Manager, Operational Excellence Analytics
Posted 8hrs ago
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Job Description
Manager of Operational Excellence Analytics responsible for data architecture and AI modeling at CVS Health. Collaborating with IT and mentoring teams to improve operational efficiency.
Responsibilities:
- Design and maintain the OpEx semantic data layer in Snowflake — building productized datasets that serve as the trusted source for OpEx reporting, modeling, and AI applications across the network.
- Develop and deploy advanced analytical models (forecasting, optimization, anomaly detection, classification) and AI/ML applications that solve operational problems across the DC network.
- Build and maintain automation flows (Power Automate, Python, low-code tooling) that eliminate manual reporting, data preparation, and analysis effort across the OpEx organization.
- Develop network-level PowerBI dashboards on top of the semantic layer to support daily management, performance management, and process improvement at both site and network levels.
- Partner with IT Data Engineering and Data Science teams on platform design, source system integrations, and shared infrastructure — ensuring OpEx requirements are well represented.
- Use data, modeling, and AI to optimize WMS/LMS settings, configurations, and standards — driving measurable improvements in throughput, accuracy, labor utilization, and inventory accuracy.
- Partner with routing, transportation, and inventory teams to identify and quantify business process optimization opportunities, including delivery scheduling, planning windows, and demand smoothing.
- Translate analytical findings into specific, actionable recommendations for site and network leadership, including the financial business case for proposed change.
- Support root cause analysis and corrective action efforts using statistical methods, modeling, and AI-assisted investigation in partnership with lean, IE, IC, and OpEx resources.
- Train OpEx colleagues, site leadership, and cross-functional partners on OpEx developed tools and data-driven problem-solving methods.
- Mentor OpEx colleagues on advanced analytical techniques and the proper interpretation of operational data.
- Develop and maintain documentation, standard work, and learning paths that scale data literacy and AI fluency across the OpEx organization.
- Serve as a technical advisor on cross-functional projects requiring advanced analytical or AI input.
- Plan and execute multiple projects in parallel using strong project management discipline — managing risk, critical path, and dependencies to deliver on time.
- Build the financial business case and project plan for proposed changes, then drive execution through to measurable, sustained results.
- Communicate effectively across technical and non-technical audiences, balancing competing priorities across multiple teams and sites to achieve common goals.
Requirements:
- Bachelor’s degree in Industrial Engineering, Computer Science, Data Science, or related engineering/science field, or an additional 4 years of experience in lieu of the WMS/LMS, SQL, and lean/CI requirements below.
- 3+ years experience in a manufacturing or distribution center environment.
- 2+ years experience with WMS and/or LMS systems and database structure, including data mapping and optimization of settings and configuration.
- 1+ years working directly with lean, process improvement, continuous improvement, or similar.
- 5+ years experience in a manufacturing or distribution center environment (preferred).
- 2+ years experience deploying production AI/ML or generative AI applications in a business or operational environment (preferred).
- 3+ years experience with semantic layer design and SQL — including data modeling, transformation logic, and performance optimization (preferred).
- 2+ years experience developing in PowerBI — including data modeling, DAX, and dashboard design at the network level (preferred).
- Experience with analytics engineering tools and transformation frameworks (preferred).
- Experience with workflow and process automation tools (Power Automate, Airflow, n8n, or similar) (preferred).
- 2+ years working directly with lean, process improvement, continuous improvement, or similar (preferred).
- Strong programming and scripting skills (Python, SQL, or similar) for automation, modeling, and data engineering work (preferred).
- 2+ years of demonstrated success in managing projects (preferred).
Benefits:
- medical, dental, and vision coverage
- paid time off
- retirement savings options
- wellness programs
- other resources, based on eligibility




















