Delivery Enablement Lead AI - Technology

Janus Henderson AAA CLO ETF; Denver (CO); On-site; USD 145,000 - 160,000; Full time

Benefits offered by this job

Hybrid working

Health and wellbeing benefits

Volunteer time off

Professional development support

Parental leave

Job summary

Janus Henderson Investors is seeking a Delivery Enablement Lead AI - Technology to drive successful delivery across multiple teams and domains, removing impediments and aligning dependencies. You will partner with Product Managers, Product Owners, Scrum Masters and senior stakeholders to ensure strategic AI initiatives are delivered effectively.

This hybrid role offers comprehensive benefits and growth opportunities.

Qualifications

• AI platform & tooling strategy governance
• Deliver AI transformation programs
• Executive governance support
• Deputise for senior leaders
• Influence senior stakeholders and executive decisions
• Cross-functional delivery management

Responsibilities

• Coordinate delivery across AI initiatives and governance forums.
• Prepare executive briefs and decision papers.
• Facilitate senior stakeholder decision-making sessions.
• Maintain visibility of AI risks, dependencies and milestones.
• Support operational readiness and adoption of AI solutions.

Skills

AI governance

Executive governance

Stakeholder management

Agile delivery

Cross-functional leadership

Regulated environment

Risk management

Facilitation

Communication

Jira tooling

Tools

Jira

Job description

Delivery Enablement Lead AI - Technology

The Delivery Enablement Lead is responsible for enabling successful delivery across multiple teams, products and technology domains. This role drives alignment, removes impediments, manages dependencies and provides visibility of delivery performance at the Value Stream Level. The position partners with Product Managers, Product Owners, Scrum Masters, Technology Leads and senior stakeholders to ensure strategic initiatives are delivered effectively and efficiently.

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.
• 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.
• Identify opportunities to improve AI governance, delivery practices and operating models.
• Promote effective ways of working across AI programmes and governance forums.
• Share lessons learned and embed best practice across AI initiatives.
• Support continuous evolution of the organisation’s AI Enablement capability.

Benefits

• Hybrid working and reasonable accommodations
• 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
• Unique employee events and programmes including a 14er challenge
• Complimentary beverages, snacks and all employee Happy Hours

Must have skills

• Experience supporting AI Platform & Tooling Strategy and Governance for model integration layers, and developer tooling (e.g., Copilot, prompt management, evaluation pipelines)
• Demonstrable experience delivering AI transformation programmes in complex organisations.
• Experience supporting executive governance and preparing senior leaders for strategic meetings.
• Proven ability to deputise for senior leaders and represent organisational priorities with credibility.
• Strong track record of influencing senior stakeholders and facilitating executive decision‑making.
• Experience managing cross‑functional programmes involving Technology, Data, Security and Business teams.
• Strong organisational, planning and stakeholder management skills.
• Experience managing risks, dependencies and strategic delivery issues.
• Excellent facilitation, negotiation and communication skills.
• Familiarity with Agile delivery methodologies and portfolio governance.
• Experience operating within regulated or large enterprise environments.
• Familiarity with agent‑orchestration layers, model‑evaluation harnesses, or LLM‑backed product features at production scale

Nice to have skills

• Experience in Financial Services or related field
• Knowledge of risk, compliance, and governance frameworks relevant to regulated industries.
• Experience with enterprise AI governance frameworks and Responsible AI practices.
• Experience operating within regulated or large enterprise environments.
• Experience with Agile delivery tooling, including Jira and associated reporting platforms.

Supervisory responsibilities

• No

Potential for growth

• Regular training
• Continuing education courses

Compensation information

The base salary for this position is $145,000 - $160,000. This range is estimated for this role. Actual pay may be different. This range will be posted through July 9, 2026.

Annual Bonus Opportunity: 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: Janus Henderson is committed to offering a comprehensive total rewards package to eligible employees that includes competitive compensation, pension/retirement plans, and various health, wellbeing and lifestyle benefits. To learn more about our offerings please visit the Why Join Us section on the career pagehere.

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.

You should be willing 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. Applicants’ past political contributions or activity may impact applicants’ eligibility for this position.