Product Manager - Data Productivity & Governance

Shape how Wise builds and uses data at scale as Product Manager for Data Productivity & Governance. Build platform capabilities making data easy to find, trust, and use across engineering, product, analytics, risk, privacy, and operations. Own product work replacing siloed knowledge and manual processes with clear self-serve workflows helping teams understand what data exists, who owns it, how it's produced, what it can be used for, and how to get access. Build tooling supporting data classification, permitted usage, and retention and deletion requirements as part of everyday work. Lay foundations making Wise's data ready for AI enabling smarter internal tools and safer customer experiences.

• Show 2-4 years experience in product, technical programme, analyst, or adjacent roles ideally in data, platform, or security related products. • Demonstrate experience shipping product work end-to-end from problem discovery to delivery and adoption. • Write clear user stories, acceptance criteria, and lightweight roadmaps with ability to break down ambiguity into practical steps. • Operate comfortably in federated ownership model where teams own their data and systems influencing without authority and building alignment across multiple stakeholders. • Discuss APIs, metadata, data storage concepts, and basic lineage and trust trade-offs with engineers. • Talk to users observing where they struggle and turning that into product improvements. • Communicate clearly with strong written and verbal skills bringing stakeholders along and explaining decisions without jargon.

• Have familiarity with data discovery and catalogue tools including DataHub, OpenMetadata, Unity Catalog, data profiling, or automated classification and PII detection. • Show exposure to privacy or compliance engineering including ROPA, deletion and retention requirements, consent management, or regulated contexts like GDPR and APRA. • Demonstrate interest in AI enablement understanding how metadata, lineage, and quality signals unlock better automation and safer ML.

• Lead product impact of key parts of data productivity and governance platform serving as trust and navigation layer helping teams move quickly while keeping data secure and compliant by default. • Improve data discovery with strong metadata, clear ownership, and simple trust signals helping teams quickly answer what data is, whether they can trust it, where it came from, and who owns it. • Build low-friction workflows including secure, auditable, and usable access requests translating privacy, security, and regulatory requirements into practical tooling enabling teams to do right thing by default. • Build foundations for AI including high-quality metadata, lineage, classification, and reliability signals scaling through automation including automated classification and durable documentation. • Lead capabilities from discovery and design through delivery and adoption partnering with engineers and architects to scope work, make trade-offs, and measure impact across reliability, scalability, efficiency, and performance. • Run pilots, onboard teams, gather feedback, and iterate quickly tracking outcomes including adoption, asset ownership and tagging, time to access, and fewer incidents caused by unclear definitions or unknown lineage.

• Receive base salary of £70k-£88k annually. • Earn RSUs in growing publicly listed company. • Work from almost anywhere in world for up to 90 days per year. • Enjoy flexible working trusted to do right thing and be responsible. • Access Private Medical Insurance and Life Insurance. • Receive discounted gym memberships and cycle to work scheme. • Take paid 6-week sabbatical leave after four years. • Benefit from 26 weeks maternity leave at full pay. • Access annual self-development budget. • Participate in annual Mission Days festival. • Work in pet-friendly offices.

Wise is a global technology company building the best way to move and manage the world's money with minimum fees, maximum ease, and full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on mission to make their lives easier and save them money. As part of the team, you will help create an entirely new network for the world's money for everyone, everywhere.