Director, Data & Analytics Programme

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 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) #J-18808-Ljbffr