Manager​/Senior Manager - Data Management

Manager / Senior Manager Data & AI | Financial Services Consulting

London, Manchester or Glasgow | Hybrid

Permanent | Consultancy

Competitive salary, bonus and benefits

Job

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 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.

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.

• 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.