Director, Future of Work & Leadership Innovation

• This role establishes and scales UCSF's Future of Work & Leadership Innovation capability using a phased strategy: prototype within OE, expand across Human Resources, and ultimately scale across UCSF Health and UCSF Campus. The Director applies an AI innovation and product mindset to leadership and OE work, designing AI-enabled workflows, digital assistants, practical tools, and future-state experiences that improve effectiveness while responsibly accelerating enterprise AI adoption. The Director also serves as a horizontal enablement partner across OE, combining the domain strategy and process expertise of other pillars with deep AI, design, co-design, and experimentation capability. Success is reflected in a disciplined pipeline of high-value human
• AI experiments tied to real organizational needs; leaders and employees actively participating in co-design; evidence being used to distinguish promising ideas from those that should be redesigned or stopped; and successful approaches being translated into practical, reusable solutions that domain teams can own and scale. Over time, the Lab should strengthen leadership capacity and human judgment, improve work and employee experiences, build AI fluency across OE, and create credible patterns for how humans and AI agents can work together effectively and responsibly. The capability must produce approaches that are usable across UCSF's diverse workforce and operating contexts, including frontline, represented, highly regulated, clinical, technical, academic, research, and professional work. Success therefore requires innovation that improves work without compromising patient care, safety, quality, equity, human judgment, or the expertise on which UCSF's mission depends. Full-time, one year contract role. Key Responsibilities % of time Essential Function (Yes/No ) Key Responsibilities (To be completed by Supervisor) 20% Yes Future of Work & Agentic Leadership Strategy Partner with the VP of Organizational Effectiveness/Chief Learning Officer to translate OE strategy into a clear future-of-work and agentic leadership agenda. Lead development and phased adoption of AI-enabled capabilities that strengthen leadership, decision-making, collaboration, organizational effectiveness, and human performance. Evaluate emerging AI capabilities and identify practical applications that advance leadership and OE priorities. Ensure the future-of-work agenda reflects the realities of UCSF Health and Campus, including frontline, clinical, operational, research, education, and administrative work. 25% Yes Future of Work & Leadership Innovation Lab Lead the Lab as an applied innovation, co-design, prototyping, and enterprise experimentation capability for OE. Design and pilot AI-enabled leadership tools that help managers understand communication preferences, motivations, work styles, behavioral tendencies, leadership blind spots, and diverse perspectives. Create AI-enabled workflows, digital assistants, and practical tools that automate repetitive work, increase capacity, and improve everyday leadership and employee experiences. Use product, human-centered design, co-design, and rapid experimentation methods to create, test, measure, learn, refine, and prepare successful solutions for scale. Partner with research, analytics, technology, and governance experts when initiatives require formal research design, causal measurement, or specialized technical expertise. Ensure Lab discovery, co-design, and experimentation occur in the environments where work actually happens and account for patient care, safety, regulation, operating tempo, workforce access to technology, and the preservation of human expertise. 20% Yes Enterprise Adoption & Change Lead adoption of AI-enabled leadership and future-of-work practices through change management, communications, education, executive engagement, and communities of practice. Partner with HR, technology, and business leaders to scale responsible AI practices. Develop enablement strategies and experiences that build confidence and capability. Measure adoption, user experience, and organizational impact to continuously improve solutions. Design adoption approaches that work for employees and leaders with widely different workflows, schedules, technology access, and operating contexts, including 24/7 and frontline settings. 15% Yes Cross
• Pillar Future-of
• Work Enablement Partner with OE domain leaders to translate their strategies and processes into AI-enabled future-state experiences, workflows, and human
• AI work designs. Bring AI, product, human-centered design, co-design, and experimentation expertise to initiatives across Leadership & Enterprise Learning, Talent & Performance, and Organization Design & Effectiveness while preserving domain ownership within each pillar. Prototype solutions with domain teams, test assumptions and user experience, establish reusable patterns and practices, and support evidence-based handoff and scaling once approaches are proven. Help build AI fluency across OE so AI enablement increasingly becomes embedded in how the function works. Partner with clinical, operational, research, academic, and administrative leaders and employees as appropriate so future-state designs are grounded in the lived realities of the workforce. 10% Yes Team Leadership Lead and develop the Leadership Experience Designer and Future of Work Designer. Set clear priorities and create a high-accountability culture of experimentation, continuous learning, responsible innovation, and human-centered design. Deploy the small team flexibly across the highest-value leadership and OE innovation priorities. 10% Yes Research, Foresight & Evidence Translation Monitor evolving trends in artificial intelligence, agentic systems, leadership, organizational effectiveness, work design, and the future of work. Translate external developments and emerging evidence into implications and practical opportunities for UCSF. Partner with research and measurement experts to interpret findings from Lab experiments and translate credible evidence into leadership practices, design patterns, tools, and recommendations. Evaluate emerging capabilities, technologies, and approaches and recommend where UCSF should experiment, adopt, partner, scale, or wait. 100% (To update total %, enter the amount of time in whole numbers (without the % symbol - e.g., 15, 20) then highlight the total sum (e.g., 1%) at the bottom of the column and press F9. The total sum should add up to 100%.) Qualifications Knowledge Skills and Abilities (KSAs) Knowledge, Skills and Abilities Req / Pref AI-native mindset with expertise in enterprise AI platforms and AI agents. Req Experience leading enterprise AI adoption and change. Req Product mindset and experience designing AI-enabled workflows or digital experiences. Req Executive consulting and communication skills. Req Strong systems thinking. Req Experience in change management or AI transformation in complex enterprise. Pref Leadership Development, OE or OD experience a plus. Pref Education, Licenses and

Education Req / Pref Bachelor's degree and/or equivalent experience. Req Master's degree or higher in a related field. Pref 7 – 10 years progressive work experience or equivalent combination of experience and training to succeed in role.

Req Experience applying AI technologies to improve leadership effectiveness, organizational capability, or enterprise workflows.. Req Certifications Req / Pref AI/Generative AI certifications. Pref Prosci, Agile, Product Management, Human-Centered Design, or related certifications.

Pref

Full time · Day shift