AVP/VP, Enterprise Data & Analytics

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.