Enterprise Data Delivery Lead

CAPGEMINI SINGAPORE PTE. LTD.; Singapore; On-site; SGD 120,000 - 150,000; Full time

Job summary

CAPGEMINI SINGAPORE PTE. LTD. is seeking an experienced Enterprise Data Delivery Lead to spearhead a strategic data transformation programme across multiple markets including Singapore, Japan, and the UK. This role requires a solid understanding of data platforms and involves navigating complex regulatory frameworks.

The ideal candidate will manage programme execution while balancing delivery with compliance controls, oversee large-scale projects, and engage effectively with diverse stakeholders. Strong project management skills and experience within financial services are essential for success in this position.

Qualifications

• 10+ years of experience in programme/project delivery focused on data.
• Experience managing complex multi-country programmes.
• Strong understanding of data architecture including data lakes and ETL/ELT.

Responsibilities

• Lead end-to-end delivery of large-scale data platform programmes.
• Ensure compliance with financial services regulations.
• Manage delivery across vendors in large-scale banking programmes.

Skills

Programme/project delivery

Stakeholder management

Data architecture concepts

Regulatory compliance exposure

Multi-vendor delivery management

Project management fundamentals

Tools

Databricks

Data governance tools (Collibra, Informatica)

Job description

Job Description

We are seeking an experienced Enterprise Data Delivery Lead to drive end-to-end delivery of a strategic data transformation programme focused on building enterprise data hubs on Databricks. This initiative spans multiple markets (e.g., Japan, Singapore, UK) and involves integrating data across diverse source systems within complex regulatory environments.

This role combines strong delivery leadership with a solid understanding of modern data platforms and requires navigating multi-country regulatory requirements, internal governance frameworks, and diverse stakeholder expectations. The successful candidate will act as the bridge between business, technology, data teams, and governance bodies, ensuring successful programme execution while maintaining compliance and delivering business value.

Key Responsibilities

Programme / Project Delivery Leadership

• Lead end-to-end delivery of large-scale data platform and data hub programmes across regions and workstreams
• Own project scope, roadmap, budget, timelines, and quality outcomes
• Manage dependencies across data ingestion, transformation, governance, and consumption layers
• Ensure successful implementation of Databricks-based modern data architecture

Data Platform Delivery Oversight

• Provide oversight of modern data stack delivery (e.g., Databricks, data lakes, medallion architecture, ETL/ELT pipelines)
• Collaborate with data engineers, architects, and platform teams to ensure scalable and secure solutions
• Align business data requirements with technical implementation
• Ensure robust data models, data quality controls, and metadata governance

Regulatory & Governance Management (Banking)

• Ensure compliance with financial services regulations across jurisdictions (e.g., MAS, FCA, FSA)
• Navigate internal governance frameworks including data governance, risk, audit, and security
• Maintain programme documentation, audit trails, and change control
• Balance delivery speed with control and compliance requirements

Stakeholder & Cross-Regional Alignment

• Act as primary interface across business stakeholders, country teams, technology functions, and central data offices
• Manage expectations across geographies with differing priorities and regulatory constraints
• Facilitate decision-making across senior stakeholders and governance forums
• Align global strategy with local market needs

Vendor & Partner Management

• Manage delivery across vendors and system integrators, including performance and contractual obligations
• Ensure consistent delivery standards across internal and external teams
• Coordinate multi-party delivery models in large-scale banking programmes

Agile / Hybrid Delivery Execution

• Drive Agile or hybrid delivery models suited to enterprise banking environments
• Balance iterative delivery with structured governance milestones
• Establish clear delivery cadences, sprint outcomes, and programme milestones
• Coach teams on delivery within regulated, multi-country contexts

Executive Reporting & Risk Management

• Prepare executive dashboards, programme updates, and steering committee materials
• Proactively manage risks, issues, and interdependencies across workstreams
• Escalate critical issues with clear mitigation strategies
• Enable data-driven decision-making for senior leadership

Key Requirements

Must-Have Experience & Skills

• 10+ years of experience in programme/project delivery, with a strong focus on data, analytics, or platform transformation initiatives
• Strong stakeholder management skills, with the ability to engage senior business and technology leaders and clearly articulate programme value
• Experience navigating internal governance, risk, audit, and regulatory frameworks
• Proven track record delivering modern data platform programmes (e.g., Databricks, Snowflake, Azure Data Platform)
• Strong understanding of data architecture concepts, including data lakes, data warehouses, ETL/ELT pipelines, and medallion architecture
• Experience working within financial services / banking environments, including regulatory and compliance exposure
• Demonstrated experience managing complex multi-country or regional programmes
• Proven ability to manage multi-vendor delivery models
• Strong project management fundamentals: scope, budget, timelines, and risk management

Good to Have

• Hands-on exposure to Databricks platform and ecosystem
• Experience with data governance tools (e.g., Collibra, Informatica, Microsoft Purview)
• Knowledge of banking regulations across APAC and EMEA regions
• Familiarity with cloud platforms (Azure preferred)
• Certifications in programme/project management (PMP, PRINCE2, SAFe, Agile)
• Experience driving data strategy, data operating models, or data monetisation initiatives
• Background in consulting or large-scale transformation programmes

Key Success Profile

• Delivery-focused leader with strong understanding of data (not just a traditional PM)
• Comfortable operating in ambiguous, cross-border environments
• Ability to balance governance requirements with execution speed
• Strong capability to translate between business, data, and technology stakeholders