Division Head, Intelligence and Insights

HSBC Group; Hong Kong; On-site; HKD 1,200,000 - 2,000,000; Full time

Job summary

HSBC Group is seeking a Division Head, Intelligence and Insights to lead an agile analytics team focused on growth, AI use cases, and market insights. You will translate opportunities into measurable hypotheses and deploy agentic AI solutions with human-in-the-loop governance across digital channels and CRM.

You will drive insights into action, align stakeholders across Products, Channels, Frontline, Risk and Technology, and define OKRs and a prioritised analytics roadmap linked to growth

Qualifications

• Proven ability to influence senior stakeholders with data-backed trade-offs.
• Strong interest in AI trends and pragmatic application in regulated settings.
• Track record using data/AI to drive growth in large organisations.
• Experience building and leading analytics and insights teams.

Responsibilities

• Lead and coach an agile analytics team delivering growth-focused insights.
• Convert business opportunities into measurable hypotheses and models.
• Design and scale agentic AI solutions with human-in-the-loop governance.
• Own the insight-to-action operating model across channels and CRM.
• Embed best practices to improve decision-making and value tracking.
• Conduct market research to inform strategy and new products.
• Shape business banking initiatives using customer intelligence and KPIs.
• Drive cross-functional alignment to turn insights into go-to-market plans.
• Set OKRs, value cases, adoption metrics, and a roadmap of analytics initiatives.
• Enable frontline staff with data-driven tools for engagement.

Skills

Stakeholder management

AI fluency

Analytics leadership

Regulated environment

LLM-enabled workflows

Tools

Looker

Power BI

Tableau

Job description

GCB 4

We are currently seeking a high calibre professional to join our team as a Division Head, Intelligence and Insights.

In this role you will:

• Lead and coach an agile team delivering growth-focused analytics, agentic AI use cases, experimentation and market insights.
• Convert business opportunities into measurable hypotheses and quantitative frameworks; apply appropriate analytical methods (e.g., causal inference, forecasting, propensity, optimisation) and communicate outcomes in clear commercial language.
• Design and scale agentic AI solutions that can plan and execute tasks end-to-end (with human-in-the-loop governance), such as next-best-action orchestration, lead prioritisation, campaign execution support, and relationship-manager (RM) copilots.
• Own the insight-to-action operating model, ensuring insights translate into deployable plays: decision rules, workflows, prompts, playbooks, and embedded interventions across digital channels, CRM and frontline routines.
• Embed best practices from leading organisations to improve decision-making, performance management and customer outcomes, including test-and-learn discipline and measurable value tracking.
• Run iterative market and customer research covering trends, emerging needs, competitive landscape and innovative propositions to inform strategy and new product development; synthesise qualitative and quantitative signals into a single narrative.
• Proposition & strategic initiative shaping: develop Business Banking strategic initiatives using customer, behavioural and market intelligence—define target segments, value propositions, benefits, pricing/packaging hypotheses and success metrics.
• Drive cross-functional alignment across Products, Channels, Frontline, Risk and Technology to ensure insights convert into integrated go-to-market plans and effective commercialisation.
• Set the performance agenda for Intelligence & Insights: define OKRs, value cases, adoption metrics, and a prioritised roadmap of analytics and AI initiatives tied to growth outcomes.
• Empower customer facing staff’s sales & customer engagement through development and commercialisation of data-led / AI-engineered tools
• Establish, develop and maintain the infrastructure to keep track of commercial outcomes and effectiveness of sales and customer engagement initiatives

To be successful you will need:

• Strong stakeholder management and consulting skills, with the ability to influence senior internal stakeholders and external partners; confident facilitating decisions with data and clear trade-offs.
• Highly self-driven with strong interest in emerging technology and AI trends, and the ability to apply them pragmatically in a regulated environment.
• Proven track record using data and AI to drive growth—ideally blending experience from management consulting and/or large-scale analytics functions. Able to convert complex business challenges into analytical requirements and deliver practical, measurable solutions.
• Demonstrated experience building, leading and developing an analytics and insights team within a large organisation.
• Agentic AI fluency: experience (or strong working knowledge) of LLM-enabled workflows, tool-using agents, prompt and evaluation design, RAG patterns, human-in-the-loop controls, and operational monitoring (quality, drift, bias, safety).
• Experience with visualisation tools such as Looker, Power BI or Tableau preferred.
• Strong analytical capability to evaluate and recommend go-to-market strategy options, balancing performance, risk, cost and time-to-market.
• Commercial mindset and creativity to generate ideas that deliver impact and are executable.
• Understanding of Commercial/Business Banking customers, products and distribution is an advantage.

Opening up a world of opportunity

http://www.hsbc.com/careers

HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

Issued by The Hongkong and Shanghai Banking Corporation Limited.