Rinaz Jainudeen
Rinaz Jainudeen Product Manager, Capgemini Invent · London

AI product managerwho ships.

I own live services at national scale in regulated environments, take new products from discovery to an approved MVP, and build features myself by directing AI coding tools.

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transactions a year across four live DWP services, with task completion above 90%
800,000+
improvements shipped in 10 months, leading a cross-functional team of 13
40+
average modernisation time for 30 DEFRA legacy applications, down from six months
12 weeks

Selected work

Problems, decisions, results

Five pieces of work from the last few years, from running live public services to taking a SaaS product through a redesign.

Live services

Four live health and disability services

DWP, via Capgemini Invent · Sept 2024 to Jun 2026

Problem
Four live services processing over 800,000 transactions a year needed to keep improving on a tight budget, while one service was transitioned and another decommissioned.
What I did
Set a prioritised roadmap within the budget and led a cross-functional team of 13, shipping over 40 improvements in 10 months across security, accessibility (WCAG 2.2) and user-facing features.
Outcome
Task completion above 90%, user satisfaction of 80% and digital uptake of 80%. Consistent delivery built trust with senior stakeholders and contributed to a £2.8M contract extension.
Discovery to MVP

A new complaints service

DWP Health Transformation, via Capgemini Invent · Mar 2026 to Jun 2026

Problem
A new service was needed to handle 30,000 complaints a year across four separate providers.
What I did
Led discovery and design with a team of seven, and defined an MVP built to work for all four providers.
Outcome
All four providers reviewed and approved the MVP, readying it for a multi-provider build.
AI-assisted delivery

Modernising 30 legacy applications

DEFRA Legacy Application Programme · Jul 2026 to Sept 2026

Problem
Thirty legacy applications needed modernising, and each took six months on average.
What I did
Helped delivery teams adopt AI-assisted delivery. Led a team of five engineers, business analysts and UX designers, advised Deputy Directors and removed blockers on tooling and legacy code access.
Outcome
Average modernisation time cut from six months to twelve weeks.
Built with Claude Code

Internal AI product platform

Capgemini Invent AI and Product Transformation Community · May 2026 to present

Problem
A community of 30+ product managers needed one place for profiles, CVs, case studies and events.
What I did
Built and shipped four features (PM directory with CV export, CV importer, case-study library, events hub) by directing Claude Code, v0 and GitHub Copilot. Automated a weekly feed of UK product events with a human approval step before anything is published.
Outcome
Live and used by all 30+ product managers. A separate AI learning pathway I designed was made mandatory across Capgemini Invent, with over 100 people enrolled.
B2B SaaS

Moata Route Optimiser: strategy and redesign

Mott MacDonald · 2024

Problem
A cloud-based geospatial SaaS product for large-scale infrastructure planning needed a clear direction and a better user experience.
What I did
Defined a one-year product strategy from market analysis and competitor benchmarking and won senior leadership buy-in. Led a UX redesign based on user feedback and mental-model analysis, and ran all scrum ceremonies.
Outcome
User engagement up 10%, with improved task completion.

Things I've built

Products I build myself

Products I've taken from specification to working software myself, by directing Claude Code.

Live · Nov 2026

Next Step PM

A free public web tool that turns nine questions about a product manager's role and challenges into a tailored learning plan.

  • Built and shipped from specification to production on Vercel by directing Claude Code.
  • A rules engine over 171 reusable learning blocks, including a Director and VP view.
  • Automated checks stop invalid content reaching production.
Try Next Step PM (opens in a new tab)
Working build · 2025

Work-experience placement platform

A working platform that matches students to work-experience placements, built by directing Claude Code.

Not yet launched

How I work

Four habits that show up in every project

Drawn from running live public services, early-stage discovery and my own builds.

  1. Start from user needs

    Research with the people who use the product, from clinicians on the NHS New Hospital Programme to Moata users whose feedback shaped the redesign.

  2. Measure the outcome

    Success is task completion, satisfaction and uptake, tracked and sustained on services handling over 800,000 transactions a year.

  3. Build with AI tools myself

    I direct Claude Code, v0 and GitHub Copilot to ship working features, from an internal platform used by 30+ PMs to a public tool on Vercel.

  4. Ship safely where rules matter

    Security and WCAG 2.2 accessibility on government services, human approval before automated content goes out, and checks that stop bad content reaching production.

Toolkit

What I work with

AI build tools

  • Claude Code
  • v0
  • GitHub Copilot
  • Replit
  • Vercel

Product practice

  • Strategy
  • Roadmapping
  • Discovery
  • Prioritisation
  • User research
  • A/B testing
  • Agile delivery
  • Stakeholder management

Tools and certifications

  • Jira
  • Confluence
  • Figma
  • Miro
  • Power BI
  • Anthropic Claude Associate
  • Anthropic AI Fluency
  • APM PMQ

Experience

Eight years across product, data and delivery

The full detail is in my CV (PDF).

  1. Sept 2024 to present

    Product Manager, Capgemini Invent

    DWP live services, DWP complaints service, DEFRA modernisation, internal AI platform and the AI and Innovation Lab, where I created the prioritisation framework and set the commercial strategy for its paid client offer.

  2. Jan 2022 to Aug 2024

    Mott MacDonald

    • Associate Product Manager (2024): Moata Route Optimiser
    • Digital Consultant, Product Manager (2023 to 2024): NHS New Hospital Programme toolkit, discovery to alpha
    • Data Analyst (2022 to 2023): Power BI dashboard that cut manual reporting by 75%
  3. 2018 to 2022

    Project Manager, Jacobs and Mott MacDonald

    Infrastructure and digital transformation projects.

  4. 2018

    MEng Civil Engineering, UCL

    Minor in Finance and Accounting, Project Management and Data Analysis. Scholarship for outstanding academic achievement.