At a Glance
- Tasks: Create innovative data solutions and lead the transformation to a federated Data Mesh architecture.
- Company: Join a forward-thinking tech company with a focus on AI and data innovation.
- Benefits: Generous pension, bonus scheme, private medical insurance, and up to 31.5 days holiday.
- Other info: Flexible location with opportunities for travel and extensive training options.
- Why this job: Make a real impact in a dynamic environment while driving cutting-edge data products.
- Qualifications: Experience in data product management and a customer-centric mindset are essential.
The predicted salary is between 60000 - 80000 £ per year.
As a Data Platforms Product Manager, you will create innovative solutions that our customers love and empower internal teams to create business value within the global EDO team. Working closely with product design and engineering teams, you will discover and deliver cutting‑edge solutions to market. A key focus will be leading our transformation from legacy centralized warehouses to a federated Data Mesh architecture built on Databricks. You will take full autonomous ownership of the Data Mesh platform, treating data as a first‑class product, while partnering with Engineering leads to deliver a self‑service platform that empowers our Data Hubs to efficiently publish and consume high‑quality data.
Responsibilities/accountabilities will also include:
- Conduct regular user experiments to test new ideas and functionality
- Ensure quality delivery in AI Technology products and all product management activities
- Shape and develop new features from concept to customer use
- Collaborate with business and IT leaders for product support, and coordinate with support teams to address issues and bugs efficiently
- Own end-to-end responsibility for Data Platforms products
- Identify and implement product improvements based on data insights
- Effectively communicate product vision, status, and timelines to stakeholders
- Represent and promote AI Technology platform and product portfolio through participation in local and global EDO events
- Stay current with Databricks and Data Mesh innovations, market trends, and hyperscale developments, including their value propositions and target audiences
Qualifications and required experience:
- Solid experience in data product management, driving innovation and product roadmaps in technology‑based environments
- Demonstrated expertise in modern product discovery and delivery methodologies, with experience in business analysis with focus on user research
- Experience in leading change management initiatives and stakeholder management across multiple organizational levels
- History of successful product delivery in fast‑paced environments, showing ability to manage ambiguity and balance competing priorities
- Self‑driven, creative and curious, with a customer‑centric mindset
This role can be based in multiple locations within the UK with the flexibility to travel as required.
What we offer:
- Extensive benefits package including a generous pension scheme, bonus scheme, private medical & life insurance.
- Up to 31.5 days annual holiday.
- We offer a position which contributes to valuable and impactful work in a stimulating and international environment.
- Learning culture and wide range of training options.
Senior Product Manager - Data Platforms employer: jobr.pro
As a Senior Product Manager in Data Platforms, you will thrive in a dynamic and innovative environment that prioritises employee growth and collaboration. Our extensive benefits package, including a generous pension scheme and up to 31.5 days of annual holiday, reflects our commitment to your well-being, while our learning culture and diverse training options empower you to develop your skills and advance your career. Join us to make a meaningful impact within a global team dedicated to transforming data solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Product Manager - Data Platforms
✨Join Product Management Meetups
Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like jobr.pro!
✨Show Off Your Product Sense
Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at jobr.pro would be by your initiative!
✨Utilise Online Communities
Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.
✨Leverage Your University Network
If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at jobr.pro through your school's career services!
We think you need these skills to ace Senior Product Manager - Data Platforms
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like Senior Product Manager - Data Platforms, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the Senior Product Manager - Data Platforms position at jobr.pro. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at jobr.pro
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.
