Senior Learning Strategist
Hiring Locations:
Addison – Atlanta – Autin – Boston – Chicago – Columbus – Dallas – Denver – Houston – Huntsville – Jersey City – Kirkland – Los Angeles – Minneapolis – Mountain View – Nasville – New York – Orlando – Philadelphia – Phoenix – Pleasnton – Portland – Releigh – San Diego – San Francisco – Santa Clara – Seattle – Vienna – Waltham – Washington, D.C. – West Palm Beach
Job Summary
ServiceNow University (SNU) is the global learning organization responsible for developing talent at scale across ServiceNow’s 25,000+ employees and millions of external learners worldwide. SNU is transforming into an AI-native learning organization that sets the industry standard.
The Learning Strategy & Innovation team at ServiceNow University serves as the innovation engine and strategic intelligence unit for artificial intelligence and learning technology. This role provides strategic, analytical, and operational support to the Sr. Director, Learning Strategy & Innovation.
As an AI Learning Strategist, you will evaluate emerging AI technologies, lead strategic incubations from concept through enterprise adoption, and support the transformation of SNU into a truly AI-native learning organization. You will leverage AI as a strategic enabler to fundamentally redesign how learning is created, delivered, and measured at enterprise scale.
The Learning Strategist thrives in ambiguity, adapts rapidly to shifting priorities, and delivers high-quality work across multiple concurrent projects. The role is ideal for a self-driven professional who excels in data-driven analysis, flexible execution, and cross-functional partnership.
Key Responsibilities
Strategic Advisory & Executive Communication
Provides strategic, analytical, and operational support to the Sr. Director
Prepare briefing materials and presentations for senior leadership
Develop strategic roadmaps for AI adoption across Learning & Development and beyond as necessary
Synthesize insights across multiple initiatives to identify patterns and strategic implications
Create white papers and thought leadership content on AI and learning innovation
Facilitate stakeholder alignment on major technology decisions
Emerging AI & Learning Technology Evaluation
Continuously monitor and analyze trends in AI and learning technology
Conduct comparative analyses of tools and platforms, highlighting strengths, weaknesses, and organizational fit
Prototype and evaluate tools for strategic fit, scalability, and impact
Translate insights into actionable recommendations for innovation roadmaps
Filter and prioritize innovations to reduce distractions for production teams
Deliver quarterly technology horizon reports with clear strategic recommendations
Incubation-Stage Tool & Platform Ownership
Own learning tools and platforms during their incubation phase
Define success criteria, governance models, and transition plans for enterprise adoption
Prepare and present comparison tables and business cases to support decision-making
Partner with cross-functional teams to ensure smooth handoff to steady-state owners
Lead pilot implementations and coordinate with IT, data teams, and business owners
Document lessons learned and best practices for continuous improvement
Governance & Cross-Functional Partnership
Establish governance frameworks for AI pilots and strategic learning initiatives
Build trusted partnerships across design, delivery, and technology teams
Coordinate with innovation lab, content development, and delivery teams
Ensure compliance requirements are met in partnership with legal and procurement
Maintain strategic oversight of innovation portfolio and initiative progress
Data-Driven Foundation
A data-driven mindset is foundational to this role. The Learning Strategist must:
Use quantitative and qualitative data to inform all recommendations, decisions, and insights
Analyze baseline metrics and efficiency gains post-rollout to measure impact
Track adoption metrics and report on ROI for all technology initiatives
Continuously seek new sources of data to improve the rigor and relevance of recommendations
Approach: Positive Influence & Growth Mindset
To drive successful AI adoption and innovation, the Learning Strategist must:
Demonstrate optimism and adaptability in the face of uncertainty, modeling a solution-oriented attitude
Champion change by actively advocating for innovation and continuous improvement
Build trust and strong working relationships across technical and non-technical teams
Share insights, progress, and learnings openly, fostering transparency and alignment
Encourage experimentation, learning, and skill development, helping teams and individuals grow with AI
Qualifications
Required Qualifications & Competencies
10+ years in enterprise learning technology, learning science, strategy, or innovation roles
Proven experience evaluating and incubating AI-powered tools and platforms
Strong stakeholder engagement, governance, and communication skills
Ability to translate emerging trends into scalable, trusted learning solutions
Demonstrated ability to operate effectively in uncertain, evolving environments
Comfortable shifting between strategic evaluation and hands-on execution
Strategic thinker with the ability to influence and advise without owning the function
Collaborative partner who builds trust across technical and non-technical teams
Preferred Qualifications
Experience at a technology company during an AI transformation initiative
Background in change management or organizational transformation
Familiarity with ServiceNow products or enterprise software platforms
Technical certifications in AI/ML such as Google ML Engineer, AWS ML Specialty, or similar
Published thought leadership on AI in learning and development
Experience presenting at industry conferences or leading professional communities
Experience with education technology startups or corporate innovation labs
