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- Tasks: Lead the development of a cloud-based data ecosystem for analytics and AI.
- Company: Innovative insurance company focused on building a modern data ecosystem.
- Benefits: Competitive salary, bonus, hybrid working, and comprehensive benefits.
- Other info: Join a dynamic team with opportunities for growth and collaboration.
- Why this job: Shape the future of data architecture and drive impactful innovations.
- Qualifications: Experience in product management and cloud-based data ecosystems required.
The predicted salary is between 60000 - 80000 £ per year.
Location: London/York
Working set up: Hybrid (2-3 days onsite)
Salary: Competitive + bonus + benefits
SPG are working on behalf of an insurance company who are invested in building a modern, scalable data ecosystem to support with analytics, AI and integration across the business. With a strong market presence and a focus on innovation, the business are looking to establish a Data Mesh-based architecture to enable domain driven data ownership. This is a key opportunity to play a central role in shaping and delivering this ecosystem as part of a growing global data function.
The Role
Reporting into the Data leadership team, the Data Ecosystem Product Manager will define and deliver the strategy and roadmap for the organisation’s enterprise data platform. You will lead the development of a cloud-based data ecosystem, ensuring it meets current and future analytics, AI, and integration requirements. Working across engineering, architecture, and business teams, you will act as the central point of coordination—driving alignment, prioritisation, and successful delivery of platform capabilities.
Key responsibilities
- Define and communicate the vision, strategy, and roadmap for the data ecosystem
- Own and prioritise the product backlog based on business value and technical requirements
- Collaborate with stakeholders across data, engineering, architecture, and business teams
- Lead cross-functional delivery across ideation, design, development, testing, and deployment
- Ensure the platform remains current by managing vendor upgrades and technology evolution
- Promote adoption of modern data practices and support a strong data engineering culture
- Embed data governance, security, and compliance into platform design
- Monitor platform performance and drive continuous optimisation using data insights
- Establish and support a value-driven FinOps approach to manage cloud costs
- Work with third-party vendors and partners to support delivery and innovation
Required skills and experience
- Proven experience as a Product Manager delivering data platforms or data products
- Strong experience with cloud-based data ecosystems (GCP Preferred)
- Hands on knowledge of tools such as BigQuery, Dataflow, Pub/Sub
- Experience with Databricks and/or Snowflake
- Strong understanding of modern data architectures (e.g. Data Mesh, event-driven systems, APIs)
- Experience working in Agile delivery environments with backlog ownership
- Ability to translate complex technical concepts into business value
- Strong stakeholder management and communication skills
Desirable experience
- Exposure to AI / Machine Learning within data platforms
- Experience in regulated or data-sensitive environments
- Knowledge of data governance and risk frameworks
- Experience supporting large-scale platform transformations
This role can be York or London based with hybrid working of 2-3 days a week in the office.
Data Ecosystem Product Manager employer: SPG Resourcing
Contact Detail:
SPG Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Ecosystem Product Manager
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for those interviews by brushing up on your knowledge of data ecosystems and cloud platforms. Be ready to discuss how your experience aligns with the role, especially around data governance and modern architectures.
✨Tip Number 3
Showcase your passion for data! During interviews, share examples of how you've driven innovation or improved processes in previous roles. This will help you stand out as someone who truly cares about the field.
✨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 are proactive about their job search.
We think you need these skills to ace Data Ecosystem Product Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Ecosystem Product Manager. Highlight your experience with cloud-based data ecosystems and any relevant tools like BigQuery or Databricks. We want to see how your skills align with our vision!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about building modern data ecosystems and how you can contribute to our innovative approach. Keep it engaging and personal, so we get a sense of who you are.
Showcase Your Stakeholder Management Skills: In your application, don’t forget to mention your experience in managing stakeholders. We’re looking for someone who can drive alignment across teams, so share examples of how you've successfully collaborated in the past.
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 don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at SPG Resourcing
✨Know Your Data Ecosystem
Before the interview, dive deep into the company's data ecosystem. Understand their current architecture and how they plan to implement a Data Mesh. This will help you articulate how your experience aligns with their vision and demonstrate your genuine interest in their projects.
✨Showcase Your Product Management Skills
Prepare specific examples from your past experiences where you've successfully managed data platforms or products. Highlight your ability to prioritise backlogs and collaborate with cross-functional teams, as these are crucial for the role.
✨Brush Up on Technical Knowledge
Make sure you're familiar with the tools mentioned in the job description, like BigQuery, Dataflow, and Databricks. Being able to discuss these technologies confidently will show that you're not just a manager but also technically savvy.
✨Engage with Stakeholders
Think about how you would approach stakeholder management in this role. Prepare to discuss strategies for aligning different teams and driving adoption of modern data practices. This will showcase your communication skills and your understanding of the importance of collaboration.