Senior Data Analytics Manager - Financial Services

Ikas International (Asia) Limited; Hong Kong; On-site; HKD 900,000 - 1,500,000; Full time

Job summary

Ikas International (Asia) Limited is seeking a Senior Data Analytics Manager to lead enterprise data transformation, governance, and analytics initiatives in a financial services environment. You will drive large-scale programs from planning to production, collaborating with business units, data engineering, and governance teams.

The role requires proven leadership of cross-functional teams, strong SDLC and Agile experience, and expertise in data architecture, modelling, and visualization.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.
• 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 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.

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.

Skills

Data platforms

Analytics platforms

Agile delivery

Project governance

SDLC

Cloud platforms

Data governance

Data architecture

Data modelling

Visualization tools

Stakeholder management

Education

Bachelor's degree in Computer Science/IT/Engineering

Tools

JupyterHub

OpenMetadata

LDAP

OAuth

Keycloak

Job description

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.

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Your application will include the following questions:

• Which of the following statements best describes your right to work in Hong Kong?
• What's your expected monthly basic salary?
• How many years' experience do you have as a Financial Services Manager?

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