Manager, Operational Excellence Analytics

Job not on LinkedIn

🕒 May 17

⚓ Rhode Island – Remote

⚓ Rhode Island – Remote

💵 $66.3k - $145.9k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

⚙️ Operations

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CVS Health

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1963

⚕️ Healthcare Insurance

🛒 Retail

🧘 Wellness

Healthcare Insurance • Retail • Wellness

CVS Health is a leading American healthcare company dedicated to improving health access and affordability. The company focuses on a comprehensive approach that includes health services, health insurance, and pharmacy benefits management. Through its subsidiaries, such as Aetna and CVS Caremark, CVS Health offers a range of services that facilitate wellness, condition management, and affordable prescription drug coverage. CVS Health operates neighborhood pharmacies, provides mail-order pharmacy services, and manages specialty medication programs, aiming to make healthcare convenient and accessible for everyone. Driven by a mission to connect people with essential care services, CVS Health is committed to fostering healthier communities and supporting the wellbeing of all individuals.

📋 Description

• 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