Senior Data & AI Programme Lead

GlobalLogic; Glasgow; Hybrid; GBP 110,000 - 170,000; Full time

Benefits offered by this job

Hybrid work model

Private healthcare

Pension scheme

Annual volunteering day

Wellness program

Job summary

GlobalLogic UK seeks an accomplished Technical Programme Manager (Data & Intelligence Engineering) to lead multi-million-pound data transformation initiatives across BFSI sectors, driving end-to-end delivery and governance. You will partner with C-suite executives, align data strategy with business goals, and ensure architectural integrity and commercial viability.

The role requires deep knowledge of Data Lakehouses, Data Mesh, real-time analytics, and GenAI/MLOps, with a proven ability to scale

Qualifications

• 15+ years in Digital Engineering or IT Consulting
• Deep understanding of modern data stacks and AI/ML lifecycle management
• Experience overseeing enterprise-scale migrations and analytics workloads across cloud platforms
• Strong governance, GDPR/CCPA knowledge, BCBS 239, DORA familiarity

Responsibilities

• Drive end-to-end data initiatives from inception to production
• Bridge business strategy and engineering delivery; align with governance
• Lead pre-sales engagements and craft SOWs for data migration and AI initiatives
• Establish data quality, lineage, automated testing, and MLOps standards
• Manage P&L, margins, and regulatory compliance across large programmes

Skills

Industry leadership

Data & AI architecture fluency

Cloud & platform mastery

Data governance & compliance

Programme & delivery leadership

Executive advisory

Strategic influence

Education

Computer Science / Data Science / Software Engineering degree

Tools

AWS

Azure

GCP

Databricks

Snowflake

Job description

GlobalLogic UK seeks an accomplished Technical Programme Manager (Data & Intelligence Engineering) to lead multi-million-pound data transformation initiatives across BFSI sectors, driving end-to-end delivery and governance. You will partner with C-suite executives, align data strategy with business goals, and ensure architectural integrity and commercial viability.

The role requires deep knowledge of Data Lakehouses, Data Mesh, real-time analytics, and GenAI/MLOps, with a proven ability to scale