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- Tasks: Bridge the gap between data engineering and business stakeholders to deliver impactful data solutions.
- Company: Join a diverse and inclusive tech company focused on innovative data products.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Shape the future of data products while collaborating with talented teams.
- Qualifications: Experience in data product management and strong SQL skills required.
- Other info: Dynamic role with excellent career advancement opportunities in a supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
We're looking for a number of Technical Data Product Owners who can be the conduit between the Data Engineering and Platform team and our clients' business stakeholders. You will be instrumental in ensuring the requirements are detailed and thorough, to enable the Data team to build and deliver effectively and efficiently. The role will be circa 40% working with the business and 60% with the Data Platform team. There is a roadmap in place but you will definitely be involved in shaping it as it evolves to ensure successful delivery.
Reporting to the Head of Data Platform & Architecture, Platform & Engineering function, you will be responsible for defining and delivering developments that meet business needs and technical requirements. These could be both on the data platform as well as other systems such as Denodo, Data Warehouse, and Talend. You will use your SME knowledge to bridge the gap between the business and development teams, ensuring any user stories provide enough detail to allow seamless handover to the data engineers. You will be translating business needs into technical solutions, guiding development teams and prioritising features that deliver high value.
You will be involved in planning, coordinating, shaping design, development, testing, and implementation of development requests, ensuring they meet the correct standards, have been carried out sufficiently, and align to both the data strategy and corporate aims. The role combines both business and technical knowledge.
Experience & Skills needed:- Proven experience as a Technical Data Product Owner, Data Product Manager or Technical Business Analyst within a data platform or engineering-led environment.
- Strong track record of acting as the bridge between business stakeholders and data engineering teams, translating complex business requirements into detailed, structured user stories and technical deliverables.
- Experienced across the SDLC for Data Platforms and Products.
- Strong SQL capability - able to interrogate data, validate outputs, support root cause analysis and challenge assumptions with evidence.
- Experience working closely with Data Engineers, Platform teams and Architects, with the ability to operate confidently in technical discussions.
- Hands-on experience delivering developments across modern data platforms, including exposure to Data Warehouses, Data virtualisation tools (e.g. Denodo), ETL/ELT tooling (e.g. Talend or similar), and Cloud-based data environments.
- Solid understanding of data architecture principles, including data modelling concepts, data pipelines, metadata, lineage and data quality frameworks.
- Experience shaping and evolving product roadmaps in partnership with engineering leadership, balancing technical debt, platform capability and business demand.
- Demonstrable experience managing a backlog within Agile delivery frameworks, including sprint planning, refinement, prioritisation and acceptance criteria definition.
Data Product Owner - Technical, Delivery, Stakeholder employer: Sanderson Recruitment
Contact Detail:
Sanderson Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Product Owner - Technical, Delivery, Stakeholder
✨Tip Number 1
Network like a pro! Reach out to your connections in the data field and let them know you're on the hunt for a Data Product Owner role. You never know who might have the inside scoop on an opening or can put in a good word for you.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical knowledge and business acumen. Be ready to discuss how you've successfully bridged the gap between stakeholders and engineering teams in the past. Show them you can translate complex requirements into actionable user stories!
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. Check out our website for openings that match your skills as a Technical Data Product Owner. Tailor your approach to each company to stand out!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Use this opportunity to reiterate your enthusiasm for the role and how your experience aligns with their needs.
We think you need these skills to ace Data Product Owner - Technical, Delivery, Stakeholder
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Product Owner. Highlight your experience bridging the gap between business and technical teams, and don’t forget to showcase your SQL skills and familiarity with data platforms.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain how your background aligns with our needs. Be specific about your experience with Agile frameworks and how you've shaped product roadmaps in the past.
Showcase Your Technical Knowledge: We want to see your understanding of data architecture principles and modern data platforms. Mention any hands-on experience you have with tools like Denodo or Talend, as well as your ability to translate complex requirements into user stories.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Sanderson Recruitment
✨Know Your Data Inside Out
Make sure you brush up on your SQL skills and understand the data architecture principles mentioned in the job description. Be ready to discuss how you've used these skills in past roles, especially when translating business needs into technical solutions.
✨Bridge the Gap
Prepare examples of how you've successfully acted as a liaison between business stakeholders and data engineering teams. Highlight specific instances where you translated complex requirements into structured user stories that led to successful project outcomes.
✨Familiarise Yourself with Tools
Get to know the tools and technologies listed in the job description, like Denodo, Talend, and cloud-based environments. Being able to speak confidently about your hands-on experience with these tools will show that you're not just theoretically knowledgeable but practically capable.
✨Agile Mindset
Since the role involves managing a backlog within Agile frameworks, be prepared to discuss your experience with sprint planning and prioritisation. Share how you've defined acceptance criteria and refined backlogs in previous projects to demonstrate your understanding of Agile methodologies.