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Senior Manager - WFM Advanced Analytics

https://www.cvshealth.com/ Logo

CVS Health

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Location:
United States, Work At Home, Wisconsin

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Category:
Customer Service

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Contract Type:
Employment contract

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Salary:

75400.00 - 165954.00 USD / Year

Job Description:

The Senior Manager of WFM Advanced Analytics serves as the data science lead for the Retail Customer Care WFM Analytics Team which encompasses inbound, outbound, and digital customer interactions. The primary responsibilities include the development, implementation, & analysis of labor staffing, workload inputs, ETL automation, application development & root cause analysis. The position is accountable for cross-platform analytics which includes data governance, database design oversight, linear and nonlinear Machine Learning model development, statistical analysis, and big data analytics. Big data analytics will entail structured, semi-structured, and unstructured data sets from Large Language Models and Neural Networks which will require advanced technical skill sets. They will drive a culture of continuous learning, high emotional intelligence, output ownership, inspection, and root cause analysis, with a focus on removing variation from the system and removing defects from processes. The Senior Manager will work in a fast-paced, dynamic, and change readiness environment, with the flexibility to immediately adapt to shifting priorities and demands. Approximately 10% travel.

Job Responsibility:

  • Serve as the Analytics team SME on assigned projects
  • Leverage advanced programming languages (e.g., SQL, Python, R) and machine learning models to architect and deploy comprehensive analytic solutions
  • Mentor and develop the analytics team on cutting-edge technologies such as Large Language Models (LLM), Artificial Neural Networks (ANNs), and other machine learning advancements
  • Act as the principal data science authority and primary liaison with Business Unit Leadership on operational impacts
  • Ensure data integrity across all customer-facing sources
  • Forensic science level inspection of work for yourself and your team
  • Collaborate with key stakeholders to ensure system and security compliance, design robust ETL pipelines, maintain source system connectivity, and manage financial obligations effectively

Requirements:

  • 2+ years demonstrated knowledge and experience with advanced Prompt Engineering for Large Language Models (LLM), Artificial Neural Networks (ANNs), and Data Governance
  • 2+ years demonstrated knowledge of programming languages (Ex: Python, SQL, or R)
  • 3+ years demonstrated utilization of Five9 ACD data
  • 3+ years leading advanced analytics team

Nice to have:

  • Demonstrated experience in data governance and version control standards
  • Demonstrated knowledge of utilizing back-end API’s for WFM software such as IEX, Verint, etc.
  • A.I./Machine Learning validation, testing and parameter tuning
  • Experience in data architecture with the ability to write scalable, production-level code within GCP & Snowflake environments
  • Data visualization development experience (Ex: Tableau or Power BI)
  • Demonstrated experience with Correlation Analysis
  • Demonstrated advanced Excel report development (e.g., Advanced Formulas, Power Pivot, Charts and Graphs, VBA & Macros, etc.)
  • Demonstrated experience with steering Business Unit Level ROI analysis & dissemination designed for executive level leadership (VP & above)
What we offer:
  • Affordable medical plan options
  • 401(k) plan (including matching company contributions)
  • Employee stock purchase plan
  • No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching
  • Paid time off
  • Flexible work schedules
  • Family leave
  • Dependent care resources
  • Colleague assistance programs
  • Tuition assistance
  • Retiree medical access

Additional Information:

Job Posted:
August 13, 2025

Expiration:
August 23, 2025

Employment Type:
Fulltime
Work Type:
Remote work
Job Link Share:
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