Manager, Knowledge Management & Technology Enablement

Revolution Medicines•Redwood City, CA

8d•$143,000 - $178,000•Remote

About The Position

Revolution Medicines is seeking a Manager, Knowledge Management & Technology Learning Enablement to support their enablement and training strategy for Digital, AI, and technology adoption across RevMed. This is an operations role focused on improving how Information Sciences and Digital Innovation (ISDI) turns knowledge into reusable enterprise assets, increases adoption of Digital and AI capabilities, and scales learning through structured content management, use case curation, enterprise communications, and network-based change enablement. This role enables faster and more consistent enterprise adoption of Digital and AI capabilities by creating a governed, scalable system for knowledge capture, training content management, use case curation, and enterprise collaboration. Success in this role should improve enterprise access to curated Digital and AI learning content, reuse of internally created knowledge assets and training materials, visibility and sharing of practical AI and technology use cases, coordination and effectiveness of the AI Champion Network, and the organization’s ability to scale learning, adoption, and change enablement without relying on fragmented one-off efforts. Metrics of success will be co-defined between this role and its Manager.

Requirements

Bachelor’s degree or equivalent experience in information systems, business, learning and development, communications, life sciences, or a related field.
8+ years of relevant experience in knowledge management, learning enablement, content operations, change enablement, communications, or related areas.
Experience managing structured content, knowledge assets, or learning materials in a technology, digital, or enterprise environment.
Strong ability to organize, govern, and scale content across multiple sources and stakeholder groups.
Successful measurable outcomes in training or organizational development supporting AI capability development.
Demonstrated evidence of AI capability through work products including, but not limited to: ability to select appropriate tools and models depending on work needs, validating AI tool outputs, responsible AI usage.
Demonstrated evidence of AI capability through work products including, but not limited to: ability to identify practice opportunities to improve quality, speed, insight, or coordination and collaboration.
Demonstrated evidence of AI capability through work products including, but not limited to: uses digital tools in recurring work and improves workflows or deliverables.
Demonstrated evidence of AI capability through work products including, but not limited to: shares useful examples, explains what works and does not work, helps others adopt good habits.
Experience translating ongoing activity, meetings, requests, or training outputs into reusable and shareable knowledge assets.
Strong program coordination and operational management skills.
Strong written and verbal communication skills with the ability to tailor content for technical and non-technical audiences.
Ability to work cross-functionally, work in teams and in a matrices environment, and able to work independently, drive structure, and manage evolving priorities in a fast-moving environment.

Nice To Haves

Experience supporting Digital, AI, technology adoption, or enterprise enablement programs.
Experience managing internal communications channels such as intranet platforms or newsletters.
Experience curating and organizing use cases, success stories, or workflow examples for enterprise learning.
Experience supporting community-based change networks, ambassador programs, or champion networks.
Familiarity with knowledge and collaboration platforms such as SharePoint, Confluence, Simplrr, or LMS environments.
Experience working in a regulated or life sciences environment.
Exposure to adult learning, performance consulting, instructional design, or change enablement methods.
Experience using data and feedback to improve enablement effectiveness and adoption outcomes.

Responsibilities

Own the operational and knowledge management approach for Digital, AI, and technology learning content across Information Sciences.
Manage both curated external/internal content and content created internally through training sessions, requests, enablement work, and ongoing learning activities.
Define and maintain standards for content organization, taxonomy, tagging, metadata, version control, lifecycle management, and accessibility.
Ensure materials are current, structured, searchable, and reusable across the enterprise.
Establish lightweight governance that balances consistency, speed, and scalability.
Own the process for publishing and sharing enablement content through enterprise channels, including RevNet and ongoing newsletters.
Translate ongoing learning activity, training outputs, and curated use cases into high-value enterprise-facing content.
Ensure knowledge assets are packaged for practical consumption by different audiences across the organization.
Partner with stakeholders to improve visibility, discoverability, and sustained use of enablement content.
Manage the logistics and operating rhythm of the AI Champion Network as a change champion and enablement community.
Coordinate meeting preparation, content flow, follow-ups, and operational support for AI Champion Network activities.
Own the curation, tracking, organization, and sharing of use cases raised through AI Champion meetings.
Maintain a structured view of escalated use cases, themes, priorities, and reuse opportunities.
Coordinate closely with AI Champion members and internal AI Team for identifying use cases, while retaining ownership of use case curation, knowledge organization, and enterprise sharing.
Support enterprise AI capability building by identifying, organizing, and sharing real use cases that help teams understand how Digital and AI tools can create business value.
Curate examples, patterns, and learning content that improve adoption of priority AI and digital capabilities.
Partner with Digital, Data, AI, and platform teams to support enablement for new tools, pilots, and enterprise capabilities.
Apply adult learning and enablement principles to ensure content is practical, scalable, and useful in real workflows.
Improve how IT onboarding and role-based learning content is structured, maintained, and delivered.
Support learning journeys, training materials, and knowledge pathways tied to enterprise technologies and Digital / AI capabilities.
Help ensure internally developed training content aligns with defined learning objectives and enablement standards.
Support the creation of reusable assets from live and asynchronous learning activities.
Conduct gap analyses to identify content duplication, missing knowledge assets, low-value materials, and opportunities to improve reuse.
Gather feedback and usage insights to improve content quality, communication effectiveness, and learning impact.
Track operational metrics related to content health, use case sharing, knowledge reuse, communications reach, and enablement effectiveness.
Continuously improve the systems and processes that support knowledge flow, use case visibility, and enterprise learning.