Director, Data & Analytics Programme

The Japan Research Institute, Limited (Singapore Branch); Singapore; On-site; SGD 180,000 - 250,000; Full time

Job summary

The Japan Research Institute, Limited (Singapore Branch) is seeking a senior programme leader to drive the APAC Data Hub Programme, delivering enterprise-scale data platforms and analytics solutions across regions. You will manage complex, multi-stakeholder delivery with a focus on governance, risk, and regulatory alignment.

Leading cross-functional teams, you will partner with global delivery and Japan-based stakeholders to drive architectural consistency, platform scalability, and AI-enabled

Qualifications

• Minimum 15+ years in large-scale technology, data, analytics, or digital transformation programmes.
• Experience delivering enterprise-wide data platform and analytics initiatives in multinational organisations.
• Experience managing multi-million-dollar programmes with cross-region stakeholders and delivery teams.
• Banking/financial services or highly regulated industry experience preferred.

Responsibilities

• Lead end-to-end delivery of the APAC Data Hub Programme, aligning with business objectives, regulatory requirements and EA standards.
• Develop and execute programme roadmaps, operating models, governance, and success metrics.
• Manage budgets, timelines, resource planning, risks, dependencies and vendor engagements.
• Oversee data ingestion, data management, analytics, reporting, data products, and AI initiatives across workstreams.

Skills

Stakeholder management

Data governance

Leadership

Data strategy

APAC delivery

Education

Bachelor's degree

Master's degree preferred

Tools

Databricks

Cloud Platforms (Azure/AWS/GCP)

Data warehousing / data lakes

Job description

Key Responsibilities

• 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 is advantageous but not mandatory, as the role may involve communication and coordination with Japan-based stakeholders and Head Office teams.

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)