Manager/Senior Manager - Data Management
Datatech Analytics
Manager / Senior Manager Data & AI | Financial Services Consulting
London, Manchester or Glasgow | Hybrid
Permanent | Consultancy
Competitive salary, bonus and benefits
Job ID 13186
A leading Consultancy is looking for experienced Data & AI leaders to join its Financial Services practice, working at the forefront of modern data, AI and enterprise transformation.
This is a senior programme leadership role for someone who combines technical depth, consulting expertise and commercial acumen. The successful candidate will lead complex, multi-workstream Data & AI programmes for major Financial Services clients, owning client relationships, delivery, teams and commercial outcomes.
The role
The successful candidate will:
- Lead complex enterprise Data & AI programmes from strategy through to production.
- Act as a trusted advisor to senior and C-suite stakeholders.
- Shape AI strategies, investment cases, roadmaps and measurable business outcomes.
- Lead teams of consultants, engineers and architects.
- Provide technical direction across data platforms, AI, GenAI, semantic architectures and agentic solutions.
- Ensure AI solutions are secure, governed, reliable and suitable for production.
- Navigate Financial Services regulatory and risk requirements.
- Lead proposals, RFPs, bids, client pitches and proposition development.
- Contribute to thought leadership and the growth of the Data & AI consulting practice.
What they're looking for
The ideal candidate will have:
- Proven experience leading complex, multi-workstream Data or AI programmes.
- Experience taking AI or advanced analytics solutions into production.
- Strong Financial Services experience across banking, insurance or capital markets.
- Technical credibility across data engineering, data platforms, ML or Generative AI.
- Experience leading and developing high-performing technical/consulting teams.
- Strong consulting and commercial experience, including business development and selling work.
- Experience engaging senior stakeholders and presenting at governance/board level.
Desirable
- Experience with Databricks, Azure, AWS, GCP, Snowflake, semantic layers, data products, agentic AI architectures and responsible AI in production would be highly beneficial.
This is an opportunity for a senior Data & AI professional to play a key role in shaping enterprise AI transformation within Financial Services, while contributing to the continued growth of a leading consulting practice.
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