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Job Details

Wise logo
FinTech

Product Manager - Data Productivity & Governance

at Wise

ExperiencedNo visa sponsorship

Posted 17 days ago

No clicks

We’re looking for a Product Manager to shape how Wise builds and uses data at scale, making data easy to find, trust, and use across engineering, product, analytics, risk, privacy and operations. You will build platform capabilities and low-friction workflows for discovery, access, classification, retention and deletion, and help prepare Wise’s data for AI. The role is hands-on and end-to-end, partnering with engineers and stakeholders to scope, deliver and drive adoption of solutions that reduce time spent chasing definitions and debugging numbers. Suitable for candidates with ~2–4 years of experience in product, technical programme, analyst or adjacent roles.

Compensation
£70,000 – £88,000 GBP

Currency: £ (GBP)

City
London
Country
United Kingdom

Full Job Description

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Product Manager - Data Productivity & Governance

Salary:
70000 - 88000 GBP Annual
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Company Description

Wise is a global technology company, building the best way to move and manage the world’s money.
Min fees. Max ease. Full speed.

Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.

As part of our team, you will be helping us create an entirely new network for the world's money.
For everyone, everywhere.

More about our mission and what we offer.


Job Description

What this role is about

We’re looking for a Product Manager to shape how Wise builds and uses data at scale. You’ll 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.

You’ll 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 it’s produced, what it can be used for, and how to get access. You’ll 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. You’ll also help lay the foundations that make Wise’s 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. You’ll learn quickly, ship practical improvements, and directly influence how data is found, understood and used across Wise.

We’re building a team that reflects the customers we serve, and we value diverse backgrounds and paths into product. If you’re excited by the problem and can learn quickly, we’d love to hear from you - even if you don’t meet every requirement. We’re 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 Wise’s 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. We're people building money without borders  — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.

We're 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 it's like to work at Wise visit Wise.Jobs.

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

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Company Description

Wise is a global technology company, building the best way to move and manage the world’s money.
\nMin fees. Max ease. Full speed.

Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.

As part of our team, you will be helping us create an entirely new network for the world's money.
\nFor everyone, everywhere.

More about our mission and what we offer.


Job Description

What this role is about

We’re looking for a Product Manager to shape how Wise builds and uses data at scale. You’ll 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.

You’ll 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 it’s produced, what it can be used for, and how to get access. You’ll 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. You’ll also help lay the foundations that make Wise’s 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. You’ll learn quickly, ship practical improvements, and directly influence how data is found, understood and used across Wise.

We’re building a team that reflects the customers we serve, and we value diverse backgrounds and paths into product. If you’re excited by the problem and can learn quickly, we’d love to hear from you - even if you don’t meet every requirement. We’re 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 Wise’s 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. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.

We're proud to have a truly international team, and we celebrate our differences.
\nInclusive 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 it's like to work at Wise visit Wise.Jobs.

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

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More about the team

Find out more about our team, how we work and other open roles.

View the team
[id="d43981d3-b437-460c-814f-aa83b0bafda7"]:not(.custom-styled) .banner-customhtml { background-size: cover; height: 350px; width: 100%; }

Find out more about what we offer our employees

From me days to mission days, sabbaticals to stock, and everything in between. For everyone, everywhere. We’re people building money without borders. Find out what you'll get if you join us.

What we offer

Join us

For everyone, everywhere. We’re people building money without borders.
View open roles

Product Manager - Data Productivity & Governance

  1. __vacancyopjusttionswidget.opt-Locations__
    London
  2. document.body.className += " locations-london";
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Job Details

Wise logo
FinTech

17 days ago

clicks

Product Manager - Data Productivity & Governance

at Wise

ExperiencedNo visa sponsorship

£70,000 – £88,000

GBP

City: London

Country: United Kingdom

We’re looking for a Product Manager to shape how Wise builds and uses data at scale, making data easy to find, trust, and use across engineering, product, analytics, risk, privacy and operations. You will build platform capabilities and low-friction workflows for discovery, access, classification, retention and deletion, and help prepare Wise’s data for AI. The role is hands-on and end-to-end, partnering with engineers and stakeholders to scope, deliver and drive adoption of solutions that reduce time spent chasing definitions and debugging numbers. Suitable for candidates with ~2–4 years of experience in product, technical programme, analyst or adjacent roles.

Full Job Description

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Product Manager - Data Productivity & Governance

Salary:
70000 - 88000 GBP Annual
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Company Description

Wise is a global technology company, building the best way to move and manage the world’s money.
Min fees. Max ease. Full speed.

Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.

As part of our team, you will be helping us create an entirely new network for the world's money.
For everyone, everywhere.

More about our mission and what we offer.


Job Description

What this role is about

We’re looking for a Product Manager to shape how Wise builds and uses data at scale. You’ll 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.

You’ll 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 it’s produced, what it can be used for, and how to get access. You’ll 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. You’ll also help lay the foundations that make Wise’s 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. You’ll learn quickly, ship practical improvements, and directly influence how data is found, understood and used across Wise.

We’re building a team that reflects the customers we serve, and we value diverse backgrounds and paths into product. If you’re excited by the problem and can learn quickly, we’d love to hear from you - even if you don’t meet every requirement. We’re 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 Wise’s 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. We're people building money without borders  — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.

We're 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 it's like to work at Wise visit Wise.Jobs.

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

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Company Description

Wise is a global technology company, building the best way to move and manage the world’s money.
\nMin fees. Max ease. Full speed.

Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.

As part of our team, you will be helping us create an entirely new network for the world's money.
\nFor everyone, everywhere.

More about our mission and what we offer.


Job Description

What this role is about

We’re looking for a Product Manager to shape how Wise builds and uses data at scale. You’ll 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.

You’ll 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 it’s produced, what it can be used for, and how to get access. You’ll 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. You’ll also help lay the foundations that make Wise’s 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. You’ll learn quickly, ship practical improvements, and directly influence how data is found, understood and used across Wise.

We’re building a team that reflects the customers we serve, and we value diverse backgrounds and paths into product. If you’re excited by the problem and can learn quickly, we’d love to hear from you - even if you don’t meet every requirement. We’re 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 Wise’s 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. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.

We're proud to have a truly international team, and we celebrate our differences.
\nInclusive 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 it's like to work at Wise visit Wise.Jobs.

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

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Product Manager - Data Productivity & Governance

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    London
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