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# Manager/Senior Manager - Data Management

- **Company:** Datatech Analytics
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Information Engineering, Machine Learning, Google Cloud, Snowflake, Generative AI, Data Layers, Data Management, Virtual Agents, Databricks
- **Published:** September 19, 2026
- **Apply:** https://datatech.org.uk/job/manager-senior-manager-data-management-60939772/?form=apply#wpjb-scroll

## About the Role

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.

## Description

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.


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