AI Business Partner

Janus Henderson Investors•Denver, CO

2d•$110,000 - $200,000•Hybrid

About The Position

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.

Requirements

Hands-on experience building solutions with Microsoft Copilot Studio, Power Platform (Power Automate, Power Apps), or similar low-code/no-code AI tooling — you should be able to take a business problem and turn it into a working agent or automation
Demonstrable experience with multiple AI/GenAI tools and platforms — you are not locked into one ecosystem and can evaluate, learn, and deploy new tools as they emerge
Strong business analysis capability — you can map complex business processes, identify where AI adds genuine value, and distinguish between problems that need AI and problems that need better process
Excellent communication and stakeholder management across all levels — equally comfortable presenting ROI cases to senior leaders as you are coaching a team member through their first prompt
Practical experience with change management or technology adoption — you understand that building a solution is half the job; getting people to use it is the other half
Working knowledge of prompt engineering and GenAI application design — not just using AI tools, but designing multi-step workflows, agent architectures, and conversational experiences
Self-directed and comfortable operating with ambiguity — you will be embedded in business teams without a detailed playbook, expected to support identification of what matters most and act on it
Strong documentation instincts — you create clear, reusable guides, solution templates, and training materials that outlast your direct involvement

Nice To Haves

Direct experience in financial services or asset management — understanding of investment processes, client service, middle and back office workflows is very beneficial to the applicant
Experience designing practical technology solutions in environments where security, data sensitivity, and responsible delivery matter
Deep familiarity with the Microsoft 365 ecosystem — SharePoint, Teams, Dataverse, Azure AI services — and how they interconnect
Background in engineer, consulting, internal advisory, or embedded specialist roles where you had to earn credibility and deliver results without direct authority
Experience with ROI measurement and value tracking for technology implementations — building the case, defining the metrics, and following through on outcomes
Understanding of data governance, responsible AI principles, and the emerging regulatory landscape for AI
Experience training, mentoring, or coaching others in technology adoption — particularly non-technical users
Product management sensibility — ability to think in terms of MVPs, iteration, user feedback, and feature prioritisation
Microsoft certifications in AI, Power Platform, or Copilot Studio

Responsibilities

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 so successful solutions can be shared and adapted across teams in the firm’s AI knowledge base, ensuring clear, context-independent records that enable seamless cross-departmental replication and understanding.
Work closely with Technology and relevant control partners to help solutions move safely and smoothly from idea to adoption, actively coordinating to ensure all AI solutions are safe, responsible, and aligned with the firm’s expectations on security and data privacy
Stay current with evolving AI capabilities — Copilot feature releases, agentic AI patterns, new tooling — and translate these into practical applications for your business units

Benefits

Hybrid working and reasonable accommodations
Generous Holiday policies
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
Complimentary subscription to Headspace – the mindfulness app
Corporate membership to ClassPass and other health and well-being benefits
Unique employee events and programs including a 14er challenge
Complimentary beverages, snacks and all employee Happy Hours
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.
competitive compensation
pension/retirement plans
various health, wellbeing and lifestyle benefits