# Senior Manager, Data Platform Engineering at Prudential plc

Prudential plc is hiring a Senior Manager, Data Platform Engineering in Kuala Lumpur, Malaysia. Level rates it Little AI ●○○○; you can [apply on Prudential plc](https://jobsbylevel.com/go/55cdc215-edf6-4eb3-9cf3-8522f20a0cd0?utm_medium=ai-agent).

AI Level 1, AI centrality 33 out of 100. Kuala Lumpur.

## Details

- Company: [Prudential plc](https://jobsbylevel.com/companies/prudential-plc)
- AI level: AI Level 1 (score 33 out of 100)
- Location: Kuala Lumpur
- Posted: July 28, 2026
- Apply: https://jobsbylevel.com/go/55cdc215-edf6-4eb3-9cf3-8522f20a0cd0?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-manager-data-platform-engineering-at-prudential-plc-0cef1c

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## Description

Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed. Senior technical and people leader responsible for driving the end-to-end delivery of the Data Lake platform, Enterprise Data Model, data ingestion, and curated data services that power data & analytics, AI, regulatory, and business reporting needs. The role leads a multi-disciplinary team of data engineers and contingent specialists, while partnering closely with Data Governance, Enterprise Architecture, AI Engineering, Business Units, Group Technology, and external vendors to deliver trusted, governed, and scalable data assets. Key Responsibilities : 1. Team Leadership Lead, coach, and develop a team of data engineers, platform engineers, and contingent workers across onshore and offshore models, including direct line management of permanent staff and contractors. Provide day-to-day technical guidance, code/design reviews, and architectural direction to the team on Azure Databricks, ADF, Cosmos DB, MongoDB, SQL, Python/Scala, Qlik Replicate, Fivetran, Enterprise Kafka, DataStage, Informatica and ingestion frameworks. Drive performance management, career development planning, and succession planning for the team. Build a high-performing culture of accountability, quality, and continuous learning; identify upskilling/cross-training needs and nominate talent for recognition. Support hiring, interviewing, and onboarding of new team members and vendor resources. 2. Data Platform Engineering & Architecture Delivery Own the roadmap, design, build, and operations of the Data Lake platform, including raw, structured, EDM, and curated/serving layers on Azure Databricks and Azure Data Stack. Drive the data uplift programme and convergence/decommissioning initiatives (e.g., convergence, legacy data store remediation). Lead the design of scalable, reusable ingestion patterns (batch and near real-time) from core systems such as policy admin system, claims, marketing, and partner systems. Govern adoption of the group data model alignment (including SCD2 patterns, incremental processing, timestamp metadata) in line with Group/Regional standards. Champion engineering best practices: CI/CD, modular pipeline design, parameterised/config-driven frameworks, monitoring, and observability. 3. Data Governance, Quality & Compliance Support Partner with the Data Governance team to operationalise the Group Data Governance Operating Minimum Standards (data dictionary, CDE prioritisation, data quality, lineage, master data, data extraction). Provide technical stewardship for business and technical data lineage and support development/implementation of Data Quality rules and remediation. Act as the technical approver/gatekeeper for data lake access provisioning, PII access, schema-level entitlements, and data sharing (internal and external/RFP/vendor scenarios). Support responses to regulators (e.g., Bank Negara Malaysia / BNM) on data governance, manual submissions to core systems, PIA, and legacy remediation plans. 4. Business Continuity, Risk & Operational Resilience Serve as the department's Business Continuity Coordinator (BCC) for Data Management, owning the BCP, call tree, alternate-site/WFH arrangements, and annual BCP exercises. Ensure DR readiness, IT DR test participation, and recovery procedures for critical data platforms and pipelines. Manage incidents, root cause analysis, and post-mortem reviews for data platform and pipeline disruptions. 6. Vendor, Sourcing & Cost Management Lead RFP/RFI evaluations, technical scoring, vendor workshops, and engagement decisions for data-related

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