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- Tasks: Lead data strategy and integration across a multi-division organisation.
- Company: Join a market leader in sustainable environmental services driving digital transformation.
- Benefits: Enjoy a competitive salary, hybrid work options, and opportunities for career progression.
- Why this job: Be at the forefront of transforming data into impactful business solutions for sustainability.
- Qualifications: Experience in data product management with knowledge of Azure and modern data architectures required.
- Other info: This role offers a clear path to senior leadership within the company.
The predicted salary is between 48000 - 64000 £ per year.
Join a market leader in sustainable environmental services undergoing a major digital transformation. We’re looking for a Senior Data Product Manager to lead group-wide data strategy, unify siloed systems, and shape the future of data products across a complex, multi-division organisation.
You’ll own the data roadmap, drive platform integration, and enable AI/ML capabilities—all while championing data as a key business asset.
Key Responsibilities- Define and lead the enterprise data product strategy
- Drive integration of ERP, CRM, HR, and other systems via modern API standards
- Transform raw operational data into curated, actionable insights
- Develop dashboards and reporting tools for compliance and business intelligence
- Lead governance, data ownership, and cross-business alignment
- Support AI and ML enablement across group divisions
- Experience in data product management, ideally with a data engineering background
- Strong understanding of Azure, Databricks, and modern data architectures (Data Mesh, DaaP)
- Proven success in building data strategies and delivering enterprise-scale integration
- Excellent communication and stakeholder management skills
- Passion for turning data into measurable business value
This is a high-impact role with a clear path for progression into a head of role, where you’ll play a central part in transforming how data powers sustainability, compliance, and innovation across the group.
Senior Data Product Manager employer: Levick Stanley
Contact Detail:
Levick Stanley Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Product Manager
✨Tip Number 1
Familiarise yourself with the latest trends in data product management, especially around Azure and Databricks. This will not only help you understand the technical requirements but also demonstrate your commitment to staying updated in a rapidly evolving field.
✨Tip Number 2
Network with professionals in the data product management space, particularly those who have experience in enterprise-scale integration. Engaging in discussions or attending relevant meetups can provide insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss specific examples of how you've successfully driven data strategies in previous roles. Highlighting measurable outcomes will showcase your ability to turn data into business value, which is crucial for this position.
✨Tip Number 4
Research StudySmarter’s current data initiatives and think about how you can contribute to them. Tailoring your conversation during interviews to align with our goals will show that you're genuinely interested in being part of our team.
We think you need these skills to ace Senior Data Product Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data product management and any background in data engineering. Emphasise your understanding of Azure, Databricks, and modern data architectures to align with the job requirements.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and how it can drive business value. Discuss specific examples of how you've successfully built data strategies or integrated systems in previous roles.
Showcase Your Achievements: When detailing your experience, focus on quantifiable achievements. For instance, mention how you transformed raw data into actionable insights or developed dashboards that improved compliance and business intelligence.
Prepare for Interviews: Anticipate questions related to your experience with data governance, stakeholder management, and AI/ML enablement. Be ready to discuss how you would approach leading the enterprise data product strategy for the company.
How to prepare for a job interview at Levick Stanley
✨Showcase Your Data Expertise
Be prepared to discuss your experience in data product management and any relevant data engineering background. Highlight specific projects where you've successfully built data strategies or integrated systems, especially using Azure or Databricks.
✨Demonstrate Strategic Thinking
Think about how you would define and lead an enterprise data product strategy. Be ready to share your vision for unifying siloed systems and how you would approach driving platform integration across various departments.
✨Communicate Effectively
Strong communication skills are crucial for this role. Practice articulating complex data concepts in a way that is easy to understand for stakeholders from different backgrounds. Prepare examples of how you've managed stakeholder relationships in the past.
✨Passion for Data-Driven Value
Express your enthusiasm for turning data into measurable business value. Share examples of how your work has positively impacted business outcomes, particularly in areas like sustainability and compliance, to align with the company's mission.
