Executive Director of Analytics Engagement Advisory Office 1

Product & Use-Case Strategy & Roadmap 

• Define and maintain a multi-year analytics product and use-case roadmap aligned to SMBC’s APAC business priorities, client strategies, and global CDAO direction 

• Identify, evaluate, and prioritise high-value analytics use cases across client, market, risk, and operational domains 

• Ensure analytics products are designed for scalability, reusability, and adoption — moving beyond bespoke analysis to embedded, production-grade solutions 

• Drive the commercialisation of analytics capabilities, establishing clear value propositions for each product and use case 

• Track product lifecycle from ideation through delivery, measuring adoption and return on analytics investment 

Business Demand Management & Prioritisation 

• Establish and operate a structured demand intake and prioritisation framework for analytics requests across APAC business lines 

• Act as the central coordination point between business stakeholders and CDAO delivery teams, ensuring demand is qualified, scoped, and aligned to strategic priorities 

• Manage the analytics portfolio pipeline, balancing capacity, complexity, and business impact to optimise resource allocation 

• Provide transparency to senior leadership on demand volumes, pipeline health, and delivery outcomes through regular reporting and governance forums 

• Ensure all analytics engagements are underpinned by clear business cases with measurable commercial, risk, or productivity outcomes 

Market & Franchise Engagement 

• Build and sustain deep partnerships with senior business leaders, relationship managers, and franchise heads across APAC markets 

• Proactively engage with market and franchise stakeholders to identify emerging analytics opportunities, anticipate demand, and shape analytics roadmaps 

• Represent the CDAO at senior business forums, steering committees, and strategy sessions, influencing prioritisation and investment decisions 

• Drive analytics awareness, literacy, and adoption across the franchise, fostering a culture of data-driven decision-making 

• Ensure analytics insights are contextualised to market and franchise needs, delivering actionable intelligence rather than generic reporting 

External Partnerships & Client Advisory 

• Develop and manage strategic partnerships with external analytics, technology, and data vendors (e.g., consulting firms, fintechs, data providers) to augment SMBC’s analytics capabilities 

• Provide analytics advisory services to key clients, leveraging SMBC’s data and analytics assets to deepen client relationships and create differentiated value 

• Identify opportunities for co-creation and joint analytics initiatives with clients and partners, positioning SMBC as a thought leader in data-driven banking 

• Ensure all external engagements comply with SMBC’s data governance, confidentiality, and third-party risk management frameworks 

• Monitor market trends, competitive intelligence, and emerging analytics innovations to inform strategy and partnership decisions 

Governance, Risk & Responsible Analytics 

• Ensure all analytics engagements and products operate within SMBC’s data governance, risk, and control frameworks 

• Embed responsible analytics and AI principles, including transparency, auditability, and appropriate use controls 

• Partner closely with risk, compliance, and legal teams to manage analytics-related risk across all engagement streams 

People, Capability & Performance 

• Lead, develop, and mentor a team of professionals across the four sub-functions, building a high-performing, diverse, and commercially minded analytics engagement capability 

• Establish KPIs and value metrics to track engagement quality, adoption, business impact, and return on analytics investments 

• Foster a culture of analytical excellence, client-centricity, curiosity, and continuous improvement 

• Attract and retain top talent, ensuring the team maintains deep expertise in analytics strategy, stakeholder management, and commercial advisory 

Required Qualifications & Experience 

• Bachelor’s degree in a quantitative, analytical, or business discipline (e.g., Statistics, Economics, Mathematics, Computer Science, Finance, MBA) 

• 15+ years of experience in analytics, strategy, consulting, data, or technology roles within large, complex financial institutions or professional services firms 

• Proven track record of leading analytics engagement, advisory, or business partnering functions at scale 

• Demonstrated ability to translate analytics capabilities into measurable business value and commercial outcomes 

• Strong understanding of modern analytics platforms, tools, and operating models (e.g., Azure, Databricks, Power BI, Alteryx, Collibra) 

• Exceptional stakeholder engagement, influencing, and communication skills at C-suite and senior leadership level 

• Experience managing external partnerships, vendor relationships, and client advisory engagements 

• Deep understanding of banking products, markets, and regulatory landscape across APAC 

Preferred Qualifications 

• Bachelor’s, Master’s degree or MBA 

• Experience in management consulting or analytics advisory roles serving financial services clients 

• Familiarity with BCBS239, MAS, HKMA, and other APAC regulatory frameworks as they relate to data and analytics 

• Track record of building and scaling analytics teams across multiple geographies