Staff Technical Product Manager - Data

We're Checkout.com

Checkout.com is one of the most exciting fintechs in the world. Our mission is to enable businesses and their communities to thrive in the digital economy. We’re the strategic payments partner for some of the best known fast-moving brands globally such as Wise, The Hut Group, Sony Electronics, Sainsbury’s, Deliveroo, Adidas, Klarna and many others. Purpose-built with performance and scalability in mind, our flexible cloud-based payments platform helps global enterprises launch new products and create experiences customers love. And it's not just what we build that makes us different. It's how.

Job Description

We’re on the lookout for a Staff Technical Product Manager to join our Data Platform team; a pivotal position that will play a key role in driving this change and ensuring teams are reaping the benefits. The team has built the core foundations of the platform and are working towards standardising Checkout’s data processes and products. We can’t do this alone though, so evangelising this throughout the company by providing solid guidance will be key to our success. It’s a key focus area for us next year and this role will be instrumental in accelerating that process, driving good fundamentals in data modelling, data usage and the design of data products.

You will take a lead role in refining and advocating for scalable data products that empower the business, ensuring our data platforms and processes support current and future business needs. You will act as a key advocate for best practices in data governance, quality, and modelling, and serve as a trusted advisor to senior stakeholders in aligning technology with business objectives.

Key Responsibilities

• Data and Platform Strategy: Influence and work with teams and domains to implement data products that support business strategies, ensuring that data models, flows, and processes are optimised for performance, scale, and governance.
• Consultancy and Change Management: Act as a subject matter expert, providing guidance to teams, and reporting to stakeholders across the organisation on best practices in data management, data governance, and the design of modern data ecosystems.
• Transformational Leadership: Lead data transformation and migration initiatives, including cloud migrations, implementation of data products, and the adoption of new technologies and techniques.
• Collaboration and Influence: Work closely with engineering, analytics, and business teams to understand their data needs, ensuring architectural decisions are aligned with business goals and technical constraints.
• Data Product Modelling: Work and influence towards a core set of company-wide Data Products, ensuring that data remains “always correct” and that those become the trusted sources throughout the business.
• Governance and Data Quality: Ensure data governance policies and processes are in place, and promote data quality and security standards across the organisation.
• Tooling and Infrastructure Guidance: Partner with technical teams to encourage the use of the data platform provided tools, technologies and techniques, in order to support a scalable, flexible, and high-performance data ecosystem.
• Stakeholder Management: Collaborate with VP Level executives, product teams, and engineering teams to communicate complex data architecture concepts and drive alignment on data strategy.

Qualifications

• Strong Consultancy Skills: Track record of working in a consultancy or advisory role, managing change initiatives, and leading business transformations in large organisations.
• Analytical and Data Modeling Expertise: Strong expertise in data modelling (conceptual, logical, physical) and analytics solutions.
• Data Governance and Quality: Deep understanding of data governance principles, data quality frameworks, and the regulatory landscape affecting data (e.g., GDPR, CCPA).
• Technological Expertise: Proficiency in relevant data concepts, including but not limited to:
• Stream processing
• Database management and warehousing tools (Snowflake, Redshift, BigQuery, Databricks)
• Data orchestration and ETL tools (Airflow, DBT, Informatica)
• Leadership and Mentorship: Experience leading data oriented teams and mentoring junior engineers, and analysts.
• Strategic Thinker: Able to translate business strategy into effective data solutions that scale with growth.
• Collaborative and Influential: Excellent communication and stakeholder management skills, with the ability to work cross-functionally and influence at all levels of the organisation.
• Thought Leader: We value thought leadership, so any contributions to the data community through articles, talks, conferences, or meetups are a bonus.

Additional Information

If you don't meet all the requirements but think you might still be right for the role, please apply anyway. We're always keen to speak to people who connect with our mission and values.

We believe in equal opportunities. We work as one team. Wherever you come from. However you identify. And whichever payment method you use.

Our clients come from all over the world — and so do we. Hiring hard-working people and giving them a community to thrive in is critical to our success.

When you join our team, we’ll empower you to unlock your potential so you can do your best work. We’d love to hear how you think you could make a difference here with us.

We want to set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. We’ll be happy to support you.

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Seniority level

• Mid-Senior level

Employment type

• Full-time

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