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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 excellent salary, 28 days holiday, private medical insurance, and flexible working options.
- Why this job: Be part of a hands-on role with huge scope to drive impactful data solutions.
- Qualifications: Experience as a Product Owner with knowledge of data products and compliance standards.
- Other info: The company values diversity and supports flexible working requests.
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.
- 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.
- 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
Brush up on your knowledge of data governance frameworks and compliance standards like GDPR and CCPA. Being able to discuss how you've navigated these regulations in past roles can demonstrate your readiness for this position.
✨Tip Number 3
Prepare to showcase your experience in managing product backlogs and engaging stakeholders. Think of specific examples where you successfully delivered features in Agile environments, as this will be crucial in your conversations.
✨Tip Number 4
Since the role involves using BI and analytics platforms, consider brushing up on tools like Tableau and Power BI. Being able to discuss how you've used these tools to inform product decisions will give you an edge.
We think you need these skills to ace Data Product Owner
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Product Owner, especially in relation to data products and platforms. Use keywords from the job description, such as 'data warehouses', 'ETL/ELT processes', and 'Agile environments' to catch the employer's attention.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about data and how your previous experiences align with the role. Mention specific projects where you've successfully managed data products or improved data quality, showcasing your analytical mindset and commercial awareness.
Showcase Relevant Skills: Highlight your familiarity with tools and technologies mentioned in the job description, such as Snowflake, BigQuery, Tableau, and cloud platforms like AWS or GCP. Provide examples of how you've used these tools to drive insights and decision-making in past roles.
Demonstrate Compliance Knowledge: Since the role requires navigating GDPR and CCPA, include any relevant experience you have with data governance and compliance. This could be through specific projects or training that demonstrates your understanding of regulatory standards.
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. This will help you articulate how your role as a Data Product Owner can drive measurable outcomes and improve customer experiences.
✨Prepare for Technical Questions
Expect questions about data pipelines, governance frameworks, and compliance standards like GDPR and CCPA. Brush up on your knowledge of tools such as dbt, Airflow, and cloud platforms to show that you're technically savvy and ready to tackle challenges.
✨Demonstrate Agile Experience
Since the role requires managing backlogs and engaging stakeholders in Agile environments, be ready to share examples of how you've successfully delivered projects using Agile methodologies. This will illustrate your ability to adapt and thrive in dynamic settings.
