Assistant Vice President, Data Analytics - Chief Data Office - IT

Hong Kong Exchanges and Clearing Limited; Hong Kong; On-site; HKD 900,000 - 1,300,000; Full time

Job summary

Hong Kong Exchanges and Clearing Limited is seeking an Assistant Vice President, Data Analytics within the Chief Data Office of IT to lead planning, coordination and delivery of data analytics projects, enabling the HKEX data strategy and Enterprise Data Platform.

The role requires a Bachelor’s degree in technology or engineering, 6+ years in data analytics or IT project delivery, hands-on data tech, and strong leadership.

Qualifications

• Bachelor’s degree in technology, engineering, or related discipline.
• 6+ years in data analytics, IT development, or project management.
• Strong technical and leadership capabilities for cross-functional teams.
• Experience with SDLC, Agile, and data governance.

Responsibilities

• Lead end-to-end delivery of data analytics projects from inception to deployment.
• Collaborate with stakeholders to deliver data platform capabilities by business value.
• Manage progress, risks, scope, schedule and cost with IT and business teams.
• Promote compliant data reuse across the enterprise platform.
• Coordinate with vendors and internal teams to support delivery.
• Drive cloud and open-source initiatives for data management and governance.
• Apply hybrid project management with Agile within SDLC.
• Coordinate with data engineering to ensure efficient tool usage.

Skills

Data analytics

Project management

Agile methodologies

Team leadership

Education

Bachelor’s degree in technology or engineering

Tools

JupyterHub

OpenMetadata

Job description

Job Summary

The Assistant Vice President, Data Analytics in the Chief Data Office (CDO) of Information Technology Divisions leads the planning, coordination and delivery of data analytics projects to incrementally enable the HKEX data strategy and vision, and build out our Enterprise Data Platform (EDP).

Key Responsibilities

• Lead project teams and manage end-to-end delivery of data analytics projects, from inception to deployment.
• Collaborate with business stakeholders to deliver data platform capabilities, prioritizing requirements based on business value and mitigation of data risks.
• Manage data initiatives by tracking progress and risks against scope, schedule, and cost, in coordination with business and technology teams.
• Promote compliant and high-quality data reuse on the enterprise platform by incrementally delivering functionalities across the data lifecycle, including data access control, data lineage, data quality, and data analytics.
• Coordinate with third‑party vendors and internal stakeholders to support implementation and delivery activities on the data platform.
• Drive the implementation with cloud and open‑source capabilities to enable data management and data governance.
• Apply hybrid project management approaches, leveraging agile tools within SDLC phases.
• Coordinate with the data engineering function to ensure efficient use of technical tools and internal resources.

Requirements

• Bachelor’s degree in technology, engineering, or a related discipline.
• Minimum 6 years of experience in data analytics, IT development or project management, preferably within large enterprises and the capital markets or financial services industry.
• Possess stronger technical capabilities and proven experience in team management and project delivery.
• Well‑versed in SDLC disciplines, with experience in Agile methodologies and leading cross‑functional teams.
• Solid technical background with hands‑on experience in software development and data‑related technologies, such as multi‑tier service‑oriented architecture, data modelling, and data visualization.
• Strong understanding of enterprise data architecture requirements and end‑to‑end technology stacks.
• Proficient in JupyterHub or equivalent data science workbenches.
• Familiarity with native cloud technologies (e.g., Huawei, Alibaba, AWS, Azure).
• Familiar with data security, data lineage and data management tools, such as LDAP, OAuth, Keycloak, and OpenMetadata.
• Familiar with data management, data governance, and data quality standards.
• Excellent communication, presentation and influencing skills.
• Agile, Scrum, PMP, PRINCE2, cloud, or data‑related certifications are advantageous.

Location and Work Details

Location: HKEX - Exchange Square, Shift: Standard, 40 Hours (Hong Kong SAR), Scheduled Weekly Hours: 40, Worker Type: Permanent.

HKEX is committed as an Equal Opportunity Employer. Diversity is one of our core values and we look to support, respect diverse perspectives, abilities, culture and experiences within our workplace.