Responsibilities
- Lead end-to-end delivery of enterprise data pipeline migrations, data lakehouse implementations, and cloud data platform revamps across IT, business, and vendor teams.
- Coordinate cross-functional data engineers, architects, and business stakeholders, defining clear ownership and tracking milestones across the data pipeline lifecycle.
- Monitor project financials, resource allocation, and budget utilization to prevent cost overruns on cloud data infrastructure and vendor commitments.
- Maintain a proactive risk register to mitigate issues in data integration, schema evolution, ETL performance, and environment stability.
- Ensure data governance, security control standards, metadata management, and compliance adherence within enterprise regulated frameworks.
- Oversee cutover planning, data validation, operational handoff, and post-deployment stabilization to guarantee business-aligned metrics and zero data loss.
- 4+ years of IT project management experience leading complex data engineering, data pipeline revamps, or cloud data migration projects on PaaS/private cloud infrastructure.
- Strong background in financial services or banking sector projects is highly advantageous.
- Demonstrated experience with CI/CD implementation for data platforms, secure-by-design data controls, and DevOps integration.
- Hands-on experience directing medium-sized teams of data engineers, ETL developers, and infrastructure specialists.
- Excellent communication and stakeholder management skills across business units, data teams, and third-party vendors.
- Full professional fluency in English, Cantonese, and Mandarin.
- PMP, PRINCE2, Agile/Scrum certification, or equivalent project management qualification preferred.