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Manager, Risk Workforce Management & Analytics San Jose, Ca

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: ESR Healthcare
Full Time position
Listed on 2026-01-14
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer, Data Science Manager, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 167400 - 200700 USD Yearly USD 167400.00 200700.00 YEAR
Job Description & How to Apply Below

Manager, Risk Workforce Management & Analytics

San Jose, California, United States

Make your impact within a rapidly growing Fintech Company

As the Manager of Workforce Management (WFM) in Risk Management, you will play a pivotal role in building and scaling a WFM function that supports Risk Operations, Collections, and Credit Underwriting. This is not a traditional WFM role—our goal is to transition from manual processes to automated, data-driven solutions that enable proactive workforce planning and operational efficiency. This is a highly technical WFM role that requires expertise in ETL, automation, data engineering, and analytics.

You will act as a thought partner to strategize and execute solutions that balance SLAs, quality, and cost while supporting a dynamic and growing operational model. This role will require a deep understanding of data, automation, and process improvement, as well as the ability to collaborate with engineering teams to ensure the right workforce data is available for planning and reporting.

  • Develop and implement the overall workforce management strategy for Risk Management Operations teams, ensuring alignment with business performance goals.
  • Identify gaps in data availability, infrastructure, and automation, and drive the transition from manual processes to automated workforce intelligence outputs to support real-time monitoring. Find opportunities for process automation and implement improvements.
  • Collaborate closely with engineering, data science, and development teams to define technical requirements, integrate data pipelines, and implement scalable WFM systems that support advanced forecasting, scheduling, and monitoring.
  • Communicate key workforce performance metrics and insights to leadership in a clear and actionable manner - while providing recommendations to optimize scheduling, staffing, and operational efficiencies. Develop flexible workforce models that support various staffing types (full-time employees, third-party vendors) across multiple service channels.
  • Build forecasting, scheduling, and real-time monitoring systems to improve workforce efficiency.
  • Ensure optimal balance between service levels, quality, and operational costs.
  • Leverage statistical modeling, machine learning insights, and automation tools to analyze workforce trends, generate predictive staffing models, and drive data-backed strategic recommendations.
  • Partner with the Risk Management Reporting & Analytics team to develop dashboards and data visualization tools.
  • Build and lead a high-performing WFM team to support Risk Management operations.
  • Recruit, train, and develop team members while providing coaching and performance feedback.

We’d love to chat if you have:

  • Bachelor’s degree in Business Administration, Operations, Data Analytics, or a related field preferred.
  • 5+ years of experience in workforce management, capacity planning, or operations management in a risk management, financial services, or customer service environment.
  • Experience working with workforce management applications (Calabrio, NICE, Verint, Aspect, or similar tools).
  • Experience working with engineering teams to implement WFM data infrastructure.
  • Proficiency in SQL, Python, or other data analysis languages for workforce planning and forecasting.
  • Hands-on experience with WFM system automation, real-time data integration, and API-based reporting.
  • Demonstrated ability to partner with engineering and analytics teams to define and implement workforce data solutions.
  • Skilled in understanding WFM work KPIs and calculations to determine and optimize operations performance.
  • Ability to think strategically and execute in a fast-paced, evolving environment.
  • An affinity for “talking with numbers”—strong ability to quantify problems and support conclusions with data.
  • Highly analytical, creative, and innovative approach to problem-solving.
  • Strong stakeholder management and communication skills, with the ability to present insights and influence decision-making.

The estimated salary range for this role is noted below for our San Jose based role. Our ranges for each role and job level are based on a variety of factors including candidate experience, expertise, and geographic location and may vary from the amounts listed above. The role is also eligible for a competitive benefits package that includes: medical, dental, vision, life and disability insurance, 401(k) retirement plan, flexible spending & health savings account, paid holidays, paid time off, and other company benefits.

San Jose pay range

$167,400-$200,700

USD

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