Senior AI Enablement Program Manager

Guardant Health

6d•$145,350 - $211,635•Hybrid

About The Position

Reporting to the Director of Learning & Development, this role will serve as a strategic learning leader responsible for driving the adoption of emerging technologies, including AI-enabled ways of working, while advancing Guardant Health University's (GHU) professional and leadership development portfolio. The role will partner closely with executive leaders, the CIO organization, HR, business functions, and subject matter experts to create impactful learning experiences that drive measurable business outcomes. This role requires a unique combination of strategic thinking, learning enablement expertise, change leadership, executive communication, and operational excellence. The successful candidate will build scalable enablement ecosystems that help employees develop practical AI skills, adapt to rapidly evolving change in technologies, and integrate AI responsibly into daily work. They will serve as a trusted advisor to senior leaders, influencing priorities, aligning stakeholders, and translating business objectives into measurable learning and adoption outcomes. This individual will combine strategic thinking with operational excellence to develop scalable learning ecosystems, establish repeatable program frameworks, and ensure Guardant employees have the skills, knowledge, and confidence needed to thrive in an evolving workplace. Success in this role requires strong executive presence, exceptional program management capabilities, learning expertise, change leadership, and the ability to influence across a highly matrixed organization. The successful candidate is a strategic builder, trusted advisor, and exceptional executer who thrives in high-performance environments. They are known for setting a high bar for quality, building strong executive partnerships, driving alignment across complex stakeholder groups, and creating scalable enablement programs that deliver measurable business impact.

Requirements

8+ years of progressive experience in Learning & Development, organizational enablement, digital transformation, change management, workforce capability development, or enterprise program management.
Demonstrated success leading large-scale, cross-functional programs with executive visibility and organizational impact.
Experience building and scaling enterprise learning, or enablement initiatives across complex organizations.
Experience partnering with senior executives and influencing stakeholders at all organizational levels.
Hands-on experience with enterprise AI platforms such as Microsoft Copilot, ChatGPT, or comparable AI technologies.
Experience operating in rapidly evolving environments where ambiguity, innovation, and change are constant.
Exceptional program and portfolio management skills with strong attention to execution, governance, and measurable outcomes.
Strong executive presence with the ability to communicate complex ideas clearly and effectively to both technical and non-technical audiences.
Proven ability to build credibility, trust, and productive relationships with senior leaders and cross-functional stakeholders.
Expertise in learning enablement, adult learning principles, organizational change, and workforce capability development.
Strong analytical and data storytelling skills with the ability to translate insights into strategic recommendations.
Ability to balance strategic thinking with hands-on execution and operational excellence.
Outstanding written communication, facilitation, and presentation skills.
Demonstrated ability to create scalable, sustainable programs that drive long-term organizational adoption and behavior change.
Demonstrate curiosity, sound judgment, and the ability to critically evaluate and responsibly leverage AI-enabled tools in accordance with company policies, ethical standards, and regulatory requirements to improve the efficiency, effectiveness, and quality of work.

Responsibilities

Lead the execution and continuous evolution of the enterprise AI enablement strategy for Learning & Development in partnership with executive leaders, technology, security, and business leaders.
Design scalable learning and adoption frameworks that support diverse employee populations (Including programs for SMT and Executive audience) and evolving AI capabilities.
Establish repeatable processes, governance mechanisms, and operational models that enable sustainable AI skill development across the organization.
Identify emerging workforce capability needs and proactively develop enablement strategies that prepare employees for ongoing AI transformation.
Serve as a strategic thought partner to senior leaders on AI adoption, workforce readiness, and organizational capability building.
Architect and oversee enterprise AI learning journeys, workshops, capability academies, office hours, and role-based enablement programs.
Ensure learning experiences are practical, engaging, measurable, and aligned to business priorities.
Partner with subject matter experts, AI Champions, and business leaders to develop function-specific use cases and learning experiences.
Structure and lead AI Champions Network (Ongoing).
Translate complex technical concepts into accessible, engaging, and actionable content for diverse employee audiences.
Drive continuous improvement of learning programs through feedback, performance data, and evolving business needs.
Act as a partner to the business for the L&D team, advising leaders on development for their team, not exclusively in AI but across the portfolio.
Oversee the development and curation of learning resources, job aids, facilitator guides, toolkits, playbooks, prompt libraries, use cases, and digital content.
Lead end-to-end planning, execution, and governance of multiple concurrent AI enablement initiatives.
Develop and manage comprehensive project plans, milestones, dependencies, risks, communications, stakeholder engagement strategies, and metrics collection.
Establish scalable program management practices, templates, reporting mechanisms, and operational processes to support enterprise growth.
Ensure consistent, high-quality execution across workshops, learning programs, pilot initiatives, and adoption campaigns.
Proactively identify risks and barriers to adoption while implementing mitigation strategies to maintain momentum and achieve outcomes.
Build trusted relationships with executives, senior leaders, and key stakeholders across the organization.
Influence alignment and decision-making across diverse stakeholder groups with varying priorities and levels of AI maturity.
Facilitate executive discussions and strategic planning sessions related to AI enablement and workforce transformation.
Develop executive-ready communications, presentations, dashboards, and recommendations that clearly articulate progress, impact, opportunities, and risks.
Act as a connector across business functions to drive alignment, collaboration, and shared ownership of AI adoption goals.
Lead the creation and curation of scalable AI enablement resources, including playbooks, learning guides, prompt libraries, job aids, and digital learning assets.
Establish content standards and governance processes to ensure consistency, relevance, and quality across all enablement materials.
Partner with internal experts to document and scale successful AI use cases, best practices, and lessons learned.
Create frameworks that enable teams to independently access, apply, and share AI knowledge throughout the organization.
Define and monitor key performance indicators related to learning engagement, adoption, capability development, and business impact.
Analyze participation trends, usage data, learner feedback, and adoption metrics to identify opportunities for optimization.
Develop executive dashboards and insights that demonstrate measurable outcomes and return on investment.
Capture and communicate success stories that highlight business value, productivity gains, innovation, and operational improvements enabled by AI.
Use data-driven insights to continuously refine enablement strategies and investment priorities.
Lead change management efforts that support the successful adoption of new learning initiatives, technologies, and ways of working.
Develop comprehensive communication and engagement strategies that drive awareness, participation, and sustained behavior change.
Foster a culture of continuous learning, experimentation, and knowledge sharing across the organization.
Ensure all enablement programs reinforce Guardant's policies, compliance requirements, and responsible AI principles.