Data Change Management

Job Description

GCB 4 We are currently seeking a high calibre professional to join our team as a Data Change Management. In This Role You Will • Deliver the Hong Kong Data & AI product portfolio: • Own and manage delivery of the Hong Kong Data & AI portfolio, ensuring prioritisation, sequencing, and resourcing maximise value and throughput • Lead end-to-end delivery of Data & AI products and value streams, including data pipelines, platform integrations, analytics development, and AI use cases from ideation to production and adoption • Track delivery health and outcomes through clear portfolio reporting and dashboards (delivery, benefits, risk, dependencies, and capacity) • Drive value realisation: define success measures, ensure adoption, and evidence benefits delivered across the portfolio • Strategic thinking and AI operating model innovation • Apply a strategic mindset to translate business priorities into a coherent Data & AI delivery roadmap for Hong Kong • Design and evolve an innovative AI operating model (ways of working, governance, controls, and delivery patterns) that enables safe, scalable AI delivery at pace • Balance global portfolio standards with Hong Kong-specific requirements, constraints, and opportunities. • Demand, prioritisation, and stakeholder alignment • Support demand management by evaluating new initiatives, shaping proposals, and recommending trade-offs to optimise portfolio outcomes • Partner with senior stakeholders to resolve conflicts, manage dependencies, and ensure efficient execution across teams • Provide clear, compelling updates and decision papers to drive timely decisions and maintain momentum • Risk management and responsible delivery • Balance execution at pace with protecting the Customer and the Bank, ensuring delivery decisions consider risk, controls, and stakeholder impacts • Operate effectively through ambiguity, holding self and others accountable to meet commitments and manage delivery risks proactively • Embed a “Data First” culture • Champion Data First principles across Hong Kong delivery: treat data as a strategic asset, prioritise data quality and reuse, and promote consistent standards and transparency • Encourage teams to build with reuse, lineage, and measurable outcomes in mind—so Data & AI products are trusted, scalable, and sustainable Show More