Engineering Manager - Data & AI Delivery Lead

Story Terrace Inc.

London

On-site

NOK 1,141,000 - 1,648,000

Full time

14 days+

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Benefits offered by this job

Bonus scheme
EMI share options
£6,000 annual training budget
Up to 12% pension match
Private healthcare

Job summary

QuantSpark in London seeks an Engineering Manager to lead a small team of engineers, providing coaching, performance direction, and technical credibility. You will partner with product and engagement managers on delivery, shape architecture, and guide AI usage across engagements.

The role covers financial services, retail, government, and societal-impact projects. You will mentor engineers, set priorities, and drive high-quality client work while growing the team’s capabilities in data and

Qualifications

  • Experience managing engineers with coaching, performance conversations, and career development.
  • Ability to partner with product and engagement managers on client delivery.
  • Credible background in data/analytics/software engineering.

Responsibilities

  • Lead and develop a small team of engineers: run 1:1s, coach and manage performance.
  • Partner with product and engagement managers on client delivery, balancing scope, timelines, and quality.
  • Provide architectural and design guidance across the team’s work.
  • Set direction on how the team applies AI, exercising judgement on value and coaching engineers to do the same.
  • Work across a varied client base spanning financial services, retail, government, and societal-impact projects.

Skills

Engineering management
People coaching
Delivery collaboration
Technical credibility
AI judgement

Job description

QuantSpark in London seeks an Engineering Manager to lead a small team of engineers, providing coaching, performance direction, and technical credibility. You will partner with product and engagement managers on delivery, shape architecture, and guide AI usage across engagements.

The role covers financial services, retail, government, and societal-impact projects. You will mentor engineers, set priorities, and drive high-quality client work while growing the team’s capabilities in data and

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