At a Glance
- Tasks: Maximise business value of data products and bridge gaps between stakeholders and delivery teams.
- Company: Dynamic company in Newcastle with a focus on data innovation.
- Benefits: Competitive contract, flexible work arrangements, and opportunities for professional growth.
- Other info: Join a collaborative team and drive meaningful change in data management.
- Why this job: Lead impactful data projects and shape the future of data products.
- Qualifications: Experience as a Product Owner or Manager in data environments is essential.
The predicted salary is between 36000 - 60000 £ per year.
Outside IR35
Start Date: ASAP
Contract Length: 6 months
Location: Newcastle Upon Tyne (1 day a week)
SC Clearance preferable. BPSS with view to getting cleared.
The Data Product Owner is accountable for maximising the business value of one or more data products, treating data as a product with clear consumers, measurable value, and defined service levels. They act as the primary bridge between business stakeholders and delivery teams, owning the product vision, backlog prioritisation, and ongoing performance of the data product across its lifecycle. Each data product has a clearly identified owner who is commercially and operationally responsible for its success.
Key Responsibilities- Product Vision & Strategy: Define and communicate a clear product vision and roadmap for assigned data products, aligned to business outcomes and strategic priorities. Ensure each data product is valuable, usable, feasible, and viable for its intended consumers. Act as the accountable owner for the success (or failure) of the data product in delivering measurable business value.
- Stakeholder Management: Serve as the primary point of contact for business stakeholders, data consumers, and delivery teams. Translate business needs into clear, prioritised product requirements and outcomes. Balance competing stakeholder demands while maintaining focus on agreed product goals.
- Backlog Ownership & Prioritisation: Own and prioritise the product backlog, ensuring delivery teams are always working on the highest-value items. Define user stories and acceptance criteria with a strong focus on consumer value and usability. Make informed trade-offs between scope, quality, time, and cost.
- Data Product Delivery Agreements & SLAs: Define, own, and maintain Data Product Delivery Agreements, including SLAs covering quality, timeliness, availability, and reliability. Agree and track non-functional requirements such as refresh frequency, retention, and recovery expectations. Ensure consumers clearly understand intended use, limitations, and notice-of-change commitments.
- Value Measurement & Performance Monitoring: Define success metrics and value measures for each data product, including usage, engagement, and business impact. Monitor product performance and data quality, initiating corrective action where standards are not met. Regularly review product value and make evidence-based decisions on enhancement, maintenance, or retirement.
- Data Quality, Ethics & Compliance: Ensure data products meet agreed data quality thresholds and are trustworthy for decision-making. Embed regulatory, privacy, and ethical considerations into product design and operation. Act as a steward for responsible data use within the product domain.
- Cross-Functional Leadership: Work closely with engineers, analytics engineers, platform teams, and UX to deliver high-quality data products. Champion a "data as a product" mindset across business and technical teams. Contribute to the evolution of product management and data product practices across the organisation.
- Essential: Proven experience as a Product Owner, Product Manager, or similar role in a data, analytics, or platform environment. Strong understanding of data and analytics concepts (e.g. data products, data quality, analytics use cases). Experience owning and prioritising backlogs and working with cross-functional delivery teams. Excellent stakeholder management and communication skills. Ability to define and measure business value.
- Desirable: Experience working with data platforms, analytics products, or data mesh-style ownership models. Familiarity with defining SLAs, service promises, or delivery agreements for data products. Experience operating in regulated or ethically sensitive data environments. Exposure to Agile and product management frameworks.
Please send me a copy of your CV if you are interested.
Data Product Owner in Newcastle upon Tyne employer: Jefferson Frank
As a Data Product Owner in Newcastle Upon Tyne, you will thrive in a dynamic work culture that prioritises innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and a supportive environment that encourages professional development. With a focus on meaningful projects and a clear vision for data products, we offer a unique chance to make a significant impact while enjoying the benefits of flexible working arrangements and a strong team ethos.
StudySmarter Expert Advice🤫
We think this is how you could land Data Product Owner in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Product Owner gig.
✨Tip Number 2
Prepare for those interviews by practising common questions related to product ownership and data management. We suggest doing mock interviews with friends or using online platforms to get comfortable talking about your experience and how it aligns with the job description.
✨Tip Number 3
Showcase your passion for data products! When you get the chance to chat with potential employers, make sure to highlight your understanding of data quality and analytics. We want them to see that you’re not just a fit, but the perfect fit for their team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Data Product Owner in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Data Product Owner role. Highlight your experience with data products, backlog management, and stakeholder communication. We want to see how your skills align with our needs!
Showcase Your Achievements:Don’t just list your responsibilities; show us what you’ve accomplished! Use metrics and examples to demonstrate how you've maximised business value in previous roles. This will help us see the impact you can bring to our team.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you're passionate about data products and how your vision aligns with ours. We love seeing enthusiasm and a clear understanding of the role, so make it personal!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Jefferson Frank
✨Know Your Data Inside Out
As a Data Product Owner, you need to demonstrate a strong understanding of data concepts. Brush up on data quality, analytics use cases, and how they translate into business value. Be ready to discuss specific examples of how you've maximised the value of data products in your previous roles.
✨Master Stakeholder Management
Stakeholder management is key for this role. Prepare to share experiences where you've successfully balanced competing demands from different stakeholders. Think about how you translated business needs into prioritised product requirements and be ready to discuss your approach to maintaining focus on product goals.
✨Prioritisation is Your Best Friend
You’ll need to own and prioritise the product backlog effectively. Come prepared with examples of how you've defined user stories and acceptance criteria in the past. Highlight your decision-making process when it comes to trade-offs between scope, quality, time, and cost.
✨Showcase Your Cross-Functional Leadership
This role requires collaboration with various teams. Be ready to talk about how you've worked closely with engineers, UX designers, and analytics teams to deliver high-quality data products. Emphasise your ability to champion a 'data as a product' mindset and how you've contributed to evolving product management practices.
