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Product Manager – AI & SaaS – Health & Life Sciences, Ref: 062

Role Type

Product Owner, Product Manager – ideally in healthtech / digital health or life sciences. Strong interest in data / data analytics

Skills / Experience

Product Strategy & Execution inc Product Roadmap, Customer & Market Insight, Data & Experience Design, Compliance & Governance inc GDPR. Technical – APIs · HL7/FHIR · SQL · Kafka · OCI · AWS · REST · Postman, Jira · Confluence · GitHub · Figma · Lucidchart · Miro · Bubble

Availability

Immediate

Contract Preference

Permanent or contract. Would also consider fractional for strategic related work

Salary / Rate Expectation

C£60k/£70k or £400 per day (outside IR35)

Profile

Product Manager with 5+ years of end-to-end product ownership and 15+ years in health and life sciences tech, covering roles in QA leadership, product ownership, and analytics. Deeply experienced in building AI-powered SaaS and data platforms across regulated healthcare environments. Skilled in turning customer insight into roadmap clarity and aligning cross-functional teams to ship at speed. Proven success driving adoption, reducing churn, and unlocking growth through data-informed decisions, platform thinking, and stakeholder collaboration.

CAREER HIGHLIGHTS

  • Scaled adoption by 3x in 8 weeks by rebuilding clinician-facing analytics on a modern event-driven stack
  • Generated £3M+ in new revenue through GTM optimisation and expanding enterprise client footprints
  • Cut delivery cycle by 50% by leading an Agile transformation across 100+ global team members
  • Reduced onboarding and compliance friction, boosting user satisfaction and retention across regulated SaaS tools

CORE COMPETENCIES

  • Product Strategy & Execution: Roadmap ownership · Discovery to delivery · Agile/SAFe · JTBD · GTM execution
  • Customer & Market Insight: Stakeholder alignment · VoC · Hypothesis testing · Metrics-led iteration
  • Technical Acumen: APIs · HL7/FHIR · SQL · Kafka · OCI · AWS · REST · Postman
  • Data & Experience Design: Embedded analytics (Databox, Tableau, Oracle) · Dashboard UX · Insight synthesis
  • Tooling & Delivery: Jira · Confluence · GitHub · Figma · Lucidchart · Miro · Bubble
  • Compliance & Governance: GDPR · GxP · 21 CFR Part 11 · NHS standards · ISO 42001

 

Experience

Aug 2024 – Feb 2025 – Product & Analytics Consultant (PM – Contract role)

  • Defined vision and roadmap for a compliance analytics suite; shipped MVP in 10 weeks
  • Ran 15+ discovery interviews to uncover root friction in manual compliance tracking
  • Delivered a compliance tracker improving adherence by 30% and reducing manual reporting by 60%
  • Migrated legacy ETL flows to Kafka, increasing data freshness by 85%
  • Led tool evaluation and transitioned to Databox for embedded analytics, cutting dashboard TCO by 40% and load time by 30%
  • Supported market research and validation for launch of new health SaaS product

Nov 2018 – Aug 2023 – Product Manager – Software Vendor (Health Sciences & Research)

  • Transitioned into full product ownership after 10+ years in QA leadership and product owner roles
  • Owned product delivery for the company’s clinical trial data platforms, working across global pharma clients and internal engineering teams.
  • Delivered 30+ enterprise rollouts for clients, cutting onboarding time by 28% and boosting go-live velocity
  • Built user feedback loops that influenced core product roadmap and feature design
  • Improved sales enablement with tighter product-market fit messaging, supporting multiple wins
  • Conducted usability testing and card sorting for workflow optimisations in trial design platform
  • Integrated platform with the company’s ecosystem, shortening time-to-market by 3 weeks

May 2009 – Nov 2018 – QA to Product Manager – Software Development Company

  • Directed product delivery for two B2B SaaS platforms used in US life sciences and clinical trial settings.
  • Conducted market analysis to identify unmet needs, contributing to successful new product launch
  • Validated features with pharmacy users using JTBD-informed discovery
  • Launched no-code form builder and protocol parser, reducing study start-up time by 25%
  • Integrated FHIR APIs for EHR interoperability, improving ingestion reliability
  • Partnered in pre-sales with CTO, securing over $750k in contracts
  • Ran A/B tests to improve UX for repeat prescription flows, increasing reuse rate by 31%

Sept 2024 – present – Volunteer – AI & Product Discovery for University Innovation Partnership

  • Contributing to AI-driven digital health projects with academic, clinical, and tech collaborators
  • Led workshops and co-designed solutions focused on improving health outcomes using real-world data

EDUCATION & QUALIFICATIONS

Sept 2023 – Sept 2024 – MSc Health Data Science (Distinction)

Thesis: Meta-analysis of glioblastoma expression profiles for AI-assisted drug discovery
Project work included AI-powered dashboards and data-informed clinical decision tools

CERTIFICATIONS

ISO 42001: AI Management Systems (2025)
Harvard Business School: Launching Tech Ventures (2024)
SAFe Product Owner/Product Manager (2023)
Oracle Cloud Infrastructure (OCI) (2023)
PMP (2017), PSM (2016)

 

For further information on this candidate please use reference number:  062

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01937 541888

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