Senior Manager, Operations Ecosystem

Position: Senior Manager, Operations Performance Ecosystem
Responsibilities   Own Scorecard deliverables & operations, including the strategy of how Scorecard metrics influence colleague behaviors.
Deliver initiatives that build Scorecard operations, forecasting, scheduling and streamlined performance reporting.
Build, implement, and manage capacity plans to ensure optimal staffing levels and efficient response times; collaborate with AI2 and operational teams to build/use forecasting models to pre-plan capacity to meet demand.
Lead operations goal setting in partnership with production units, from inputs to socialization and facilitating interaction with Workforce Management Scheduling & Intraday Workforce Management teams.
Lead all business analysis and performance insights that provide productivity insights, coaching opportunities, and actions to improve performance.
Provide production executive support on Operations performance, creating clarity and providing insights and analysis on results.
Support rollouts, exceptions and interpretation of annual planning including FTE, Goals, Scorecard and Expense Budgets.
Requirements   A bachelor’s degree in business administration, Operations Management, or a related field is preferred.
Track record leading others through change and cultivating a highly engaged team.
Organizational awareness—ability to maneuver the organization and create stakeholder engagement/collaboration.
Strategic Workforce Planning:
Develop and implement workforce strategies that align with business objectives, ensuring the right staffing levels to meet patient demand while optimizing costs.
Stakeholder Leadership & Influence:
Demonstrated ability to lead complex stakeholder interactions, translate data insights into actionable business recommendations, and influence strategic decision-making through data-driven analysis.
Workforce Planning Expertise:
Minimum 5+ years of progressive experience in workforce data analytics, including short- and long-term workforce planning, capacity modeling, and capacity management.
Artificial Intelligence & Machine Learning:
Working knowledge of AI engines, and machine learning applications, with experience translating these technologies into workforce planning solutions.
Communication & Analytical Storytelling:
Exceptional written and verbal communication skills, with the ability to synthesize complex data into compelling narratives for diverse audiences.
Ability to manage multiple priorities and deadlines in a dynamic environment.
Strong relationship management skills.
Comfort with ambiguity and white space.

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