Director, Talent Enablement Program Manager

College BoardNew York, NY
3d$80,000 - $130,000Remote

About The Position

The Director, Talent Enablement Program Manager is responsible for translating College Board’s talent strategy into reliable, high-value performance experiences for employees and managers. This role is accountable for the execution and continuous improvement of College Board’s performance cycles, ensuring they are delivered with rigor, clarity, and a strong user experience. The role executes the end-to-end delivery of annual performance processes, including goal-setting, Forma Feedback Tools and 360 reports, and performance reviews. The Program Manager ensures these cycles run smoothly and on time, gathers user feedback, and drives ongoing improvements so experiences feel seamless, worthwhile, and supportive of strong performance and judgment. In partnership with the GenAI Studio and Talent strategy, technology, and data teams, this role helps operationalize lighter-weight, AI-enabled performance workflows that reduce manual effort while improving quality. While not responsible for setting enterprise strategy or core tool design, the Program Manager brings a strong, execution-informed point of view that helps shape future decisions. The role also partners closely with technical teams to ensure performance inputs - particularly Peer and Upward Input and the OPME Snapshot - are accurate, trusted, and usable, enabling leaders to confidently use evidence in evaluation and calibration. Overall, this role is about making performance systems work - quietly, consistently, and well - so expectations are clearer, evaluation is stronger, and the organization can focus on impact.

Requirements

  • 6 - 8+ years of experience in program management, HR operations, talent programs, or a related field, with responsibility for executing complex, enterprise-wide cycles or initiatives.
  • A strong track record of operational excellence, including managing timelines, dependencies, risks, and stakeholder expectations across multiple teams.
  • Experience delivering or supporting performance management, feedback, or evaluation processes, ideally in a matrixed or large organization.
  • Comfort partnering with technology, data, and analytics teams to deliver tools, workflows, or insights with high reliability and user trust.
  • Experience or proven interest in supporting or operationalizing AI-enabled or technology-driven process improvements, with an emphasis on reducing friction and improving quality.
  • Strong communication and enablement skills, with the ability to translate complex processes into clear guidance for diverse audiences.
  • Sound judgment and a collaborative mindset; able to bring a strong, execution-informed point of view while working within established strategic direction.
  • A user-centered orientation, with the discipline to gather feedback, learn from delivery, and continuously improve systems over time.
  • A passion for expanding educational and career opportunities and mission-driven work
  • Authorization to work in the United States for any employer
  • Curiosity and enthusiasm for emerging technologies, with a willingness to experiment with and adopt new AI-driven solutions and a comfort learning and applying new digital tools independently and proactively.
  • Clear and concise communication skills, written and verbal
  • A learner's mindset and a commitment to growth: welcoming diverse perspectives, giving and receiving timely, respectful feedback, and continuously improving through iterative learning and user input.
  • A drive for impact and excellence: solving complex problems, making data-informed decisions, prioritizing what matters most, and continuously improving through learning, user input, and external benchmarking.
  • A collaborative and empathetic approach: working across differences, fostering trust, and contributing to a culture of shared success.

Responsibilities

  • Performance Cycle Execution & Continuous Improvement (40%): Execute the end-to-end delivery of College Board’s annual performance cycles, ensuring delivery is timely, accurate, and consistently high quality. Execute annual cycles for goal-setting, Peer and Upward Input, OPME Snapshot release, and performance reviews. Manage detailed delivery plans, timelines, dependencies, and risk mitigation across cycles. Ensure processes are clear, well-communicated, and operationally sound for employees, managers, and leaders. Gather and synthesize user feedback and operational insights after each cycle to identify improvement opportunities. Translate feedback into concrete process, guidance, or workflow enhancements for future cycles.
  • AI-Enabled Workflow Delivery (20%): Operationalize AI-enabled performance workflows in partnership with strategy and technical teams, translating design intent into real user experiences. Partner with the GenAI Studio, Talent Technology, and Data teams to deliver AI-enabled improvements to performance processes. Support pilots and releases that reduce manual effort and cognitive load while improving quality and usefulness. Ensure AI-enabled workflows are executed responsibly, aligned with enterprise governance, and clearly communicated to users. Surface execution insights, user feedback, and risks to inform future design and scaling decisions.
  • Performance Data & Tool Reliability (20%): Ensure performance inputs and tools are delivered with accuracy, consistency, and credibility, building trust over time. Partner with Talent Technology and Data teams to deliver accurate and timely Peer and Upward Input and OPME Snapshot experiences. Coordinate testing, validation, and release readiness for performance tools and reports. Monitor data quality issues, user-reported defects, and trust signals; drive resolution and improvement over time. Support leaders’ effective use of performance data by ensuring clarity, usability, and reliability of inputs.
  • Enablement, Communication & Stakeholder Partnership (20%): Drive adoption and consistent use of performance processes through clear enablement and strong cross-functional partnership. Develop and deliver concise guidance, training, and communications to support performance activities. Partner closely with Talent BPs, leaders, and managers to anticipate questions and reduce friction. Serve as a central coordination point across Talent, Technology, Data, and GenAI partners. Bring a strong execution-informed point of view, contributing insights to strategy discussions without owning enterprise design decisions.
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