Operational Excellence Analytics, Sr. Manager

Location: Minnesota

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.

The Operational Excellence Analytics, Sr. Manager is an influential leader in the Operational Excellence organization who is responsible for driving data architecture strategy, advanced analytical models, and AI products that shape 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  role partners closely with IT, 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 - 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.

Own OpEx's platform requirements and represent them directly in platform design, source system integration, and shared infrastructure decisions made jointly with IT, Data Engineering and Data Science teams.

Drive the OpEx analytics and AI roadmap - setting priorities and sequencing initiatives, while collaborating with OpEx and IT partners to execute initiatives on schedule

Process Optimization Through Data Use data, modeling, and AI to optimize WMS/LMS settings, configurations, and standards - driving measurable improvements in throughput, accuracy, labor utilization, and inventory accuracy.

Lead cross-functional analysis 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.

Lead root cause analysis and corrective action efforts using statistical methods, modeling, and AI-assisted investigation, partnering with lean, IE, IC, and OpEx resources.

Field Enablement & Mentorship 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 the technical lead and decision owner on cross-functional projects requiring advanced analytical or AI input.

Project & Change Management Plan and execute multiple projects in parallel using strong project management discipline - managing…