Senior Technical Program Manager

We are Global Logic, a Hitachi Group Company and a leader in digital engineering. We help brands across the globe design and build innovative products, platforms, and digital experiences for the modern world. By integrating experience design, complex engineering, and data expertise - we help our clients imagine what’s possible and accelerate their transition into tomorrow’s digital businesses.

At Global Logic, we have a strong track record of successfully delivering ground-breaking Cloud, Data & Digital Transformation programmes and we have an international reach working with a wide variety of projects and customers. Our approach enables companies to “build the exceptional” and be fit for purpose in the 21st century.

We partner with leading Financial Services organizations to deliver large-scale digital transformation, cloud, data, AI, and platform modernization initiatives across global delivery models. We are looking to hire an experienced Technical Programme Manager - Data & Intelligence Engineering

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. 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.

Key Responsibilities:

Delivery & Technical Oversight

• End-to-End Data Programme Delivery:
  Drive the full lifecycle of complex data initiatives (Data Lake houses, Data Mesh, Real-time Streaming, and ML/GenAI pipelines) from inception to production, ensuring alignment with Global Logic’s Delivery Framework and client governance.
• Architecture & Technical Alignment:
  Bridge the gap between C-suite strategy and engineering pods. Interrogate data architecture decisions, oversee cloud platform deployments (AWS/Azure/GCP, Databricks, Snowflake), and ensure technical solutions scale reliably and securely.
• Pre-Sales & Data Solutioning:
  Lead technical pre-sales engagements, architecting Statements of Work (SOWs) and solution proposals for complex data migration, platform modernization, and AI integration initiatives that are commercially sound and technically viable.
• Data Quality & MLOps Governance:
  Establish rigorous standards for data quality, data lineage, automated testing, and MLOps/Data Ops practices to guarantee model reliability and pipeline performance.

Programme Governance & Financial Rigour

• P&L & Commercial Accountability:
  Take full financial responsibility for large-scale data programmes (£10M+ annual revenue).
• Risk & Technical Debt Management & Regulatory Compliance & Data Ethics.

Global Leadership & Stakeholder Management

• Distributed Team Orchestration:
  Direct and empower distributed cross-functional teams (Data Engineers, Data Scientists, MLOps Engineers, Architects).
• C-Suite Advisory & Business Growth:
  …