Product Manager Data Productivity & Governance

London - UK

Monthly Salary: Not Disclosed

Posted on: 3 days ago

Vacancies: 1 Vacancy

Job Summary

What this role is about

Were looking for a Product Manager to shape how Wise builds and uses data at scale. Youll build platform capabilities that make data feel like a great product: easy to find easy to trust and safe to use across engineering product analytics risk privacy and operations.

Youll own product work that replaces siloed knowledge and manual processes with clear self-serve workflows. That means helping teams understand what data exists who owns it how its produced what it can be used for and how to get access. Youll build tooling that supports data classification permitted usage and retention and deletion requirements as part of everyday work - not as extra process.

The outcome is simple: teams spend less time chasing definitions debugging numbers or searching for the right table and more time shipping. Youll also help lay the foundations that make Wises data ready for AI enabling smarter internal tools and safer customer experiences.

This is a hands-on role with close collaboration across engineering and partner teams. Youll learn quickly ship practical improvements and directly influence how data is found understood and used across Wise.

Were building a team that reflects the customers we serve and we value diverse backgrounds and paths into product. If youre excited by the problem and can learn quickly wed love to hear from you - even if you dont meet every requirement. Were looking for curiosity sound judgement and a collaborative mindset.

What to expect in the role

As a PM in Platform you will be responsible for the product impact of key parts of our data productivity and governance platform. This is the trust and navigation layer that helps teams move quickly while keeping data secure and compliant by default.

Make data self-serve

Improve discovery with strong metadata clear ownership and simple trust signals.
Help teams quickly answer everyday questions: What is this data Can I trust it Where did it come from Who owns it

Turn governance into product

Build low-friction workflows such as secure auditable and usable access requests.
Translate privacy security and regulatory requirements into practical tooling so teams can do the right thing by default.

Prepare Wises data for AI

Build foundations like high-quality metadata lineage classification and reliability signals.
Scale through automation including automated classification and durable documentation.

Own delivery end to end

Lead capabilities from discovery and design through delivery and adoption.
Partner with engineers and architects to scope work make trade-offs and measure impact across reliability scalability efficiency and performance.

Drive adoption and outcomes

Run pilots onboard teams gather feedback and iterate quickly.
Track outcomes such as adoption asset ownership and tagging time to access and fewer incidents caused by unclear definitions or unknown lineage.

Qualifications :

About you

We are looking for someone who is curious structured and motivated by making complex systems feel simple.

What we are looking for

2 to 4 years experience in product technical programme analyst or adjacent roles ideally in data platform or security related products.
Experience shipping product work end to end from problem discovery to delivery and adoption.
Comfort writing clear user stories acceptance criteria and lightweight roadmaps with the ability to break down ambiguity into practical steps.
You are comfortable operating in a federated ownership model where teams own their own data and systems. You can influence without authority and build alignment across multiple stakeholders.
You can discuss APIs metadata data storage concepts and basic lineage and trust trade offs with engineers.
You enjoy talking to users observing where they struggle and turning that into product improvements.
Clear communication: strong written and verbal skills able to bring stakeholders along and explain decisions without jargon.

What will set you apart

Familiarity with data discovery and catalogue tools (DataHub OpenMetadata Unity Catalog) data profiling or automated classification and PII detection.
Exposure to privacy or compliance engineering (ROPA deletion and retention requirements consent management) or regulated contexts (GDPR APRA).
Interest in AI enablement: how metadata lineage and quality signals unlock better automation and safer ML.

Additional Information :

For everyone everywhere. Were people building money without borders without judgement or prejudice too. We believe teams are strongest when they are diverse equitable and inclusive.

Were proud to have a truly international team and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected empowered to contribute towards our mission and able to progress in their careers.

If you want to find out more about what its like to work at Wise visit .

Keep up to date with life at Wise by following us on LinkedIn and Instagram.

Remote Work :

Employment Type :

Full-time

What this role is aboutWere looking for a Product Manager to shape how Wise builds and uses data at scale. Youll build platform capabilities that make data feel like a great product: easy to find easy to trust and safe to use across engineering product analytics risk privacy and operations.Youll own...