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- Tasks: Lead the development of data platforms and manage product backlogs.
- Company: Join a major UK organisation focused on enhancing customer experiences through data.
- Benefits: Enjoy hybrid work, excellent salary, 28 days holiday, and private medical insurance.
- Why this job: Be part of a hands-on role with huge scope for impact in data-driven decision making.
- Qualifications: Experience as a Product Owner with knowledge of data products and compliance standards.
- Other info: Flexible working requests are supported; all applications are welcomed.
The predicted salary is between 43200 - 72000 £ per year.
We’re partnering with a major UK organisation to recruit a Data Product Owner who will play a key role in building out their enterprise data capabilities — enabling better customer experiences, advanced analytics, and insight-led decision making across the business.
This is a hands-on role with huge scope: you’ll work across data platforms, engineering, governance, and business teams to deliver data products that drive measurable outcomes.
The Role
- Lead the development of data platforms: data warehouses, lakes, CDPs, analytics solutions.
- Act as the central link between business, data science, engineering, and governance functions.
- Manage the data product backlog, translating requirements into deliverable features.
- Oversee data pipelines, modelling, ETL/ELT processes, APIs, and cloud data platforms.
- Ensure data quality, governance, compliance and regulatory standards (GDPR, CCPA).
- Use BI and analytics platforms (Tableau, Power BI, Looker) to inform product decisions.
About You
- Experienced Product Owner with strong exposure to data products and platforms.
- Delivery experience with enterprise data warehouses (Snowflake, BigQuery), lakes, and CDPs.
- Understanding of data pipelines, contracts, lineage, APIs, and data governance frameworks.
- Comfortable navigating GDPR, CCPA and other compliance requirements.
- Familiar with dbt, Airflow, and cloud platforms (AWS, GCP, Azure).
- Proven ability to manage backlogs, engage stakeholders and deliver in Agile environments.
- Analytical mindset with a strong commercial awareness.
Why Apply?
- Excellent salary + bonus
- 15% pension contribution (9% during probation)
- 28 days holiday + buy/sell options
- Private Medical Insurance
- Electric/Hybrid car schemes, Cycle to Work, life assurance
- Comprehensive wellbeing and healthcare support
- Generous family leave policies
Our client is committed to building a diverse and inclusive team. Flexible working requests are actively supported and all applications are welcomed.
Contact Detail:
TRIA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Product Owner
✨Tip Number 1
Familiarise yourself with the specific data platforms mentioned in the job description, such as Snowflake and BigQuery. Having hands-on experience or even a solid understanding of these tools will help you stand out during discussions.
✨Tip Number 2
Network with professionals in the data product space, especially those who have experience in Agile environments. Engaging with them can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Prepare to discuss your experience with data governance and compliance, particularly GDPR and CCPA. Being able to articulate your knowledge in these areas will demonstrate your readiness for the responsibilities of the role.
✨Tip Number 4
Showcase your analytical mindset by preparing examples of how you've used data to drive business decisions in previous roles. This will highlight your ability to deliver measurable outcomes, which is crucial for this position.
We think you need these skills to ace Data Product Owner
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience as a Product Owner, especially in data products and platforms. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and your understanding of the role. Mention specific experiences where you've successfully managed data products or led teams in Agile environments.
Showcase Technical Skills: In your application, emphasise your familiarity with data platforms like Snowflake and BigQuery, as well as your experience with BI tools such as Tableau or Power BI. This will help you stand out as a candidate.
Highlight Compliance Knowledge: Since the role involves navigating GDPR and CCPA, make sure to mention any relevant experience you have with compliance standards in your application. This shows you understand the importance of data governance.
How to prepare for a job interview at TRIA
✨Showcase Your Data Expertise
Make sure to highlight your experience with data products and platforms during the interview. Be prepared to discuss specific projects where you've led the development of data warehouses or analytics solutions, as this will demonstrate your hands-on capabilities.
✨Understand the Business Context
Familiarise yourself with the company’s business model and how data impacts their operations. Being able to articulate how data-driven decisions can enhance customer experiences will show that you understand the strategic importance of the role.
✨Prepare for Technical Questions
Expect questions about data pipelines, ETL/ELT processes, and compliance standards like GDPR and CCPA. Brush up on your knowledge of tools such as Snowflake, BigQuery, and BI platforms like Tableau or Power BI, as these are likely to come up.
✨Demonstrate Agile Experience
Since the role involves managing backlogs and engaging stakeholders in Agile environments, be ready to share examples of how you've successfully delivered projects in such settings. Discuss your approach to prioritising tasks and collaborating with cross-functional teams.
