AVP/VP, Enterprise Data & Analytics (Singapore)

Job description

Headquartered in Tokyo, Sumitomo Mitsui Banking Corporation (SMBC) is a leading global financial institution and a core member of Sumitomo Mitsui Financial Group (SMBC Group). Built upon our rich Japanese heritage since 1876, we put our customers first and provide seamless access to, from and within the Asia Pacific region. SMBC is one of the largest Japanese banks by assets and maintain strong credit ratings across our global integrated network. We work closely as one SMBC Group to offer personal, corporate and investment banking services to meet the needs of our customers. With sustainability embedded within our strategy and operations, we are committed to creating a society in which today’s generation can enjoy economic prosperity and well-being, and pass it on to future generations. Role Overview We are seeking an experienced Vice President, Enterprise Data Products, to lead and deliver strategic analytics initiatives across SMBC's APAC franchise. This role will serve as a critical bridge between business stakeholders, technology teams, data management functions, and senior executives to drive enterprise-wide data-driven decision making. The successful candidate will possess deep expertise in stakeholder management, project and program delivery, self-service analytics, dashboarding, data governance, and end-to-end analytics implementation. The role requires a strong blend of business consulting, analytics leadership, and hands-on delivery capabilities to transform complex business challenges into scalable analytics solutions that create measurable business impact. Key Responsibilities Analytics Strategy & Business Partnership Partner with senior business leaders across Corporate Banking, Investment Banking, Risk, Compliance, Operations, Finance, and Support Functions to identify and prioritize high-value analytics opportunities. Develop multi-year analytics roadmaps aligned to APAC business strategy and transformation objectives. Translate business requirements into scalable analytics products, dashboards, data assets, and automation solutions. Serve as a trusted advisor to senior stakeholders on data strategy, analytics adoption, and business intelligence best practices. Drive a culture of data-driven decision making through self-service analytics enablement and data literacy programs. End-to-End Analytics Delivery Lead full analytics lifecycle delivery from business case development, requirements gathering, data sourcing, solution design, implementation, testing, deployment, and benefit realization. Manage large-scale, cross-functional data and analytics programs spanning multiple countries and stakeholder groups across APAC. Deliver enterprise reporting, KPI frameworks, executive dashboards, predictive analytics, and machine learning use cases. Oversee development of reusable analytics assets and governed data products to accelerate business adoption. Ensure analytics solutions are scalable, sustainable, and aligned with enterprise architecture standards. Self-Service Analytics & Dashboarding Establish and promote self-service analytics capabilities to empower business users with governed access to trusted data. Design and implement enterprise dashboard solutions using Power BI, Tableau, and other visualization platforms. Define dashboard standards, KPI frameworks, visualization best practices, and reporting governance. Drive adoption of analytics products through user engagement, training, and change management initiatives. Monitor usage metrics and continuously enhance analytics products based on stakeholder feedback. Data Platform & Governance Leadership Collaborate with data engineering and architecture teams to leverage modern cloud-based analytics platforms. Support enterprise data management initiatives utilizing Databricks, Collibra, and related technologies. Ensure analytics solutions adhere to data governance, lineage, metadata, privacy, security, and regulatory requirements. Champion data quality frameworks and trusted data sourcing practices across the organization. Work closely with Risk, Audit, Compliance, and Data Management teams to ensure regulatory and governance alignment. Stakeholder & Project Management Lead complex analytics programs with multiple workstreams, dependencies, and regional stakeholders. Manage vendor, consulting partner, and technology provider relationships where applicable. Facilitate executive steering committees, project governance forums, and stakeholder workshops. Communicate project status, risks, issues, and business outcomes to senior management. Mentor junior analytics professionals and establish delivery best practices across teams. Required Qualifications & Experience Bachelor's degree in Data Analytics, Computer Science, Information Systems, Engineering, Statistics, Mathematics, Finance, or related field. Minimum 8-12 years of experience in enterprise analytics, business intelligence, data transformation, or data management roles. Proven track record delivering large-scale analytics and data initiatives within banking, financial services, or highly regulated industries. Strong experience managing senior stakeholders across business and technology functions. Demonstrated success leading cross-border and cross-functional initiatives across APAC. Experience implementing analytics solutions across the entire data-to-insight lifecycle. Strong consulting mindset with the ability to influence decision-making and drive business transformation. Technical Expertise Strong practical experience in: Analytics & Visualization Power BI (Advanced) Tableau (Advanced) Executive dashboard design and KPI development Data & Analytics Platforms Databricks or related technologies Azure Data Platform or related technologies SQL Enterprise Data Warehousing Data Lakehouse architectures Analytics & Automation Alteryx Designer Python and/or R Machine Learning fundamentals Process automation and workflow orchestration Data Governance & Metadata Management Collibra Data Lineage Data Quality Frameworks Metadata Management Regulatory Data Governance Professional Certifications Candidates should possess multiple relevant certifications, including: Preferred Certifications Alteryx Designer Advanced Certification Snowflake SnowPro Core Certification Collibra Ranger or Professional Certification Tableau Certified Data Analyst / Tableau Certified Professional Microsoft Certified: Power BI Data Analyst Associate Databricks Certified Data Analyst or Data Engineer Azure Data Fundamentals / Azure Data Engineer Associate PMP, PRINCE2, Agile, Scrum Master or equivalent project management certification Equivalent industry-recognized certifications will be considered.