Sumitomo Mitsui Banking Corporation
1 month ago
Director of Data Analytics Management - Sumitomo Mitsui Banking Corporation
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Company information
- Company
- Sumitomo Mitsui Banking Corporation
- Location
- Singapore Singapore
- Posted
- 1 month ago
Job description
Key Responsibilities
Programme Leadership & Delivery
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
Education
- Bachelor's degree in Information Systems, Computer Science, Engineering, Business, Finance, or related discipline.
- Master's degree or MBA preferred.
- 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.
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)
- 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.
- 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)
Required skills
- databricks
- etl/elt
- technology
- engineering
- it
- security
- finance
- reporting
- financial services
- aws
- continuous improvement
- financial reporting
- collaboration
- team development
- risk management
- innovation
- gcp
- azure
- machine learning
- agile methodologies
- data analytics
- data governance
- architects
- english communication
- data management
- business
- cloud certifications
- technical expertise
- analytics
- computer science
- data quality
- prince2
- digital transformation
- stakeholder management
- vendor management
- performance
- decision-making
- pmp
- banking
- business intelligence
- risk
- regulatory requirements
- resource planning
- budget management
- data platform
- talent development
- multidisciplinary teams
- certified scrum master
- apac
- information systems
- metadata management
- data warehousing
- accountability
- advanced analytics
- data products
- mba
- data lakes
- audit readiness
- regulatory reporting
- enterprise architecture
- operational readiness
- csm
- pgmp
- cloud-native technologies
- business objectives
- data ingestion
- data engineers
- senior stakeholders
- data privacy
- modern data engineering
- multinational
- roadmaps
- success metrics
- executive reporting
- global delivery
- governance frameworks
- agile certification
- domain expertise
- cloud-based data platforms
- programme leadership
- delivery management
- cross-border
- operating models
- cdmp
- management information
- enterprise data management
- business domain
- dependency management
- steering committees
- timeline management
- analysts
- business value
- data integration patterns
- modern data architectures
- delivery leads
- governance forums
- certified data management professional
- platform scalability
- competing priorities
- enterprise-wide
- data hub
- ai initiatives
- programme managers
- databricks lakehouse platform
- highly regulated industry
- complex programmes
- analytics ecosystems
- enterprise data strategy
- databricks certifications
- hybrid delivery methodologies
- data management office
- data product capabilities
- regional data strategy
- data hub architectures
- japanese language proficiency
- programme management certification
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