Senior Technical Product Manager - Analytics Platform

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.

This role is a unique opportunity to develop your product skills and technical knowledge at a significant scale. By building a platform that enables our engineers to deliver new features with high quality even faster, your contributions will have a major impact on Wise’s mission.

Platform is a broad domain covering data, compute, networking, CI/CD, SRE, developer experience and much more. We expect our Technical Product Managers to have a deep ownership of the roadmap, product, and strategy for their teams. You will be responsible for driving the full lifecycle of product development, from conception through to successful delivery. While your primary focus will be on ensuring the execution and alignment of one or two critical teams, you will also have the opportunity to broaden your impact by collaborating across the wider platform tribe, ensuring consistency, scalability, and innovation across our rapidly evolving tech stack.

We are looking for an Experienced Technical Product Manager who can develop a product strategy and mindset in our Analytics Teams. As a Technical Product Manager for Data you will be involved in:

Here’s how you’ll be expected to contribute to our platform:

• Develop a comprehensive understanding of the diverse needs of your stakeholders across the organisation, focusing on the analytics data lifecycle.
• Define their problems and requirements, identifying common areas of concern/benefit and working with stakeholders to understand the impact of these areas.
• Proactively identify, prioritise and execute on the workflows which automate tedious and repetitive tasks.
• Collaborate with your engineering team to integrate with data discovery platforms, governance platforms, and analytics platforms.
• Break down and prioritise tasks by quantifying cost and effort against the benefit to the business and your customers.
• Collaborate with stakeholders to ensure your priority decisions align with the strategic goals of the database platform team.
• Prioritise the development of self service capabilities to improve the user experience of our analytics platforms.

About you:

• You have a passion for the entire product development lifecycle and a strong affinity for data.
• You are comfortable working across a broad range of technical domains, from cloud offerings and cloud-native technologies to data engineering and analytics.
• You are adept at understanding the trade-offs between different platform technologies, and can communicate these considerations clearly, with an awareness of their practical implications.
• Comfortable collaborating with engineers and business users, with experience working with data engineering, analytics, or data science teams.
• Familiarity with Looker and Superset or other BI Tools.
• Enjoy deciphering complex domains and sharing that understanding.
• Strong analytical skills, enabling you to navigate complex system-design challenges to find innovative solutions using both quantitative and qualitative information.
• Creativity in problem-solving, with an understanding that the most complex solution isn't always the best.
• Ability to simplify complex technical concepts for stakeholders at all levels.
• Proficient in communicating your ideas, knowing when it's best to write, say, or show something.
• Adaptability to the dynamic nature of teamwork in a fast-paced environment, with the ability to pivot to new priorities effectively.

Some extra skills that would set you apart:

• Experience as a Data Product Owner
• Some hands‑on experience as a Data Engineer, Data Scientist or Analytics Engineer (or have some deep SQL experience)
• Experience using or building data platform…