Senior Manager, Workforce Scheduling and Forecasting AnalyticsProgram

You’re more valuable than ever – And that’s just how we’ll make you feel.

The Senior Manager, Workforce Scheduling and Forecasting Analytics oversees the Company’s enterprise-wide staffing‑to‑demand and workforce management processes. This role owns the forecasting and optimization models that guide staffing decisions, as well as the underlying algorithms, optimization logic, data integrity, and supporting data pipelines. Partnering closely with Operations leadership, FP&A, Business Intelligence/DEMI, IT, People, and other Company departments, the role ensures accurate staffing forecasts, standardized scheduling practices, and effective monitoring tools across all joint venture markets.

The position drives continuous improvement in forecasting logic, scheduling optimization, and workforce management systems, serving as the primary technical and functional owner for the enterprise staffing model. This role is a key contributor to data‑driven operational efficiency, consistency, and organizational growth.

Qualifications

Education Required:

Bachelor’s degree

Experience will be considered in lieu of a degree.

Licenses/Certifications

Required:

None Work Experience

Required:

5+ years of workforce management or operations analytics experience (e.g., forecasting, staffing models, capacity planning) in a large‑scale healthcare environment.
3+ years of experience building and deploying predictive models in Snowflake using

Snowpark and Python to scale machine learning workflows.
5+ years of health care experience.

Forecasting, capacity planning, and clinic scheduling experience in a medical environment.

Experience in development, management, and enforcement of large‑scale healthcare environment scheduling and payroll processes and best practices.

Experience in use of scheduling systems or other standard tools to report on and analyze staffing level compliance, time punch compliance, and overtime utilization.

Preferred Qualifications , Education, Licenses, Certifications, Experience, etc.:

Experience with Databricks.

Knowledge, Skills, and Abilities This role involves interaction and collaboration with other departments, Joint Venture team members, and health system partners and requires excellent judgment and interpersonal skills. Workforce management and staffing‑to‑model expertise across large scale healthcare environment/healthcare operations.

Working knowledge of integrations including flat‑file exports/imports and APIs between scheduling systems and other systems such as a data warehouse of HRIS. Ability to and interest in expanding technical knowledge particularly in areas of AI‑driven forecasting, automated modeling, and information distribution via automated integrations.

Proven ability to manage or oversee ETL/ELT data pipelines, including data quality checks, issue triage, and documentation updates.

Experience building, maintaining, or enhancing complex forecasting and optimization models (e.g., using Python or similar tools) to support workforce or operational planning.

Experience deploying, monitoring, and troubleshooting analytics or AI/ML models in production environments.

Ability to translate business requirements from operations leaders into clear technical specifications for forecasting, optimization, and reporting enhancements, and to prioritize a backlog of improvements.

Comfort working with SQL or similar query languages to independently pull, validate, and reconcile data related to volume, staffing, and timekeeping.

Experience operationalizing analytics, including building or overseeing dashboards in tools such as Tableau, Power BI, Sigma, etc. to monitor model adherence, volumes, and key SLAs.Proficiency with scheduling and time‑tracking systems and their enterprise‑wide optimization.

Knowledge of timekeeping processes, clock‑in/clock‑out compliance, and overtime controls.

Ability to analyze data, build reports, and monitor schedule and staffing compliance.

Skill in developing and improving standard processes and best practices for scheduling and time tracking.

Strong collaboration and stakeholder‑management skills across operations, FP&A, IT, Talent Acquisition, and health‑system partners.

Effective…