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 firms 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 todays 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 firms 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 firms 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 expansion to institutional channels with an adapted signal stack).
Roadmap & Prioritization
Plan, prioritize, and maintain a 12-month rolling product roadmap that balances the flagship sales intelligence build-out, BAU enhancements to the existing analytics estate, and new client analytics opportunities.
Make data-driven trade-off decisions and develop business cases for senior stakeholders.
Partner with the Analytics Product Owner to translate strategic priorities into deliverable epics, features, and releases.
Ensure non-functional requirements--production readiness, observability, risk-based testing, and model governance--are scoped from the outset.
Plan and prioritize releases, determining timing and content for each.
Stakeholder Leadership
Serve as a trusted advisor to Distribution leadership, Sales, Sales Operations, Marketing, Distribution Strategy & Analytics, Enterprise Data Management, and Data Science teams.
Communicate progress, status, risks, and outcomes clearly and proactively to senior business sponsors across regions.
Translate complex AI, agentic, and analytics concepts into commercial language and decisions.
Act as the bridge between business stakeholders and the technical product team.
Technical & Analytical Leadership
Apply deep fluency in cloud data platforms, large language models, agentic AI pipelines, machine learning, and financial data management to shape product direction.
Apply knowledge of data warehouse concepts and experience designing star schemas to scale solutions responsibly.
Leverage Power BI and Tableau for high-impact data visualization where appropriate.
Collaborate with Analytics Domain Architects, Data Architects, and the broader Architecture community to implement best practices.
Stay abreast of emerging AI capabilities--including agent orchestration frameworks, retrieval-augmented generation, LLM evaluation, and end-to-end pipeline optimization--and translate them into product opportunities.
Team & Talent
Provide product leadership to a cross-functional pod of application engineers, data engineers, data scientists, data analysts, technical business analysts, and testers.
Lead and mentor team members, with a focus on skill development and personal growth goals.
Foster a culture of client obsession, disciplined experimentation, and measurable outcomes.
Capacity & Resource Planning
Lead work estimation exercises and determine resourcing required to deliver planned work.
For Enterprise projects, collaborate with Project Management colleagues to ensure resourcing supports delivery of prioritized projects and that accurate, robust delivery plans are developed.
Product Support
Serve as Level 2 or 3 support for issues that arise in your product area.
Collaborate with stakeholders on the correction (or not) of defects, balancing impact, risk, and roadmap commitments.
Carry out other duties as assigned.
What to expect when you join our firm
Must have skills
Nice to have skills
Supervisory responsibilities
Potential for growth
Compensation information
The base salary range for this position is $145,000-$160,000. This range is estimated for this role. Actual pay may be different. This position will be open through June 30, 2026.
Colorado law requires an estimated closing date for job postings. Please dont be discouraged from applying if you see this date has passed.
At Janus Henderson Investors we're committed to an inclusive and supportive environment. We believe diversity improves results and we welcome applications from candidates from all backgrounds. Don't worry if you don't think you tick every box, we still want to hear from you! We understand everyone has different commitments and while we can't accommodate every flexible working request, we're happy to be asked about work flexibility and our hybrid working environment. If you need any reasonable accommodations during our recruitment process, please get in touch and let us know at recruiter@janushenderson.com.
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 page here.
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.
Janus Henderson (including its subsidiaries) will not maintain existing or sponsor new industry registrations or licenses where not supported by an employee's job functions (as determined by Janus Henderson at its sole discretion).
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.
You will be expected to understand the regulatory obligations of the firm, and abide by the regulated entity requirements and JHI policies applicable for your role.