Sales Analytics Product Manager

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  

Client analytics is the engine that powers how Janus Henderson engages advisors, intermediaries, consultants, and institutional clients around the world. As Product Manager, Client Analytics, you will set the vision, strategy, and roadmap for an AI-native client intelligence portfolio that turns data into commercial outcomes - meetings booked, mandates won, clients retained, and AUM converted.

A central focus of the role is delivering and scaling the firm's next-generation sales intelligence capability, an agentic, AI-driven system that tells salespeople who to call, when, and why. It combines quantitative holdings and flow data, internal CRM intelligence, and external event signals into a ranked, actionable view of the client universe, extending proven data-driven prioritization from our most mature distribution channel to underserved channels and regions globally.

Alongside this flagship capability, you will own a broader portfolio of scalable global analytics solutions used by Sales, Marketing, Distribution Strategy & Analytics, and Investment partners. You will be the trusted advisor who understands business objectives and roadmaps, and guides senior stakeholders on how best to achieve them with advanced, AI-driven analytics.

Your goal is to deliver scalable global analytics solutions that meet the needs of multiple client groups. Your aim is to be become a trusted advisor who understands business objectives and roadmaps, guiding senior stakeholders on how best to achieve these objectives with advanced analytic solutions.

Key responsibilities

+  Product Vision & Strategy  

+  Define and evolve the product vision for Client Analytics across the asset management distribution lifecycle - prospecting, prioritization, engagement, retention, and growth.

+  Own a multi-year strategy that aligns AI-driven client intelligence with Distribution and firm-wide commercial priorities.

+  Set the bar for what "great" looks like in client-facing analytics, balancing global consistency with regional and channel-specific needs across intermediary and institutional segments.

+  Articulate the path from today's analytics estate to an AI-native sales operation in which client-facing prioritization, signal tracking, and outreach activity converge in a single environment.

+  AI-driven Sales Intelligence Delivery & Scale  

+  Lead end-to-end delivery of the firm's AI-driven sales intelligence capability, from scoping and discovery through build, internal QA, phased rollout, and ongoing optimization.

+  Run embedded discovery sessions with regional sales teams to map prioritization workflows and confirm the universe of next-best-action types the system should recommend.

+  Define the signal schema, the scoring objective (allocation likelihood), and persona-driven customization down to the individual client level.

+  Direct the onboarding and integration of third-party data feeds--including holdings, fund flow, allocation, mandate, and market intelligence sources--into the firm's cloud data platform.

+  Partner with Data Science and Engineering on the agentic pipeline that underpins the product: signal extraction agents that turn unstructured data into structured inputs; a scoring/ranking model that allocates attention across the client universe; a natural-language explanation module that generates a "why now" narrative for each contact; and a next-best-action module that recommends the appropriate engagement step.

+  Surface real-time opportunity alerts (e.g., public opportunities such as RFP releases, leadership changes, fund restructuring, and M&A) into the ranked view.

+  Enable user-contributed lead enrichment so sales teams can feed non-public context back into the signal pipeline.

+  Embed the ranked output directly inside the CRM workflow used by sales teams, rather than alongside it, and map persona-level recommendations to the right client owner.

+  Establish outcome-based feedback loops so the platform is tuned end-to-end against downstream business results--meetings booked and AUM converted--and gets sharper over time.

+  Sequence rollout across regions and channels (e.g., starting with internal QA with sales ops, then deployment to international distribution teams, then…