Sr Associate Director Data and Analytics

GCB 4

Sr Associate Director Data & Analytics Data Delivery Lead / Business Architect (B4 IC)

Organisation:Data Tech Asia & Middle Data Tech Hong Kong
Location:Hong Kong (hybrid)

Role purpose

This B4 individual contributor role is accountable for (1) end-to-end delivery of a portfolio ofdata productsfor Hong Kong (2) acting as abusiness architecture interfaceto HK stakeholders to support business growth and (3) drivingsimplification and AI adoption using dataacrossAsia & Middle East (AME)markets. The role translates strategy into a prioritised roadmap and drives execution through strong governance cross-team coordination and a disciplined risk-and-control mindset.

Key responsibilities

1) Business architecture & stakeholder partnership (HK growth enablement)

• Partner with HK business stakeholders to understand growth priorities and decisioning needs; translate these into data product capabilities and measurable outcomes.
• Shape problem statements target-state capabilities value streams and operating impacts (process MI controls).
• Lead demand intake and discovery: clarify requirements success metrics benefits and dependencies; support prioritisation and sequencing.
• Maintain traceability from business objectives data capabilities backlog delivered outcomes.

2) Data product delivery leadership (portfolio execution)

• Own delivery for multiple data products (e.g. ingestion pipelines curated datasets data marts MI/BI enablement): scope plan milestones dependencies and release cadence.
• Run delivery governance: RAID change control decision logs and senior stakeholder reporting; escalate early with options and recommendations.
• Coordinate delivery across engineering platform/DevOps architecture testing cyber service management and production support to deliver stable supportable releases.
• Drive delivery discipline: definition of ready/done sprint/release planning environment readiness test strategy alignment cutover planning runbooks and BAU handover.

3) AME simplification & AI adoption (data-enabled transformation)

• Identify and drivesimplification opportunitiesacross AME markets by standardising data products reducing duplication and promoting reusable patterns (common data models shared pipelines repeatable controls).
• Partner with AME stakeholders to prioritise and deliverAI-enabled use casesthat leverage trusted data products (e.g. decision support automation insight generation) ensuring clear value measures and adoption plans.
• Establish practical governance for AI/data initiatives: intake value tracking model/data readiness and alignment to risk privacy and security requirements.
• Promote best practices and enablement across markets (playbooks templates communities of practice) to accelerate delivery and consistent adoption.

Key stakeholders

• Data Tech Asia & Middle leadership; Data Tech Hong Kong Product Owners Tech Leads Engineers Architecture Platform/DevOps
• AME market technology and business stakeholders consuming data products and AI capabilities
• Data Management / governance partners Cyber Security Risk & Compliance
• Service Management / Production Support

Essential skills and experience

• Strong track record deliveringdata products(ETL/ELT curated datasets marts MI/BI enablement) in a regulated environment.
• Demonstrable capability inbusiness analysis / business architecture: translating strategy into capabilities roadmaps requirements and measurable outcomes.
• Strong delivery management acrossAgile/hybridmodels with robust dependency management and senior-level reporting.
• Solid understanding of data engineering concepts (orchestration modelling APIs batch/streaming testing observability).
• Experience supportingsimplification/standardisationacross multiple markets or business units.
• Working knowledge ofAI/analytics delivery lifecycle(use-case framing data readiness experimentation to production adoption) with strong control mindset.
• Excellent stakeholder management; able to influence without authority across geographies.

Preferred

• Exposure to cloud/modern data platforms and AI tooling (e.g. Azure/AWS/GCP; Databricks/Snowflake; MLOps concepts).
• Familiarity with tooling: Jira/Confluence ServiceNow MS Project; SQL; Power BI/Tableau.
• Understanding of data governance practices (metadata lineage DQ frameworks access management).

Qualifications

• Bachelors degree (or equivalent experience) in a relevant discipline.
• Delivery certification preferred (PMP/PRINCE2/Scrum/SAFe).

Success measures (examples)

• Increased reuse and reduced duplication of data products across AME (fewer bespoke builds faster delivery through standard patterns).
• Delivery of priority HK data products that enable growth outcomes (adoption MI availability improved decisioning).
• AI use cases delivered with measurable value and adoption with appropriate controls and operational readiness.
• Improved delivery predictability reduced incidents/defects and strong audit/control outcomes.

Opening up a world of opportunity

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Issued by The Hongkong and Shanghai Banking Corporation Limited.

Experience:

Director