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The Workforce Management Lead applies and integrates advanced and predictive analysis, people metrics and reporting to develop strategic and operational insights for workforce decision-making (e.g., staffing, learning and development, talent management, diversity and human resource compliance). The Workforce Management Lead works on problems of diverse scope and complexity ranging from moderate to substantial.

CenterWell Pharmacy is looking for a technical and strategic Workforce Capacity Planning Lead to lead forecasting excellence and workforce planning performance within a key business unit. This role is ideal for a data-driven leader who combines deep analytical expertise with people leadership and experience with modernizing workforce planning.

You will oversee forecasting strategy end-to-end while leading a small team (2–3 direct reports) and partnering with Operations and Finance. We are looking for hands-on proficiency in advanced analytics, data engineering concepts, and visualization tools to enhance forecasting accuracy, scalability, and insight generation.

Key Responsibilities

Forecasting Strategy & Ownership

• Own end-to-end forecasting and workforce capacity planning for an assigned business unit

• Develop and maintain short-term and long-range forecasts aligned with operational and financial plans

• Ensure alignment across demand forecasts, staffing strategies, and financial targets

• Define and continuously improve forecasting methodologies, assumptions, and governance

Technical & Analytical Leadership

• Design and implement advanced forecasting models using modern analytical tools and techniques

• Leverage Python and ETL tools to build, automate, and scale data pipelines and forecasting processes

• Utilize Power BI, Tableau, or similar platforms to deliver actionable, executive-ready insights

• Evaluate and introduce new tools, technologies, and analytics capabilities to modernize workforce planning

Performance Management & Insight Delivery

• Monitor forecast accuracy, bias, and capacity plan feasibility; proactively mitigate risk

• Lead performance reviews and present insights to senior and executive leadership

• Translate complex data into clear recommendations that drive operational and financial outcomes

• Maintain strong documentation, controls, and performance tracking standards

People Leadership

• Manage a team of 2–3 Analyst/Senior Analyst

• Set clear expectations for analytical rigor, quality, and accountability

• Provide mentorship to enhance technical and business acumen across the team

• Foster a culture of continuous improvement and innovation

Cross-Functional Partnership

• Be a strategic partner to Operations and Finance leadership

• Influence decision-making by framing trade-offs, risks, and opportunities

• Ensure workforce strategies support broader business objectives and service commitments

Success in This Role

In this position, you will:

• Deliver measurable improvements in forecast accuracy, bias reduction, and planning effectiveness

• Modernize forecasting processes through automation and advanced analytics

• Build scalable, sustainable data and reporting solutions

• Develop a high-performing, technically strong team

• Serve as a trusted advisor to business leaders

Use your skills to make an impact
 

Required Qualifications

• 8 or more years of experience in workforce planning, forecasting, analytics, or related discipline

• Proven experience building and owning forecasting models in complex environments

• Strong hands-on proficiency in: Python (data analysis, modeling, automation) and Data visualization tools (Power BI, Tableau, or similar)

• Experience with ETL processes and data pipeline development

• Demonstrated experience leading a small team

• Strong communication skills with experience presenting to senior leadership

Preferred Qualifications

• Bachelor’s degree in Analytics, Data Science, Business, Finance, or related field

• Experience in healthcare, pharmacy, or contact center operations

• Familiarity with workforce management systems (e.g., NICE, Aspect, Verint, etc.)

• Experience with cloud data platforms or modern analytics ecosys