At a Glance
- Tasks: Lead the lifecycle of AI and data products, transforming insights into strategic decisions.
- Company: Join a mission-driven organisation focused on innovative data solutions in Edinburgh.
- Benefits: Enjoy flexible working arrangements and opportunities for professional growth.
- Why this job: Shape the future of data products while promoting responsible AI in a collaborative culture.
- Qualifications: Proven experience in product management with expertise in data governance and AI applications.
- Other info: Work alongside forward-thinking leaders and engage in meaningful projects.
The predicted salary is between 54000 - 84000 £ per year.
Our client is looking for an outcome-focused, hands-on leader to design, deliver, and evolve AI and data-powered products that drive real strategic impact. In this position, you’ll blend modern product management with data governance, transforming how an organisation leverages insights and automation.
Key Responsibilities:- Lead the full product lifecycle for AI and data products – from discovery to adoption and continuous improvement.
- Transform static reports into dynamic, predictive insights that inform decision-making.
- Own internal data governance and cataloguing practices, driving adoption and usability.
- Build and maintain product roadmaps that connect data work to measurable strategic outcomes.
- Foster data literacy and promote responsible AI across the organisation.
- Collaborate with business and technology leaders to align data product delivery with organisational goals.
- Design and automate strategic KPIs to enable informed, transparent decision-making.
- Proven experience as a senior product or delivery manager/owner, delivering impactful AI, data, or platform products.
- Expertise in modern data governance, data cataloguing (e.g. Microsoft Purview or equivalents), and quality management.
- Experience managing research or insight teams, embedding modern practices for dynamic insights.
- Strong stakeholder engagement and change leadership skills, with a record of influencing at senior levels.
- Familiarity with Generative AI and intelligent automation applications is highly desirable.
- Passion for embedding responsible AI and data ethics in all work.
- Opportunity to shape the future of data products in a mission-driven, collaborative environment.
- Work with forward-thinking leaders and a supportive team culture.
- Flexible working arrangements and professional development opportunities.
Apply here for more information and a full job spec.
Head of Data Products (AI) employer: MBN Solutions
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Products (AI)
✨Tip Number 1
Familiarise yourself with the latest trends in AI and data governance. Understanding how these technologies are evolving will help you speak confidently about your vision for data products during interviews.
✨Tip Number 2
Network with professionals in the field of data products and AI. Attend industry events or webinars to connect with potential colleagues and leaders who can provide insights into the role and company culture.
✨Tip Number 3
Prepare to discuss specific examples of how you've led product lifecycles in the past. Highlight your experience with transforming static reports into dynamic insights, as this is a key responsibility for the role.
✨Tip Number 4
Showcase your understanding of responsible AI and data ethics. Be ready to explain how you would embed these principles into the product development process, as this aligns with the company's mission.
We think you need these skills to ace Head of Data Products (AI)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in product management, particularly with AI and data products. Use specific examples that demonstrate your ability to lead product lifecycles and drive strategic outcomes.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data governance and responsible AI. Discuss how your background aligns with the company's goals and how you can contribute to transforming their data products.
Showcase Relevant Skills: Emphasise your expertise in data governance and cataloguing, as well as your experience with dynamic insights. Mention any familiarity with tools like Microsoft Purview and your ability to manage research teams effectively.
Highlight Stakeholder Engagement: Provide examples of how you've successfully engaged with stakeholders at senior levels. Illustrate your change leadership skills and how you've influenced decision-making within organisations.
How to prepare for a job interview at MBN Solutions
✨Showcase Your Leadership Skills
As a Head of Data Products, you'll need to demonstrate your ability to lead teams effectively. Prepare examples of how you've successfully managed product lifecycles and influenced stakeholders at senior levels in previous roles.
✨Highlight Your Technical Expertise
Make sure to discuss your experience with data governance and cataloguing tools like Microsoft Purview. Be ready to explain how you've used these tools to drive data quality and usability in past projects.
✨Demonstrate Your Strategic Thinking
Prepare to talk about how you've transformed static reports into dynamic insights. Share specific instances where your strategic decisions led to measurable outcomes, showcasing your understanding of aligning data products with organisational goals.
✨Emphasise Your Passion for Responsible AI
Given the focus on responsible AI and data ethics, be prepared to discuss your views on these topics. Share examples of how you've embedded ethical considerations into your work and fostered data literacy within your teams.