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- Tasks: Lead enterprise-wide data management initiatives for AI transformation and improve data quality.
- Company: Billigence, a global boutique data consultancy with a focus on innovation.
- Benefits: Inclusive workplace, competitive salary, and opportunities for professional growth.
- Other info: Work on complex projects across various industries with excellent career advancement potential.
- Why this job: Join a dynamic team driving impactful data solutions in a fast-paced environment.
- Qualifications: Experience in Data Management and strong stakeholder engagement skills required.
The predicted salary is between 60000 - 80000 £ per year.
Who we are: Billigence is a boutique data consultancy with global reach, helping organisations transform the way they work with data. We specialise in delivering high-impact data solutions across Data Management, Data Governance, Cloud Data Platforms, AI Enablement, and Advanced Analytics. Headquartered in Sydney with offices across the UK, Europe, and APAC, Billigence partners with organisations to design and implement modern data capabilities that drive better decision‑making and business outcomes. Our teams work on complex, enterprise‑scale transformation programmes across industries including retail, financial services, and technology.
About the role: We are looking for an experienced Data Management Lead to support a major enterprise AI transformation programme through to March 2027. This role will support multiple AI and data use cases across a large‑scale roadmap, helping to improve the quality, structure, governance, and usability of enterprise data that underpins AI initiatives across the organisation. The successful candidate will work across business and technology teams to drive scalable data management practices within a complex and evolving environment.
What you'll do:
- Lead and support enterprise‑wide data management initiatives aligned to the AI roadmap
- Work closely with business, technology, governance, and analytics teams to improve data quality, ownership, lineage, and controls
- Help define and implement scalable data management frameworks, standards, and operating models
- Support the identification and remediation of data issues impacting AI and reporting use cases
- Drive stakeholder engagement across multiple business functions to establish trusted and governed data practices
- Collaborate with architecture, engineering, and governance teams to align data strategy with delivery objectives
- Support metadata, master data, reference data, and data quality initiatives across critical domains
- Contribute to the development of sustainable governance and stewardship capabilities within a large enterprise environment
- Operate effectively within fast‑moving and evolving programmes where processes and structures are still maturing
What you'll need:
- Strong experience delivering Data Management or Data Governance initiatives within large enterprise organisations
- Experience supporting complex transformation or AI‑enabled programmes
- Strong understanding of core data management principles including data quality, metadata, lineage, stewardship, and governance
- Ability to engage and influence senior business and technology stakeholders
- Experience operating in complex, ambiguous, or immature data environments
- Strong communication and stakeholder management skills
- Ability to balance strategic thinking with hands‑on delivery
- Experience within retail, consumer, or large‑scale enterprise environments is beneficial
- Familiarity with modern data platforms and governance tooling is advantageous
Inclusion and equal opportunities: Billigence is committed to creating an inclusive workplace where everyone feels valued, respected, and empowered to succeed. We welcome applications from people of all backgrounds, experiences, and perspectives and are committed to equal opportunities throughout the recruitment process.
Data Management Lead - Enterprise AI transformation (Inside IR35) employer: Billigence
Contact Detail:
Billigence Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Management Lead - Enterprise AI transformation (Inside IR35)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data management and AI fields. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have a lead on that perfect role!
✨Tip Number 2
Show off your skills! Create a portfolio or a personal website showcasing your past projects and achievements in data management. This gives potential employers a tangible sense of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of data governance and AI initiatives. Be ready to discuss how you've tackled complex data challenges in the past. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job postings and make sure your application stands out by tailoring it to the specific role.
We think you need these skills to ace Data Management Lead - Enterprise AI transformation (Inside IR35)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Management Lead. Highlight your experience with data governance and transformation programmes, and don’t forget to mention any relevant projects that showcase your skills in AI and data management.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re the perfect fit for this role. Share specific examples of how you've improved data quality or led initiatives in complex environments, and show us your passion for data management.
Showcase Your Stakeholder Engagement Skills: In your application, emphasise your ability to engage and influence senior stakeholders. We want to see how you've successfully collaborated across teams to drive data management practices, so include those experiences!
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 get all the updates about your application status. Plus, it’s super easy!
How to prepare for a job interview at Billigence
✨Know Your Data Management Fundamentals
Brush up on core data management principles like data quality, metadata, and governance. Be ready to discuss how these concepts apply to the role and how you've implemented them in past projects.
✨Showcase Your Stakeholder Engagement Skills
Prepare examples of how you've successfully engaged with senior stakeholders in previous roles. Highlight your ability to influence decisions and drive collaboration across business and technology teams.
✨Demonstrate Your Problem-Solving Abilities
Think of specific challenges you've faced in complex data environments and how you overcame them. This will show your hands-on delivery experience and strategic thinking capabilities.
✨Familiarise Yourself with AI and Data Governance Tools
Research modern data platforms and governance tooling relevant to the role. Being knowledgeable about these tools will help you stand out and demonstrate your commitment to staying current in the field.