Manager/Senior Manager – Data Management

Company: Datatech Analytics
Apply for the Manager/Senior Manager – Data Management
Location: London
Job Description:

Overview

In this senior role, you will lead enterprise Data & AI programmes across Financial Services clients, from strategy to production. You’ll act as a trusted advisor to senior stakeholders and shape AI roadmaps, investment cases, and measurable business outcomes. You’ll guide cross-functional teams of consultants, engineers, and architects, ensuring secure, governed, production-ready AI solutions. This is a chance to shape enterprise AI transformation within a leading consultancy and grow the Data & AI practice.

Pay / Benefits

  • hybrid working
  • competitive salary
  • bonus
  • benefits
  • London/Manchester/Glasgow locations

Responsibilities

  • Lead complex, multi-workstream Data & AI programmes from strategy through production
  • Act as trusted advisor to senior/C-suite stakeholders
  • Shape AI strategies, roadmaps, and measurable business outcomes
  • Lead and develop teams of consultants, engineers, and architects
  • Provide technical direction across data platforms, AI, GenAI, and semantic architectures
  • Ensure AI solutions are secure, governed, and production-ready
  • Navigate regulatory and risk requirements in Financial Services
  • Lead proposals, bids, client pitches, and proposition development
  • Contribute to thought leadership and practice growth

Key requirements

  • 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
  • stakeholder management
  • leadership
  • communication
  • data engineering
  • data platforms
  • ML

Posted: September 20th, 2026