VP of Data Analytics & Enterprise Data Platform

Hong Kong Exchanges and Clearing Limited (HKEX)

Hong Kong

On-site

HKD 1,500,000 - 2,600,000

Full time

3 days ago

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Job summary

Hong Kong Exchanges and Clearing Limited (HKEX) is recruiting a Vice President, Data Analytics to lead the design, delivery, and adoption of governed analytics capabilities on the Enterprise Data Platform. You will translate firmwide priorities into a prioritized analytics roadmap and orchestrate multi-year delivery across Hong Kong and Shenzhen, driving data literacy and measurable business value.

The role combines strategy with hands-on delivery, partnering with DBP and data owners, while

Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Data Science or a related discipline.
12+ years of experience in data analytics, data platform delivery or technology leadership in a large enterprise.
Proven track record leading large-scale data or analytics programmes delivering measurable outcomes.
Strong understanding of modern enterprise data architectures, including cloud-based/hybrid platforms.

Responsibilities

Develop and execute the enterprise data analytics strategy and roadmap, aligning with business priorities across key divisions to deliver measurable business value.
Oversee end-to-end delivery of data analytics initiatives, from demand intake and prioritization through to deployment, adoption and continuous improvement.
Drive the design, build and evolution of scalable, secure and high-performing analytics capabilities on EDP.
Establish and promote best practices for data modelling, data visualization and analytics solution design to enable consistent, high-quality outputs across the organization.
Partner with DBP to translate strategic objectives into actionable analytics use cases, ensuring clear outcomes and success metrics.
Champion the adoption of advanced analytics, AI and emerging technologies to enhance insight generation, automation and decision-making capabilities.
Strengthen data governance, data quality and data security practices, ensuring compliance with internal policies and external regulatory requirements.
Drive the transition from fragmented or manual analytics practices to standardized, governed and scalable enterprise solutions.
Develop a high-performing data analytics team, fostering a culture of innovation, collaboration and continuous learning across locations.
Manage external vendors and partners to ensure effective delivery, cost efficiency and alignment with organizational standards and risk management frameworks.