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About the Role

Janus Henderson is seeking a Head of AI Academy to lead the next phase of its AI transformation program. This leadership role focuses on evolving the AI Academy's strategy, curriculum, and community to drive deeper AI proficiency and adoption across the firm. You will be responsible for the end-to-end ownership of the Academy, including its strategy, curriculum, proficiency pathways, champion networks, platform, community, measurement, and governance.

Responsibilities

Own and evolve the AI Academy strategy and operating model.
Evolve the operating model that combines decentralized business ownership, local capability, embedded delivery (AI Enablement Partners) and central pathways, standards, advanced training and community.
Move the programme from broad access to depth of use — role-based capability, repeatable workflows and stronger guardrails — and set the roadmap for Tier 2 and Tier 3 advanced pathways.
Own and continuously improve the three-tier proficiency journey and the learning that underpins it.
Direct the core curriculum, including AI 101 (tool-agnostic foundations) and Copilot 101 (hands-on, department-specific delivery), and relaunch and run the advanced programme for power users.
Build advanced, role-specific content that closes the training ceiling advanced users report — prompting craft, Copilot Studio and agent design, Excel and productivity depth, and hallucination and governance guardrails.
Lead and grow the ATC network (departmental AI leads) and the Fighter Pilot cohorts, running the train-the-trainer model that cascades capability into every team.
Set standards, protected-time expectations and ways of working for the networks, and secure line-manager accountability for the agreed ATC time commitment.
Coach, develop and recognise champions, and build the community and peer learning that keeps them engaged and effective.
Own the AI Academy homepage and its sections — Overview, Learning Pathways, Community & News, Department Guidance and Responsible AI — as the single, trusted home for AI enablement.
Own the Use Case Library and Prompt Library, driving contribution, curation and reuse of proven patterns across departments, and consolidate AI training material into one channel and one brand.
Run the communications cadence — including the AI newsletter and the innovation community feed — and improve its relevance, engagement and discoverability.
Own the adoption dashboard and the Academy’s contribution to the ExCo scorecard, and evolve metrics from licence assignment and active use toward proficiency and depth of engagement.
Run structured user research (for example the quarterly interview corpus) to map demand, pain points and training needs, and prioritise the roadmap on the evidence.
Report progress, risks and decisions into the firm’s AI transformation governance, distinguishing clearly between prerequisites (access) and outcomes (value).
Embed the firm’s Responsible AI principles — Own the Output, Review Before Sharing, No Sensitive Data, Judgement First, Approved Tools Only, Usage Monitored — across all Academy content and pathways.
Partner with AI Governance, Technology, Security, Risk and Compliance so that tools taught and patterns shared stay within the firm’s data-privacy, security and responsible-AI posture.
Position the Academy as the adoption layer for the firm’s next horizon — enabling the safe, effective take-up of enterprise tools and agents the firm builds and buys, and leading the change management that goes with them.
Lead the central Academy team and specialist contributors (delivery, content and community), setting direction, standards and a high bar for quality.
Chair the Academy governance forum and the monthly ATC catch-up, and represent the Academy in the firm’s AI transformation leadership forums.
Carry out other duties as assigned.

Requirements

Proven leadership experience — building, leading and developing teams and/or distributed networks of champions across multiple business units, ideally in an enablement, capability or change context.
Strong, practical understanding of AI and GenAI concepts, capabilities and limitations, with the ability to translate them for non-technical audiences and set a credible direction for the programme.
Hands-on familiarity with the firm’s core toolkit — Microsoft Copilot and the M365 ecosystem, Copilot Studio and adjacent tooling — and a genuine appetite to evaluate, learn and deploy new tools as they emerge.
Demonstrated experience designing and running training, curriculum or capability-building programmes at scale, and the judgement to tell apart a session people endure from one they apply the next morning.
Excellent stakeholder management and influencing skills, with credibility across business and senior audiences and the ability to lead through influence where contributors are embedded in departments.
Practical change-management and adoption experience — you understand that access and training are only half the job, and that surfacing and removing adoption blockers is the other half.
Strong measurement literacy — comfortable designing surveys, interpreting adoption data and building scorecards, and disciplined about the difference between adoption (a prerequisite) and value (the goal).
Self-directed and comfortable operating with ambiguity — the Academy is being scaled and reshaped, and you will define how much of it runs, with sponsorship but without a detailed playbook.
Strong documentation instincts — you produce reusable curriculum, pathways and playbooks that outlast your direct involvement and can be picked up by others.
Experience working in a regulated environment (financial services, asset management or comparable) where governance, compliance and data sensitivity shape how solutions are designed and deployed.
Willingness to adhere to the provisions of our Investment Advisory Code of Ethics related to personal securities activities and other disclosure and certification requirements, including past political contributions and political activities.
Understanding of the regulatory obligations of the firm, and abide by the regulated entity requirements and JHI policies applicable for your role.

Skills

AI
GenAI
Microsoft Copilot
M365 ecosystem
Copilot Studio
Change Management
Adoption
Measurement
Documentation
Stakeholder Management
Influencing Skills
Team Leadership
Curriculum Design
Capability Building

Location

Hybrid

Work Type

Hybrid

Experience Level

Leadership

Salary/Compensations

Position may be eligible to receive an annual discretionary bonus award from the profit pool. The profit pool is funded based on Company profits. Individual bonuses are determined based on Company, department, team and individual performance.

Benefits

Hybrid working and reasonable accommodations
Generous Holiday policies
Excellent Health and Wellbeing benefits including corporate membership to Wellhub
Paid volunteer time to step away from your desk and into the community
Support to grow through professional development courses, tuition/qualification reimbursement and more
Maternal/paternal leave benefits and family services
All employee events including networking opportunities and social activities
Lunch allowance for use within our subsidized onsite canteen
Competitive compensation
Pension/retirement plans
Various health, wellbeing and lifestyle benefits

About the Company

A career at Janus Henderson is more than a job, it’s about investing in a brighter future together.
Our Mission at Janus Henderson is to help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world-class service. We will do this by protecting and growing our core business, amplifying our strengths and diversifying where we have the right.
Our Values are key to driving our success, and are at the heart of everything we do: Clients Come First - Always | Execution Supersedes Intention | Together We Win | Diversity Improves Results | Truth Builds Trust

Equal Opportunity

Janus Henderson Investors is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. All applications are subject to background checks.