[Hiring] Manager, Operational Excellence Analytics @CVS Health

Role Description

The Manager of Operational Excellence Analytics is a key member of the Operational Excellence organization, responsible for owning the data architecture, advanced analytical models, and AI products that power decision-making across the CVS Distribution Center network. This role sits at the intersection of analytics engineering, advanced modeling, and applied AI — translating raw warehouse, labor management, and transportation data into productized datasets, semantic models, automation flows, and intelligent tools that operators, planners, and OpEx colleagues use every day to drive efficiency at scale. The role partners closely with IT’s Data Engineering and Data Science organizations while owning the OpEx-specific data architecture, automation, and AI development that drives operational improvement. The individual will also serve as a technical mentor to the broader OpEx organization — coaching colleagues across the network on data-driven problem solving and the proper use of data and AI tools. Role will be expected to travel ~20-30% of which 80% will be self-managed timing/location.

Key Responsibilities

• Data Architecture, Modeling & AI Development
  • Design and maintain the OpEx semantic data layer in Snowflake.
  • Develop and deploy advanced analytical models (forecasting, optimization, anomaly detection, classification) and AI/ML applications.
  • Build and maintain automation flows (Power Automate, Python, low-code tooling).
  • Develop network-level PowerBI dashboards on top of the semantic layer.
  • Partner with IT Data Engineering and Data Science teams on platform design and shared infrastructure.
• Process Optimization Through Data
  • Use data, modeling, and AI to optimize WMS/LMS settings and configurations.
  • Partner with routing, transportation, and inventory teams to identify optimization opportunities.
  • Translate analytical findings into actionable recommendations for leadership.
  • Support root cause analysis and corrective action efforts using statistical methods.
• Field Enablement & Mentorship
  • Train OpEx colleagues and leadership on developed tools and data-driven methods.
  • Mentor OpEx colleagues on advanced analytical techniques.
  • Develop and maintain documentation and learning paths for data literacy and AI fluency.
  • Serve as a technical advisor on cross-functional projects.
• Project & Change Management
  • Plan and execute multiple projects in parallel using strong project management discipline.
  • Build the financial business case and project plan for proposed changes.
  • Communicate effectively across technical and non-technical audiences.

Qualifications

• Bachelor’s degree in Industrial Engineering, Computer Science, Data Science, or related field, or an additional 4 years of experience in lieu of the WMS/LMS, SQL, and lean/CI requirements.
• 3+ years experience in a manufacturing or distribution center environment.
• 2+ years experience with WMS and/or LMS systems and database structure.
• 1+ years working directly with lean, process improvement, continuous improvement, or similar.

Requirements

• 5+ years experience in a manufacturing or distribution center environment (preferred).
• 2+ years experience deploying production AI/ML or generative AI applications.
• 3+ years experience with semantic layer design and SQL.
• 2+ years experience developing in PowerBI.
• Experience with analytics engineering tools and transformation frameworks.
• Experience with workflow and process automation tools.
• Strong programming and scripting skills (Python, SQL, or similar).
• Strong interpersonal & communication skills.
• 2+ years of demonstrated success in managing projects.
• APICS CPIM, CSCP, or CLTD Certified.
• Six Sigma Green Belt Certified.
• Experience working with a larger corporation and counterparts in other remote locations.

Benefits

• Comprehensive benefits package designed to support physical, emotional, and financial well-being.
• Medical, dental, and vision coverage.
• Paid time off.
• Retirement savings options.
• Wellness programs and other resources.