AI Business Partner

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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

Janus Henderson is undertaking a firm-wide AI Transformation program to embed AI capabilities across every business function. The AI Business Partner is a new role at the heart of this effort — you will be embedded directly within a business unit, working side-by-side with teams to identify high-value AI opportunities, build practical solutions, and drive measurable adoption. Over time, you will rotate across departments, carrying proven patterns and solutions with you and adapting them to new contexts.

This is not a training role that sits on the sidelines, and it is not a pure technology role that builds in isolation. You will operate at the intersection of business process expertise, AI solution development, and change enablement — translating real workflow pain points into working AI solutions that people actually use.

You will be part of the Innovation team and work within the AI Academy framework, partnering closely with department AI champions (Air Traffic Controllers) and advanced users (Fighter Pilots) to scale AI capability from within the business. Your primary toolkit today is the Microsoft Copilot ecosystem, but the firm’s AI strategy is platform-agnostic — you will be expected to evaluate, learn, and deploy new tools as they emerge.

• Embed within an assigned business unit to discover, scope, and prioritise AI use cases by working directly with teams to understand their workflows, pain points, and opportunities — then rotate to new departments, bringing replicable solutions with you
• Work with teams to agree practical measures of success so impact is clear and visible for AI initiatives, ensuring all solutions are aligned with strategic business objectives and progress and benefits are captured in a simple, transparent way
• Design and build intelligent solutions using Microsoft Copilot Studio, Power Automate, and the broader M365 ecosystem — from rapid prototypes to scalable, reliable agents that can be adopted by business teams
• Conduct ongoing research into emerging AI technologies—such as Claude desktop, agentic AI platforms, and custom LLM applications—to identify and evaluate their suitability for the firm’s evolving toolkit. Actively investigate alternative tools and approaches, building robust use cases through experimentation and analysis to determine where these technologies can add value and drive innovation within the organization
• Shape simple value cases for priority initiatives, linking ideas to expected business benefits, clearly linking proposed AI solutions to measurable KPIs such as hours saved, quality improvement scores, risk reduction percentages, and revenue growth figures. Track and report these outcomes to ensure alignment with organizational objectives and to enable data-driven decision-making.
• Analyze current business capabilities and use cases to tailor coaching and upskilling for business users in prompt engineering, effective AI tool usage, and solution design—ensuring training is relevant, impactful, and builds lasting departmental capability that could be scalable
• Collaborate with departmental AI champions (ATCs) to strategically identify, mentor, and develop “Fighter Pilots”—the next generation of AI leaders—who will drive, sustain, and scale AI adoption within their departments, ensuring continuity and long-term impact of the AI strategy beyond your initial enablement phase
• Help teams quickly assess which AI opportunities are worth pursuing, how they can scale, and the best route to delivery, guiding decisions on whether each opportunity should be owned by business users, AI Business Partners, process automation teams, Technology, or an external development partner.
• Document reusable prompts, patterns, and lessons learned