AVP/VP, Data & Analytics

Key Responsibilities

Programme Delivery & Execution

• Support the end-to-end delivery of the APAC Data Hub Programme and related data transformation initiatives.
• Manage programme plans, milestones, budgets, risks, dependencies, and resource requirements.
• Coordinate delivery across multiple workstreams, including data ingestion, data engineering, governance, analytics, reporting, and data product development.
• Track programme performance and ensure timely delivery of agreed outcomes.

Stakeholder Management

• Partner closely with Business, IT, Enterprise Architecture, Data Management Office, and regional stakeholders to drive successful programme execution.
• Coordinate with Head Office and global teams responsible for Databricks and regional Data Hub implementations.
• Facilitate project governance forums, steering committees, and working groups.
• Manage stakeholder communications and provide regular programme status reporting to senior management.

Databricks & Data Platform Delivery

• Support the implementation and adoption of enterprise data platforms based on Databricks and modern cloud technologies.
• Work with architecture and engineering teams to ensure alignment with enterprise standards and target-state architecture.
• Coordinate regional requirements and leverage best practices from other Data Hub implementations globally.
• Ensure delivery quality, scalability, operational readiness, and business adoption.

Data & Analytics Enablement

• Support delivery of data products, analytics, regulatory reporting, management information, and AI initiatives with PowerBI.
• Collaborate with business and technical teams to translate requirements into executable delivery plans.
• Promote best practices in data governance, data quality, metadata management, and data lifecycle management.
• Identify opportunities to improve data capabilities and drive business value through analytics.

Risk, Governance & Compliance

• Manage programme risks, issues, dependencies, and change requests.
• Ensure adherence to established governance, security, risk management, and regulatory requirements.
• Support audit, compliance, and control activities related to programme delivery.
• Maintain transparent reporting of programme status, risks, and delivery outcomes.

Requirements

Education

• Bachelor's degree in Information Systems, Computer Science, Engineering, Business, Finance, or related discipline.
• Master's degree or relevant postgraduate qualification is advantageous.

Experience

• 8-12 years of experience managing large-scale data, analytics, technology, or transformation programmes.
• Demonstrated experience delivering enterprise data platform initiatives in multinational environments.
• Strong experience coordinating across business, technology, architecture, and delivery teams.
• Experience managing vendors, system integrators, and external partners.
• Banking, financial services, or other regulated industry experience is preferred.

Technical & Domain Expertise

Strong understanding of:

• Enterprise Data Management and Data Governance
• Databricks Lakehouse Platform and modern data architectures
• Cloud-based data and analytics platforms
• Data warehousing, data lakes, and Data Hub concepts
• Data engineering and integration methodologies
• Business intelligence and analytics solutions including PowerBI, Alteryx or other similar tools
• Agile, Waterfall, and hybrid 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, PRINCE2, PgMP, or equivalent programme/project management certification
• Agile or Scrum certification
• CDMP (Certified Data Management Professional)
• Databricks certifications
• Cloud platform certifications (Azure, AWS, or GCP)