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Data Analytics Solutions Manager

1 month ago

Hong Kong, Central and Western District, Hong Kong SAR China Hong Kong Exchanges and Clearing Limited Full time
Job Title: Data Analytics Solutions Manager

Company Overview:

At HKEX, we are committed to being a purpose-driven company, dedicated to the long-term development of our business and our markets. Our purpose is to connect, promote, and progress our markets and the communities they support for the prosperity of all.

Job Summary:

We are seeking a highly skilled Data Analytics Solutions Manager to lead the planning, execution, and delivery of data engineering projects to incrementally build out our enterprise data platform. The successful candidate will have a strong technical background in data technologies and excellent project management skills to ensure projects are completed on time and within budget, meeting high-quality standards.

Key Responsibilities:

* Lead cross-functional teams and manage end-to-end responsibilities of data engineering projects, from inception to deployment
* Collaborate with business stakeholders to deliver data platform capabilities, prioritizing requirements based on business benefits and protection against data risks
* Project manage data initiatives, tracking progress and risks against scope, schedule, and costs, in coordination with business and tech units
* Promote compliant and quality reuse of data on the enterprise platform, through incremental delivering functionalities in data lifecycle, including data access control, data lineage, data quality, data analytics, etc.
* Manage third-party data products and vendors for deployment on the data platform
* Implement cloud and open-source capabilities to enable data management and data governance
* Effectively use hybrid project management techniques, applying agile tools within SDLC phases
* Coordinate with data engineering function in their efficient use of technical tools, internal resources, and skills, optimizing technical synergies and efficiency across initiatives

Requirements:

* Bachelor's degree in technology, engineering, or related disciplines
* 10 or more years of working experience in IT development or project management, preferably having a good track record in large enterprises
* Well-versed with SDLC project disciplines, experience with Agile methodologies, and leading cross-functional teams
* Solid technical background with hands-on experience in software development and data-related technologies, such as multi-tiered service-oriented architecture, data modeling, and data virtualization
* Good coverage and understanding of enterprise data architecture requirements and end-to-end technology stack
* Experience in JupyterHub or equivalent data scientist workbench and deployment of multi-tenant architecture
* Familiar with native cloud technologies, e.g., AWS EKS, EFS
* Experience in data security and data management tools, e.g., LDAP, OAuth, Keycloak, AWS Lake Formation, AWS Data Catalog, OpenMetadata
* Familiarity with data management, data governance, and data quality standards
* Excellent communication and influencing skills
* PMP, PRINCE2, or Agile certification is an advantage