Product Director - Workplace AI

HSBC; Hong Kong; On-site; HKD 1,800,000 - 3,200,000; Full time

Job summary

HSBC Holdings plc is seeking a Product Director for Workplace AI to own strategy, roadmap and outcomes for AI capabilities in productivity tools used by colleagues. The role spans Microsoft Copilot, Zoom AI and other workplace AI tooling, with responsibility for vendor interaction, governance and measurable business impact.

Reporting to the Group Head of Product, you will shape an enterprise AI proposition, drive adoption, and lead cross‑functional teams across product, engineering, security,

Qualifications

• Significant product leadership experience owning an enterprise employee platform, productivity product or AI-enabled workplace proposition from strategy through scaled adoption.
• Deep understanding of knowledge-worker needs and productivity/ecosystem including Microsoft 365, meetings and enterprise search.

Responsibilities

• Define the vision and sequenced roadmap for Workplace AI across an evolving portfolio of tools.
• Identify high-value workflows and translate them into end-to-end journeys and priorities.
• Redesign ways of working around AI; prove value in specific contexts and scale repeatable use-case patterns.

Skills

Enterprise product leadership

AI-enabled workplace

Vendor management

Cross-functional collaboration

Strategy & roadmap

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 - Workplace AI.

Role purpose:

The Product Director, Workplace AI will own the strategy, product roadmap and business outcomes for AI capabilities embedded in the productivity and collaboration tools colleagues use every day. The initial portfolio includes Microsoft Copilot and Zoom AI, alongside the exploration and adoption of other workplace AI tooling as colleague needs and the market evolve. The role will define the capabilities and experiences colleagues need, rather than manage individual vendor products as isolated deployments.

Reporting to the Group Head of Product, Enterprise AI Tooling & Digital Experience, the role will establish a trusted, connected workplace AI proposition that helps colleagues create, communicate, analyse, collaborate and follow through more effectively in the flow of work. It will bring together colleague needs, productivity and collaboration capabilities, enterprise knowledge, meeting intelligence, agents, integrations and enablement into a coherent experience, with clear guidance on which capabilities to use and when.

Broad access and adoption are necessary but will not, on their own, deliver meaningful value. The role will identify, prove and scale high-value AI use cases within specific colleague workflows, teams and business contexts. Working with businesses and functions, it will redesign ways of working around AI capabilities, establish repeatable patterns and demonstrate measurable outcomes beyond platform usage alone.

Working across Group AI, Technology, business and market teams, the Product Director will shape vendor roadmaps, prioritise enterprise integrations and remove barriers to adoption while ensuring robust privacy, security, records, responsible AI and human-accountability controls. The role will own the financial results of the Workplace AI portfolio within the enterprise tooling financial framework, including evaluating the vendor economics and productivity value, with transparent baselines and attribution.

Principal Accountabilities:

• Product strategy and roadmap —Define the vision, target colleague experience and sequenced roadmap for Workplace AI across an evolving portfolio of productivity, collaboration and workplace AI tooling. Assess existing and emerging capabilities—including Microsoft Copilot and Zoom AI—and prioritise where they can add the greatest colleague and enterprise value.
• Workplace experience and use cases — Identify the highest-value needs across communication, content creation, analysis, meetings, knowledge work and follow-through; translate them into simple end-to-end journeys and clear product priorities.
• Role-based value creation and workflow transformation — Identify priority workflows, personas, teams and business outcomes across functions, businesses and markets. Partner with stakeholders to redesign ways of working around AI, prove value in specific contexts and scale repeatable use‑case patterns across similar colleague populations.
• Connected AI ecosystem —Define how Workplace AI capabilities interact with other enterprise and role-based tools, including shared context, meeting intelligence, knowledge, agents and hand‑offs, reducing fragmentation and unnecessary context switching.
• Product and vendor management — Maintain a transparent view of vendor roadmaps and internal requirements; influence Microsoft, Zoom and other partners, assess emerging capabilities and make disciplined adopt, pilot, integrate, defer or retire decisions.
• Adoption, enablement and AI fluency —Own the product-led adoption strategy across access, activation, engagement, retention and value. Prioritise role-based and workflow‑specific adoption over generic enablement, focusing investment on use cases and colleague segments with the greatest potential for measurable productivity and business impact. Define and drive the communications, training, champion and community strategy required to build colleague AI fluency, change behaviours and embed effective everyday use at scale.
• Colleague insight, measurement and value realisation — Establish voice‑of‑colleague feedback loops and outcome‑based measurement. Define and track value against specific use cases, workflows and user segments, distinguishing broad platform adoption from realised business impact. Use evidence to improve, scale or retire interventions.
• Controls and responsible AI —Embed privacy, security, data handling, records management, model risk, human review, accessibility and responsible AI requirements into product design and operating decisions across markets.
• Global scale and operating model —Partner with platform, service, market and business teams to establish clear roles, decision rights, rollout readiness, support and ongoing product governance that enable safe, consistent adoption at enterprise scale.
• Cross‑functional leadership —Lead through influence across product, engineering, end‑user services, security, data, risk, legal, records, communications, learning and business teams; surface trade‑offs and maintain accountability for outcomes.

Qualifications

Experience:

Essential

• Significant product leadership experience owning an enterprise employee platform, productivity product or AI‑enabled workplace proposition from strategy through scaled adoption.
• Deep understanding of knowledge‑worker needs and the productivity and collaboration ecosystem, including Microsoft 365, meetings, communications, enterprise search, knowledge, workflow and emerging AI agents.
• Demonstrated success identifying, validating and scaling high‑value AI or digital use cases within specific business functions, teams or user segments, with measurable productivity, quality or commercial outcomes.
• Demonstrated success improving colleague experience and changing workplace behaviours at scale through user research, product design, adoption interventions, training and measurement.
• Experience translating broad vendor platforms and rapidly evolving AI capabilities into a differentiated enterprise proposition, roadmap and prioritised set of use cases.
• Strong track record working across product, engineering, end‑user services, security, risk, legal, records management and business teams in a large, complex and regulated organisation.
• Experience managing global rollouts and market readiness, balancing enterprise consistency with local regulatory, data and operating requirements.
• Commercial and analytical acumen, including licensing, vendor management, investment cases, portfolio economics, productivity measurement and rigorous benefits realisation.
• Proven ability to influence senior stakeholders and external partners, resolve ambiguity and align multidisciplinary teams across geographies without relying solely on formal authority.

Strongly preferred

• Has launched or scaled comparable workplace AI capabilities across a large enterprise.
• Experience with Microsoft products, enterprise connectors, meeting intelligence, collaboration platforms or agent ecosystems.
• Experience establishing AI adoption, champion, learning or community programmes across large colleague populations.
• Experience shaping controls for workplace AI, including data access, retention, recording, human review and cross‑border deployment.

Essential Capabilities

Strategic Mindset and Innovation: Defines an outcome‑led workplace AI strategy,anticipateshow colleague work will evolve andsequencesinvestment toward high-value use cases and a coherent experience.

Customer Focus:Builds a deep understanding of colleague needs,workflowsandbehaviours; tests assumptions with users and makes simplicity,trust,accessibilityand usefulness central to product decisions.

Action Oriented and Accountable:Converts priorities into measurable delivery,maintainsmomentum across vendor and internaldependenciesand holds teams accountable for adoption,controlsandrealisedvalue.

Manages Complexity and Ambiguity:Frames unclear problems, navigates fast-moving technologies and makes transparent decisions across competing user, commercial,architecturaland regulatory considerations.

Collaborates and Persuades:Aligns business, technology, control and vendor stakeholders, communicates trade‑offs withevidenceand secures commitment without formal authority.

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.