Senior Data Analytics Manager - Financial Services
Our client, a leading financial market infrastructure and technology-driven organization, is seeking an experienced Senior Data Analytics Manager to join its growing data transformation team. This is a strategic opportunity for a technology professional with strong data platform and project delivery expertise to play a key role in advancing enterprise-wide data capabilities and governance initiatives.
Responsibilities
- Drive the successful delivery of large-scale data and analytics programmes from planning through implementation and production rollout.
- Partner with business stakeholders to gather, evaluate, and prioritize requirements aligned with strategic objectives and risk management considerations.
- Lead project governance activities, including timeline management, budgeting, resource planning, issue resolution, and risk tracking.
- Enhance enterprise data capabilities across areas such as data governance, metadata management, lineage, quality monitoring, access management, and analytics.
- Collaborate with data engineering and architecture teams to ensure scalable and sustainable technology solutions.
- Manage relationships with external vendors and implementation partners throughout project lifecycles.
- Promote adoption of cloud-native and open-source technologies to strengthen enterprise data management capabilities.
- Apply both Agile and traditional project delivery methodologies to support complex technology initiatives.
- Support the continuous evolution of enterprise data platforms and data management practices.
Requirements
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.
- At least 6 years of experience in data platforms, analytics, technology project delivery, or IT development, preferably within financial services, banking, capital markets, or other large-scale enterprise environments.
- Demonstrated track record of leading cross-functional teams and delivering complex technology programmes.
- Strong understanding of software development lifecycle (SDLC) principles, Agile delivery frameworks, and project governance practices.
- Hands-on knowledge of data architecture, data modelling, analytics platforms, and visualization technologies.
- Good understanding of enterprise data ecosystems and end-to-end technology architectures.
- Experience working with data science environments such as JupyterHub or similar analytical workbenches.
- Exposure to cloud platforms including AWS, Azure, Alibaba Cloud, or equivalent technologies.
- Knowledge of data governance, metadata management, security controls, and lineage solutions, including technologies such as LDAP, OAuth, Keycloak, or OpenMetadata.
- Familiarity with industry best practices around data quality, governance frameworks, and information management.
- Excellent stakeholder management, communication, and presentation skills.
- Professional certifications in Agile, Scrum, PMP, PRINCE2, cloud technologies, or data management would be advantageous.
"Sanderson-iKas" is the brand name for the following companies incorporated in Hong Kong: Sanderson Solutions International (Hong Kong) Limited (Business Registration no.53741924) and iKas International (Asia) Limited (Business Registration no.39818987)
Website: www.sanderson-ikas.hk