering, Business Administration, Data Science, or a related discipline preferred.

Responsibilities

Defining and executing the data engineering strategy that powers CVS Health's Retail analytics ecosystem.
Leading a large, multi-disciplinary engineering organization focused on designing, building, and scaling enterprise data platforms, AI products, and engineering capabilities.
Supporting Retail Pharmacy, Front Store, Retail Supply Chain, Merchandising, Personalization, Pricing, Marketing, and Operational analytics initiatives.
Partnering closely with Data Science, Product, Analytics, Architecture, and business stakeholders to deliver reliable, scalable, cloud-based data solutions.
Accelerating insight generation and enabling advanced analytics and AI-driven decision-making.
Driving engineering excellence, talent development, platform modernization, and operational rigor.
Ensuring alignment with enterprise technology strategy and business priorities.