Director, Data & Analytics Programme

Key Responsibilities

Programme Leadership & Delivery

• Lead the end-to-end delivery of the APAC Data Hub Programme, ensuring alignment with business objectives, regulatory requirements, and enterprise architecture standards.
• Develop and execute programme roadmaps, delivery plans, operating models, governance frameworks, and success metrics.
• Manage programme budgets, timelines, resource planning, risks, dependencies, and vendor engagements.
• Ensure effective execution across multiple workstreams, including data ingestion, data management, analytics, reporting, data products, and AI initiatives.

Stakeholder Management

• Serve as the primary liaison between Business, IT, Enterprise Architecture, Data Management Office, and global delivery teams.
• Build strong relationships with senior stakeholders across APAC and Head Office to drive alignment and decision-making.
• Facilitate governance forums, steering committees, and executive reporting.
• Manage competing priorities and dependencies across multiple business and technology teams.

Data Platform & Databricks Implementation

• Partner with technology and architecture teams to deliver enterprise-scale data platforms leveraging Databricks and cloud-native technologies.
• Collaborate with global teams supporting Databricks implementations across other regional data hubs to ensure consistency, reusability, and alignment with target architecture.
• Drive adoption of modern data engineering, analytics, governance, and data product capabilities.
• Ensure platform scalability, performance, security, and operational readiness.

Enterprise Data & Analytics Strategy

• Support the execution of the regional data strategy and roadmap.
• Drive the delivery of data products, management information, financial reporting, regulatory reporting, and advanced analytics use cases.
• Promote best practices in data governance, data quality, metadata management, and business-domain-oriented data design.
• Identify opportunities to leverage AI, machine learning, and analytics capabilities to deliver business value.

Risk, Governance & Regulatory Alignment

• Ensure programme delivery complies with enterprise risk, data governance, security, privacy, and regulatory requirements.
• Oversee programme risk management, issue resolution, change control, and audit readiness.
• Establish robust governance and reporting mechanisms to track programme health and outcomes.

Leadership & Team Development

• Lead multidisciplinary teams comprising programme managers, architects, delivery leads, data engineers, analysts, and vendors.
• Foster a culture of collaboration, innovation, accountability, and continuous improvement.
• Mentor and develop talent across programme and delivery teams.

Requirements

Education

• Bachelor's degree in Information Systems, Computer Science, Engineering, Business, Finance, or related discipline.
• Master's degree or MBA preferred.

Experience

• 15+ years of experience in large-scale technology, data, analytics, or digital transformation programmes.
• Proven track record delivering enterprise-wide data platform and analytics initiatives in multinational organizations.
• Extensive experience managing complex, multi-million-dollar programmes involving multiple stakeholders and delivery teams across regions.
• Experience working with global delivery teams and managing cross-border programme dependencies.
• Banking, financial services, or other highly regulated industry experience is strongly preferred.

Technical & Domain Expertise

Strong understanding of:

• Enterprise Data Management and Data Governance
• Databricks Lakehouse Platform and modern data architectures
• Cloud-based data platforms and analytics ecosystems
• Data warehousing, data lakes, and data hub architectures
• Data engineering, ETL/ELT, and data integration patterns
• Business intelligence, reporting, and analytics solutions
• Agile and hybrid programme delivery methodologies
• Regulatory reporting and financial data environments (preferred)

Language Requirements

• Strong written and verbal English communication skills.
• Japanese language proficiency would be beneficial for communication with Japan-based stakeholders and Head Office. However, it is not a mandatory requirement, and candidates without Japanese language skills are encouraged to apply.

Professional Certifications (Preferred)

• PMP, PgMP, PRINCE2, or equivalent programme management certification
• Certified Scrum Master (CSM) or Agile-related certification
• CDMP (Certified Data Management Professional)
• Databricks certifications
• Cloud certifications (Azure, AWS, or GCP)