Senior Technical Product Manager - Analytics Platform
Listed on 2026-01-13
-
IT/Tech
Data Analyst, Data Engineer, IT Project Manager, Cloud Computing
Senior Technical Product Manager - Analytics Platform
- Full-time
- Compensation: GBP 88,000 - GBP 118,000 - yearly
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.
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:
Strategic Vision: You will own and drive the long-term strategy for our analytics platform, ensuring that it not only meets the current needs of the business but also anticipates and adapts to future challenges. Your efforts will ensure that our platform meets the evolving needs of the business, providing scalable and efficient data access to teams across the organisation.
Stakeholder
Collaboration:
You will build and maintain strong relationships with stakeholders and data users across the organisation, ensuring their needs and feedback are integral to the platform's development. Your role will be pivotal in translating complex data requirements into actionable insights for your team.
Fostering a Data-Driven Culture: You will lead and influence the continuous improvement of our data repositories, setting the vision for a unified, high-quality data ecosystem that drives the adoption of data‑driven practices across the organisation. Your efforts will drive the adoption of a data‑driven mindset across the organisation.
Alignment, Prioritisation, and Outcome Measurement: You will utilise OKRs and agile methodologies to align your team's efforts with the broader strategic goals of the data platform. By prioritising work that delivers the highest impact, you will ensure that the platform continuously evolves to meet the needs of the business, with measurable outcomes that demonstrate success.
Cross‑Functional Collaboration and Knowledge Sharing: You will work closely with other Product Managers, Engineering Leads, and technical teams to ensure that our platform integrates seamlessly with other systems and reduces dependencies. Your focus on collaboration and knowledge sharing will accelerate progress and drive innovation across the organisation.
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…
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