AVP/VP, Data Products & Analytics
At a glance
VP-level Data Leadership role at Sumitomo Mitsui Banking Corporation. Singapore.
Pay not stated Data Leadership salary
dataroles summary, based on the employer's posting.
What you'll do
- Drive APAC Data Hub delivery, tracking plans, budgets, milestones, risks and resources across connected workstreams
- Coordinate business, technology and regional teams, including global Databricks and Data Hub contacts
- Run governance forums and keep senior managers updated on progress, risks and delivery outcomes
- Guide platform, data product, analytics, reporting and AI delivery, including PowerBI initiatives
- Manage programme changes and support security, regulatory, audit and compliance controls
What you bring
- A bachelor's degree in information systems, computer science, engineering, business, finance or a related discipline
- Eight to twelve years leading major data, analytics, technology or transformation programmes
- Experience delivering enterprise data platforms across multinational settings and coordinating business, architecture and technical teams
- Strong knowledge of data governance, Databricks, cloud analytics, data engineering and BI tools such as PowerBI
- Experience managing vendors, system integrators and external delivery partners
Who this fits
This role suits a senior programme leader who can connect business, architecture and engineering teams while steering data platform and analytics delivery. Banking or another regulated-sector background is preferred. A master's degree and certifications in data management, Databricks or cloud platforms are also preferred.
From the employer
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 Products & 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)
Professional Certifications (Preferred)
CDMP (Certified Data Management Professional)
Databricks certifications
Cloud platform certifications (Azure, AWS, or GCP)
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