Director, Data & Analytics Programme

sumitomo mitsui banking corporation singapore branch; Singapore; Presencial; SGD 180.000 - 280.000; Jornada completa

Descripción de la vacante

Sumitomo Mitsui Banking Corporation Singapore Branch is seeking a senior Programme Lead to drive the APAC Data Hub initiative. You will shape roadmaps, governance, and operating models while coordinating global and regional delivery teams to deliver data platforms and analytics capabilities.

You will partner with architecture and business stakeholders to manage multi-region data platforms, ensure regulatory alignment, and promote best practices in data governance and secure, scalable cloud-based

Formación

• Bachelor's degree or higher in a relevant field with strong analytical background.
• Master's degree or MBA preferred for leadership and strategic oversight.

Responsabilidades

• Lead end-to-end delivery of the APAC Data Hub Programme ensuring alignment with objectives and standards.
• Develop programme roadmaps, delivery plans, governance, and success metrics.
• Manage programme budgets, timelines, resources, risks and vendor engagements.
• Ensure execution across data ingestion, management, analytics, reporting and data products.

Conocimientos

Data governance

Databricks

Cloud platforms

Data engineering

Regulatory reporting

Enterprise data management

Stakeholder management

Programme delivery

Educación

Bachelor's degree in Information Systems, Computer Science, Engineering, Business, Finance, or related discipline

Master's degree or MBA preferred

Herramientas

Databricks Lakehouse

Cloud platforms (Azure/AWS/GCP)

Descripción del empleo

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)