Delivery Enablement Lead AI - Technology
Listed on 2026-07-25
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IT/Tech
IT Project Manager, Change Management, AI Business & Operations
Why work for us?
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
If our mission, values, and purpose align with your own, we would love to hear from you!
Your opportunity
This role sits within the Office of the Chief Technology Officer function of Janus Henderson Investors’ Global Technology organization. Global Technology consists of ~450 employees across the UK, the US, Australia, and other APAC countries.
Janus Henderson has adopted Agile ways of working to support the effective delivery of technology and business change across its Value Streams.
The Delivery Enablement Lead is responsible for enabling successful delivery across multiple teams, products and technology domains. This is achieved by driving alignment, removing impediments, managing dependencies and providing visibility of delivery performance. The role operates primarily at a Value Stream Level, partnering with Product Managers, Product Owners, Scrum Masters, Technology Leads and senior stakeholders to ensure strategic initiatives are delivered effectively and efficiently.
The Delivery Enablement Lead acts as a servant leader and delivery facilitator, helping teams maintain momentum while driving operational excellence, governance and continuous improvement across the organisation.
In this role, you will play key role in:
AI Strategy, Governance and Executive Support
Support the AI Enablement Lead in preparing for and coordinating key governance and leadership forums.
Develop executive-quality briefing materials, agendas, decision papers and action tracking.
Track strategic AI initiatives and provide visibility of progress, risks, dependencies and decisions.
Leadership and Representation
Deputise for the Head of AI Engineering in governance forums, executive meetings and stakeholder engagements.
Represent the AI Engineering function across Technology and Business leadership meetings.
Build trusted relationships with stakeholders across Technology, Risk, Security, Legal, Data and Business functions.
Influence and facilitate executive decision-making to remove blockers and maintain momentum across AI initiatives.
AI Programme Delivery
Coordinate delivery of strategic AI initiatives
Monitor delivery milestones, dependencies, risks and outcomes across multiple AI initiatives.
Support operational readiness and successful adoption of AI-enabled solutions.
Stakeholder Engagement and Decision Enablement
Facilitate decision-making sessions with senior business and technology leaders.
Prepare recommendations and options papers to support informed executive decisions.
Build consensus across diverse stakeholder groups where priorities compete.
Escalate delivery, governance or organisational issues appropriately and drive timely resolution.
AI Governance and Risk Management
Support implementation and continuous improvement of AI governance frameworks.
Coordinate governance activities relating to AI tooling, model usage, risk, compliance and responsible AI practices.
Maintain visibility of key AI risks, issues, dependencies and mitigation plans.
Ensure governance decisions are documented, communicated and embedded across programmes.
Cross-Functional Coordination
Coordinate activities across Technology, Data, Security, Infrastructure, Architecture, Risk, Legal and Procurement teams.
Promote collaboration across business and technology functions to enable successful AI adoption.
Identify organisational dependencies and facilitate resolution of cross-functional issues.
Continuous Improvement
Identify opportunities to improve AI governance, delivery practices and operating models.
Promote effective ways of working…
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