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- Tasks: Lead data governance initiatives and ensure responsible AI practices for clients.
- Company: Top IT & Data Consultancy with a focus on innovation and collaboration.
- Benefits: Attractive salary, benefits package, and flexible working arrangements.
- Why this job: Make a real difference in data governance and AI assurance while working with diverse teams.
- Qualifications: Experience in data governance and AI assurance, strong consulting skills required.
- Other info: Hybrid role with opportunities for travel and professional growth.
The predicted salary is between 90000 - 110000 £ per year.
We are looking to recruit a Senior Data & AI Governance Consultant for a leading IT & Data Consultancy. You will help clients build robust data governance foundations and adopt responsible AI. You will create practical artefacts - policies, standards, operating models, and evaluation frameworks - that improve data quality, model reliability, risk posture, and compliance.
This is a hybrid role and although primarily home based you will be required to work on customer site when required.
What you'll do:
- Deliver data governance workstreams, including policies, stewardship models, RACI, data quality monitoring and remediation.
- Implement metadata and cataloguing: business glossaries, lineage, classification, and sensitivity labels.
- Contribute to AI assurance across the lifecycle, including training data preparation, model selection support, evaluation and monitoring, and operational governance.
- Produce clear artefacts: governance frameworks, procedures, evaluation plans, risk assessments, and assurance reports.
- Run stakeholder workshops, capture requirements, and translate into actionable designs.
- Support benefits tracking (e.g., data quality uplift, lineage coverage, model performance, incident reduction).
- Work collaboratively in multi-disciplinary teams and mentor junior consultants.
What you'll bring:
- Proven experience in data governance delivery: policies, stewardship, data quality, metadata, privacy, and protection.
- Practical understanding of AI assurance: data preparation, model selection, evaluation, monitoring, and lifecycle governance.
- Strong consulting skills: problem-solving, facilitation, documentation, and stakeholder communication.
- Ability to work under broad direction and lead workstreams independently.
- Active SC clearance and willingness to travel to UK client sites.
Desirable: Experience in UK Central Government, Defence, or other regulated environments; familiarity with AI and data frameworks (DAMA-DMBOK, NIST AI RMF, ISO 23894, ISO 27001, GDPR/DPA 2018); hands-on with platforms such as Microsoft Purview, Azure ML, Databricks, Power BI, Collibra, or Alation; exposure to MLOps practices.
Senior Data & AI Governance Consultant in City of London employer: Data Careers
Contact Detail:
Data Careers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data & AI Governance Consultant in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and AI space. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Showcase your expertise! Create a portfolio that highlights your work in data governance and AI assurance. Share case studies or examples of artefacts you've produced. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to data governance and AI. Think about how you can demonstrate your problem-solving skills and experience with stakeholder communication. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Data & AI Governance Consultant in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Data & AI Governance Consultant role. Highlight your data governance and AI assurance experience, and don’t forget to mention any relevant frameworks you’ve worked with!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data governance and AI. Share specific examples of how you've delivered successful projects in the past and how you can bring that expertise to our team.
Showcase Your Consulting Skills: Since this role involves working with clients, make sure to highlight your consulting skills in your application. Talk about your problem-solving abilities, how you facilitate discussions, and your experience in stakeholder communication.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Data Careers
✨Know Your Stuff
Make sure you brush up on data governance and AI assurance concepts. Familiarise yourself with relevant frameworks like DAMA-DMBOK and ISO standards. Being able to discuss these confidently will show that you're not just a candidate, but a knowledgeable expert.
✨Showcase Your Experience
Prepare specific examples from your past work that highlight your experience in delivering data governance policies and AI assurance. Use the STAR method (Situation, Task, Action, Result) to structure your answers and make them impactful.
✨Engage with Stakeholders
Since this role involves running stakeholder workshops, practice how you would capture requirements and translate them into actionable designs. Think about how you can demonstrate your facilitation skills during the interview.
✨Be Ready to Discuss Tools
Familiarise yourself with tools mentioned in the job description, like Microsoft Purview and Azure ML. Be prepared to discuss how you've used similar platforms in the past and how they can benefit the role you're applying for.
