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.
