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Technical Delivery Lead; Data & Intelligence Engineering) IRC

Job in City of Edinburgh, Edinburgh, City of Edinburgh Area, EH1, Scotland, UK
Listing for: GlobalLogic Inc.
Full Time position
Listed on 2026-10-18
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 120000 - 180000 GBP Yearly GBP 120000.00 180000.00 YEAR
Job Description & How to Apply Below
Position: Technical Delivery Lead (Data & Intelligence Engineering) IRC303383
Location: City of Edinburgh

Technical Delivery Lead (Data & Intelligence Engineering) IRC
303383 Function

IT, Telecom & Internet

Experience

10-15 years

Location

United Kingdom - Edinburgh, Glasgow, London, Manchester

Skills

Architecture, Big Data, Delivery Execution

About the Role

In an era defined by data-driven transformation and applied AI, global enterprises require partners who can do more than maintain legacy infrastructure they need visionary engineering leaders to design, scale, and operationalize the next generation of AI-enabled platforms, intelligence ecosystems, and modern data architectures.

As a Technical Programme Manager (Data & Intelligence Engineering) based in the UK, you will serve as the senior delivery authority accountable for the end-to-end execution of multi-million-pound data transformation initiatives across the Banking, Financial Services, and Insurance (BFSI) sectors.

The Operating Model

You will operate within Global Logic’s high-impact leadership model, working in a strategic triad alongside a Client Partner/Sales Lead (commercial growth) and supported by Offshore Delivery Directors (operational execution). You are the primary delivery anchor ensuring technical integrity, operational scale, and commercial profitability.

You will serve as the trusted, technical "face of delivery" to C-suite client executives (CDOs, CIOs, CTOs). You will bridge the gap between complex enterprise data strategies - spanning Cloud Migrations, Data Mesh architectures, Real-time Analytics, and Generative AI/MLOps pipelines - and precise execution across globally distributed engineering pods of 100+ people.

The Impact

By pairing technical depth with executive gravitas, you will de-risk platform modernisation, ensure strict financial and regulatory governance (e.g., BCBS 239, DORA), drive referenceable client outcomes, and unlock measurable business value through intelligence engineering.

Requirements

What You Bring to the Role

Industry Leadership: 15+ years of experience in Digital Engineering or IT Consulting with strong Banking, Financial Services & Insurance experience.

Domain & Technical Expertise

Data & AI Architecture Fluency:
Deep understanding of modern data stacks (Data Lake houses, Data Mesh, Real-time Streaming, ETL/ELT pipelines) and AI/ML lifecycle management (MLOps, GenAI integration, Model Governance). Ability to challenge architectural patterns and supervise technical teams without acting as the hands-on architect.

Cloud & Platform Mastery:
Expertise in overseeing enterprise-scale migrations, data warehousing, and analytics workloads across major cloud platforms (AWS, Azure, GCP, Databricks, Snowflake).

Data Governance & Compliance:
Robust understanding of data security, lineage, privacy (GDPR, CCPA), and financial sector regulatory frameworks (BCBS 239, DORA, Basel standards) governing financial data engineering.

Programme & Delivery Leadership

Large-Scale Delivery Track Record: 15+ years in Digital/Data Engineering or IT Consulting, with proven success leading complex, fixed-outcome programmes (£10M+ annual revenue) and managing distributed teams of 100+ across global delivery centers.

Agile Data Operations:
Mastery of SDLC, Data Ops, and MLOps practices to drive rapid iteration, continuous delivery of data products, and automated testing frameworks.

Commercial & Risk Rigour:
Strong financial governance (P&L management, margin optimization, commercial risk mitigation) for complex client engagements.

Strategic Influence & Communication

Executive Advisory:
High executive presence to bridge the gap between business strategy and technical execution, serving as a trusted advisor to client C-suite stakeholders (CDO, CIO, CTO).

Value & Impact Orchestration:
Ability to translate complex data engineering initiatives into…

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