
Product Manager – Talent Solutions Data Products
- London
- Permanent
- Full-time
- Own the product lifecycle for client-facing B2B products —from concept to launch—on our industry leading Human Capital Analytics platform.
- Be outcome focussed - relentlessly focussing on outcomes over outputs—driving product decisions based on measurable client impact, business value, and real-world adoption rather than feature delivery alone.
- Translate client needs into data products, working closely with UX, engineering, data science, and commercial teams to define and deliver solutions
- Act as the voice of the client -engage directly with users and buyers to understand problems and validate opportunities
- Shape and prioritise the product roadmap based on customer insight, market dynamics, data feasibility, and commercial potential
- Dive deep into our data – exploring the data and story to help inform and validate design and product decisions.
- Collaborate across the business to ensure smooth delivery—whether that’s scoping feature requirements, resolving trade-offs, or removing blockers for engineering
- Champion product quality and data perfection, partnering with internal analysts and QA to ensure we ship trusted and intuitive tools
- Support go-to-market planning, including customer onboarding, commercial packaging, and positioning of new features
- Partner with our product analytics team to define success metrics, track performance, and use data-driven insights to continuously refine and optimise product features and user experience.
- Extensive experience in product management or a similar role focused on data-centric B2B software
- Track record of building and delivering client-facing digital products, ideally with experience supporting enterprise clients
- Comfort working directly with customers, including client workshops, roadmap presentations, and feedback sessions
- Technically confident—you can engage engineers, understand data models, and break down complex issues without needing to code
- Excellent communication skills, both verbal and written—you can explain data products to non-technical partners
- Collaborative and delivery-focused—you move projects forward and bring others with you
- Experience working with data science or ML-based product features
- Exposure to compensation, HR technology, total rewards platforms, or people analytics
- Familiarity with financial services, consulting, or market intelligence sectors