We are GlobalLogic, 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 GlobalLogic, 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 GlobalLogic’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 Lakehouses, Data Mesh, Real-time Streaming, and ML/GenAI pipelines) from inception to production, ensuring alignment with GlobalLogic’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/DataOps 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: Serve as the primary delivery escalation point for client C-suite stakeholders (CDO, CIO, CTO). Translate complex data capabilities into tangible business outcomes while identifying high-value expansion opportunities.
- Build a high-performance culture around data engineering best practices.
Role Requirements:
What You Bring to the Role
- 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 Lakehouses, 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.
- Mastery of SDLC, DataOps, and MLOps practices to drive rapid iteration, continuous delivery of data products, and automated testing frameworks.
- Strong financial governance (P&L management, margin optimization, commercial risk mitigation) for complex client engagements.
Strategic Influence & Communication
- High executive presence to bridge the gap between business strategy and technical execution, serving as a trusted advisor to client C-suite stakeholders.
- Ability to translate complex data engineering initiatives into measurable business outcomes, ROI, and core performance metrics.
We hire based on expertise, potential and enthusiasm to make a difference, then we give you the tools and skills you need to create impact. This role is based in our UK&I region.
Why work at GlobalLogic.
Our goal is to build an inclusive, positive culture where everyone can feel comfortable being themselves, empowering our people to create their own high standards and therefore more value. We work together to promote fairness while recognising, valuing and embracing differences – providing a transparent support structure and generous training budget to help our people develop skills to progress their career. Our region also supports a hybrid model which can flex across a wide spectrum of working options determined by our business, customer and individual needs.
You’ll benefit from a comprehensive health and wellness plan, private healthcare (clinical and mental wellbeing), and discounted gym memberships. We offer a strong benefits package including a competitive pension scheme and recognition schemes through bonus/reward initiatives. Colleagues are entitled to an annual volunteering day - so you can take time to support a cause close to your heart. We also love to stay social at our trips to the zoo, quiz nights, sports events, theater trips and much more.
We are an equal opportunities employer. It is our policy to promote an environment free from discrimination, harassment and victimisation.
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