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 at scale.
The 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 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.
Required Qualifications
- Minimum of 5 years experience with semantic layer design and SQL — including data modeling, transformation logic, and performance optimization.
- 3+ years of demonstrated success managing projects, including cross-functional and network-level initiatives.
- 3+ years experience in a manufacturing or distribution center environment.
- 3+ years experience developing in PowerBI — including data modeling, DAX, and dashboard design at the network level.
- 3+ years experience with WMS (Manhattan Active a plus) and/or LMS systems and database structure, including data mapping and optimization of settings and configuration.
- 2+ years working directly with lean, process improvement, continuous improvement, or similar.
- Programming and scripting experience with (Python, SQL, or similar) for automation, modeling, and data engineering work.
- Travel up to 30%
Preferred Qualifications
- 7+ years experience in a manufacturing or distribution center environment.
- 5+ years experience deploying production AI/ML or generative AI applications in a business or operational environment.
- Experience with analytics engineering tools and transformation frameworks.
- Experience with workflow and process automation tools (Power Automate, Airflow, n8n, or similar).
- 3+ years working directly with lean, process improvement, continuous improvement, or similar.
- 5+ years of demonstrated success managing projects, including network-level or cross-functional initiatives.
- APICS CPIM, CSCP, or CLTD Certified.
- Six Sigma Green Belt Certified.
- Experience working with a larger corporation and counterparts in other remote locations.
- Strong interpersonal & communication skills, self-motivated, customer oriented, multi-tasking, and successful at managing multiple priorities and tasks.
Education
- 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.
Pay Range
The typical pay range for this role is:
$67,900.00 - $199,144.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
Additional details about available benefits are provided during the application process and on Benefits Moments.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
Skills Required
- Minimum of 5 years experience with semantic layer design and SQL (data modeling, transformation logic, performance optimization)
- 3+ years managing projects, including cross-functional and network-level initiatives
- 3+ years experience in a manufacturing or distribution center environment
- 3+ years developing in Power BI including data modeling, DAX, and dashboard design at the network level
- 3+ years experience with WMS (Manhattan Active a plus) and/or LMS systems and database structure, including data mapping and optimization
- 2+ years working directly with lean, process improvement, continuous improvement, or similar
- Programming and scripting experience (Python, SQL, or similar) for automation, modeling, and data engineering
- Travel up to 30%
- Bachelor's degree in Industrial Engineering, Computer Science, Data Science, or related field (or additional 4 years of experience in lieu)
- Experience designing and maintaining semantic data layer in Snowflake
- Ability to build automation flows and low-code tooling to eliminate manual reporting (Power Automate or similar)
- Ability to communicate across technical and non-technical audiences and build financial business cases
- Train and mentor colleagues on advanced analytics and proper use of data and AI tools
- Develop and maintain documentation, standard work, and learning paths to scale data literacy
- Experience building network-level Power BI dashboards for daily management and performance tracking
- Experience partnering with IT, Data Engineering, and Data Science on platform and integration requirements
What We Do
CVS Health is the leading health solutions company that delivers care in ways no one else can. We reach people in more ways and improve the health of communities across America through our local presence, digital channels and our nearly 300,000 dedicated colleagues – including more than 40,000 physicians, pharmacists, nurses and nurse practitioners. Wherever and whenever people need us, we help them with their health – whether that’s managing chronic diseases, staying compliant with their medications, or accessing affordable health and wellness services in the most convenient ways. We help people navigate the health care system – and their personal health care – by improving access, lowering costs and being a trusted partner for every meaningful moment of health. And we do it all with heart, each and every day.
