Senior Manager, Data Platform Engineering

Prudential is seeking a Senior Manager, Data Platform Engineering to lead the end-to-end delivery of the Data Lake platform, Enterprise Data Model, data ingestion, and curated data services.

The successful candidate will be responsible for:

Team Leadership

• Leading, coaching, and developing a team of data engineers, platform engineers, and contingent workers across onshore and offshore models.
• Providing day-to-day technical guidance, code/design reviews, and architectural direction to the team on various technologies including Azure Databricks, ADF, Cosmos DB, MongoDB, SQL, Python/Scala, Qlik Replicate, Fivetran, Enterprise Kafka, DataStage, and Informatica.
• Driving performance management, career development planning, and succession planning for the team.
• Building a high-performing culture of accountability, quality, and continuous learning.

Data Platform Engineering & Architecture Delivery

• Owning the roadmap, design, build, and operations of the Data Lake platform.
• Driving the data uplift programme and convergence/decommissioning initiatives.
• Leading the design of scalable, reusable ingestion patterns.
• Governing adoption of the group data model alignment.
• Championing engineering best practices.

Data Governance, Quality & Compliance Support

• Partnering with the Data Governance team to operationalise the Group Data Governance Operating Minimum Standards.
• Providing technical stewardship for business and technical data lineage.
• Acting as the technical approver/gatekeeper for data lake access provisioning.

Business Continuity, Risk & Operational Resilience

• Serving as the department's Business Continuity Coordinator.
• Ensuring DR readiness and IT DR test participation.
• Managing incidents, root cause analysis, and post-mortem reviews.

Vendor, Sourcing & Cost Management

• Leading RFP/RFI evaluations and technical scoring.
• Managing delivery partners and contingent workforce.
• Driving resource sourcing for specialised roles.

Documentation, Standards & Continuous Improvement

• Ensuring functional, technical, operational, and architecture documentation is maintained.
• Embedding security guidelines for confidential/PII/Restricted-Sensitive data.
• Identifying automation and optimisation opportunities.

Job Requirements:

• Bachelor's Degree (Master's preferred) in Information Technology, Computer Science, Data/Information Engineering, or related discipline.
• 10+ years of progressive experience in data engineering/data platform/data management roles, with at least 4 years in a people leadership capacity.
• Proven track record of delivering enterprise-scale data platforms in a regulated industry.

Technical Expertise:

• Deep hands-on expertise in Azure Data Stack.
• Strong programming proficiency in Python, Scala, and SQL.
• Solid understanding of data architecture, dimensional modelling, EDM, MDM.

Domain & Regulatory Knowledge:

• Strong understanding of the insurance business domain.
• Awareness of BNM, PDPA, and Group regulatory expectations.

Leadership & Soft Skills:

• Demonstrated ability to lead, mentor, and grow technical teams.
• Excellent stakeholder management and executive communication skills.