Product Director, Enterprise Change AI

HSBC; Hong Kong; On-site; HKD 2,000,000 - 3,500,000; Full time

Job summary

HSBC Holdings plc in Hong Kong seeks a Product Director, Enterprise Change AI to own the strategy, roadmap and outcomes for AI-enabled products across the PDLC and SDLC. The role connects user needs with standardized delivery, trusted knowledge, and integrations across core systems.

You will collaborate with Group AI, Technology and business teams to prioritise high-value workflows, establish guardrails, and drive reusable capabilities, responsible AI, and measurable productivity.

Qualifications

• Significant product leadership experience owning an enterprise platform or AI-enabled workflow proposition from strategy through scaled adoption.
• Deep understanding of change frameworks, PDLC/SDLC, and the work of product owners, business analysts, designers, architects, and delivery and governance teams.
• Experience shaping AI, agentic, workflow orchestration, knowledge management or low-code capabilities with technical depth.
• Proven platform-as-a-product leadership balancing enterprise standards and reuse with diverse contexts and user needs.

Responsibilities

• Define the vision and roadmaps for enterprise AI-enabled builder capabilities across the PDLC/SDLC.
• Redesign end-to-end user and delivery journeys, reducing hand-offs and disjointed apps.
• Prioritise common building blocks, agents, templates and knowledge services for reuse across value streams.
• Provide transparent tooling convergence and guide build/buy/retire decisions.
• Partner with users, owners, analysts and designers to prioritise use cases by value and effort.
• Define requirements for governed knowledge domains and integrations with Jira, Figma, repositories.
• Embed risk, privacy, security and auditability into product design and testing.
• Establish co-build/self-service model and measurable adoption and cost outcomes.
• Lead cross-functional teams across geographies, balancing governance with context.

Skills

Enterprise platform leadership

AI-enabled workflow

PDLC/SDLC understanding

Change frameworks

Stakeholder influence

Vendor assessment

Business cases

Unit economics

Portfolio rationalisation

Regulated environment

Tools

Jira

Figma

Repositories

Knowledge platforms

Workflow tools

Job description

Some careers open more doors than others.

If you’re looking for a career that will unlock new opportunities, join HSBC and experience the possibilities. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.

Our GCIO organisation plays a critical role for the bank. This team partners with our businesses to build the platforms, systems, and products that our customers use every day. This team keeps people’s money and data safe, and is at the forefront of driving innovation for our businesses, customers, and colleagues.

We are currently seeking a high calibre professional to join our team as a Product Director, Enterprise Change AI.

Role purpose:

The Product Director, Enterprise Change AI will own the strategy, capability roadmap and business outcomes for AI-enabled products and platforms that help product, change and delivery teams accelerate the PDLC and the non-engineering aspects of SDLC. The remit spans problem framing and intake, requirements and business analysis, planning, experience and solution design, workflow orchestration, control evidence, testing preparation, traceability and the reusable skills, agents and knowledge needed to support these activities.

Reporting to the Group Head of Product, Enterprise AI Tooling & Digital Experience, the role will establish a coherent enterprise product proposition for AI-enabled change rather than a collection of isolated tools or local automations. It will connect user needs, standardised delivery processes, trusted knowledge, AI agents and integrations with core systems of record to provide a simpler end-to-end experience for product, change and delivery teams working across the PDLC and SDLC, while enabling business and value-stream teams to extend capabilities safely.

The Product Director will work across Group AI, Technology, business and value-stream teams to prioritise the highest-value workflows, make disciplined build, buy, converge and retire decisions, and ensure capabilities are reusable where common needs exist without forcing a single implementation where context requires variation. The role will be accountable for adoption, quality, risk and measurable productivity and cost outcomes, with clear baselines and controls to avoid double counting value.

Principal Accountabilities:

• Product strategy and roadmap — Define the vision, target user experience, product strategy and sequenced roadmap for enterprise AI-enabled builder capabilities across across the product development lifecycle and the non-engineering aspects of the software development lifecycle.
• Workflow and experience redesign — Start with the end-to-end user and delivery journey, simplifying and redesigning work before automating it; reduce hand-offs, duplicated entry and movement between disconnected applications.
• Reusable platform capabilities — Prioritise common building blocks, agents, templates, workflow patterns and knowledge services that can be reused across value streams while supporting controlled extension for context-specific needs.
• Portfolio convergence — Create a transparent view of overlapping internal and third-party tooling; lead evidence-based build, buy, partner, converge and retire decisions to avoid fragmented experiences and duplicative investment.
• Product discovery and prioritisation — Partner with users, product owners, business analysts, designers and delivery leaders to identify pain points, validate hypotheses and prioritise use cases against user value, enterprise reuse, strategic alignment, context dependency, scale economics and effort.
• Knowledge and integrations — Define the product requirements for governed knowledge domains and integrations with core planning and design tools such as Jira, Figma, application repositories and relevant data sources, preserving clear systems of record and end-to-end traceability.
• Controls and responsible AI — Build risk, control, privacy, security, auditability and human oversight requirements into product design, ensuring generated outputs are testable, explainable and appropriate for a regulated environment.
• Adoption and operating model — Establish the co-build, self-service and support model, including clear roles, decision rights, guardrails, onboarding and communities of practice that enable teams to use and extend the platform effectively.
• Value realisation — Set outcome measures and baselines for cycle time, quality, rework, adoption, user satisfaction, capacity released and financial benefit; maintain transparent attribution and prevent double counting across initiatives.
• Cross-functional leadership — Lead through influence across AI, product, engineering, architecture, design, data, risk, operations and business teams; surface trade-offs, resolve ambiguity and maintain momentum from discovery through scaled adoption.

Qualifications

Experience:

Essential

• Significant product leadership experience owning an enterprise platform, internal product or AI-enabled workflow proposition from strategy through scaled adoption.
• Deep understanding of the change frameworks, PDLC/SDLC, the work of product owners, business analysts, designers, architects, and transformation, delivery and governance teams.
• Demonstrated success simplifying complex workflows and converting user insight into product strategy, service design, roadmaps, measurable outcomes and sustained behavioural change.
• Experience shaping AI, agentic, workflow orchestration, knowledge management or low-code capabilities, with enough technical depth to make sound product trade-offs and work credibly with senior engineers and architects.
• Strong track record of platform-as-a-product leadership, balancing enterprise standards and reuse with the needs of different business contexts and user groups.

• Experience operating in a large, complex and regulated organisation, embedding controls and responsible AI requirements without losing focus on user experience and delivery speed.
• Commercial and analytical acumen, including portfolio rationalisation, vendor assessment, business cases, unit economics and rigorous value-realisation measurement.
• Proven ability to influence senior stakeholders and align multidisciplinary teams across geographies without relying solely on formal authority.

Strongly preferred

• Has launched or scaled AI-enabled products supporting requirements, planning, design, testing, controls or change delivery.
• Experience with enterprise systems and integration patterns spanning tools such as Jira, Figma, repositories, knowledge platforms and workflow tools.
• Experience establishing co-build or federated platform operating models, including governance for reusable components and locally configured workflows.
• Prior leadership across product management, service design, business architecture, process transformation or change execution.

Essential Capabilities

Cultivates Innovation: Creates new and better ways of working, combining process redesign, AI and reusable platform capabilities while avoiding automation of unnecessary complexity.

Strategic Mindset: Sees the end-to-end system, translates future possibilities into a coherent product strategy and sequences investment toward measurable outcomes rather than an accumulation of features.

Customer Focus: Builds a deep understanding of how delivery roles work, tests assumptions with users and makes simplicity, trust and a coherent experience central to product decisions.

Action Oriented: Moves from ambiguity to action with urgency and energy, converting priorities into testable delivery increments and maintaining momentum across dependencies.

Builds Effective Teams: Influence and create a strong multidisciplinary product culture, develops talent and establishes clear decision rights across product, design, engineering and business partners.

Drives Vision & Purpose: Communicates a compelling vision for AI-enabled product and change delivery, connecting platform choices to better colleague experiences and measurable business outcomes.

Being Resilient: Sustains momentum through uncertainty, organisational complexity and setbacks while maintaining sound judgement, constructive relationships and focus on outcomes.

Manages ambiguity and ensures accountability: Frames unclear problems, distinguishes enterprise-common needs from context-specific requirements, makes transparent decisions with incomplete information and holds self and others accountable for commitments, controls and value.

Persuasion & Conviction: Builds common ground across business, product and technology perspectives, uses compelling evidence to communicate trade-offs and addresses difficult issues directly to secure commitment without formal authority.

Opening up a world of opportunity
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