AVP/VP, Data & Analytics

Sumitomo Mitsui Banking Corporation; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Sumitomo Mitsui Banking Corporation in Singapore seeks an experienced Programme Manager to lead APAC Data Hub delivery, coordinating data ingestion, engineering, governance, analytics, and reporting across multiple workstreams.

You will manage budgets, risks, and dependencies, partner with Business, IT, Enterprise Architecture, and regional teams, and drive adoption of Databricks-based data platforms and PowerBI analytics.

Qualifications

• Bachelor's degree in Information Systems, Computer Science, Engineering, Business, Finance, or related discipline.
• Master's degree or relevant postgraduate qualification is advantageous.
• 8–12 years of experience managing large-scale data, analytics, technology, or transformation programmes.
• 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.

Responsibilities

• Lead end-to-end APAC Data Hub programme delivery.
• Manage plans, milestones, budgets, risks, dependencies, and resources.
• Coordinate data ingestion, engineering, governance, analytics, and reporting workstreams.
• Track performance and ensure on-time delivery.
• Stakeholder management across Business, IT, EA, DMO, and regional teams.
• Governance, risk, and regulatory compliance activities.
• Drive data platform adoption using Databricks and cloud tech.
• Promote data governance, quality, metadata, and lifecycle management.

Skills

Data governance

Databricks Lakehouse

Cloud platforms

Data integration

PowerBI

Data warehousing

Data pipelines

Agile & Hybrid

Regulatory reporting

Education

Bachelor's degree in IS/CS/Engineering/Finance

Master's degree or postgraduate qualification

Tools

Databricks Lakehouse

PowerBI

Alteryx

Job description

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)