Associate Manager Data Engineering (RR-0476342)

Job Description:

Key Accountabilities and Responsibilities:

Analysis & Discovery

• Conduct detailed data profiling and quality assessments on source systems to identify data issues, gaps, and transformation requirements.
• Elicit and document data migration business rules, field mappings, and transformation logic in collaboration with subject matter experts and business stakeholders.
• Produce and maintain migration specification artefacts including Data Mapping Documents, Source-to-Target Mapping (STTM) specifications, and Data Cleansing Rules.
• Analyse insurance policy, claims, customer, and financial data structures across legacy and target PAS platforms.
• Perform gap analysis between source and target systems, identifying data reconciliation and enrichment requirements.
• Define and document data migration acceptance criteria and sign-off processes in collaboration with business owners.

Technical Migration Execution

• Design, develop, and execute data migration scripts using SQL (T-SQL / PL-SQL) to extract, transform, and load data across relational database environments.
• Build and manage data migration pipelines using specialist ETL/data migration tooling such as Astera Centerprise, including the design of dataflows, transformations, and job orchestration.
• Implement and manage API-based data ingestion processes, working with REST/SOAP APIs to extract or load data from/to PAS platforms and third-party systems.
• Perform iterative migration runs (mock migrations) and resolve defects arising from migration validation and reconciliation checks.
• Develop and execute reconciliation and audit queries to validate migration completeness and accuracy against agreed tolerances.
• Support cutover planning and execute migration activities during live migration events, including out-of-hours delivery where required.

Quality & Governance

• Ensure data migrations adhere to data governance, data quality, and compliance standards, including GDPR requirements for personal data handling.
• Maintain detailed migration logs, issue trackers, and progress reporting for project stakeholders.
• Contribute to post-migration validation activities, supporting business users with data sign-off.
• Identify and escalate data quality risks proactively, proposing pragmatic remediation solutions.

Essential Skills/Qualifications:

• Proven experience in a data migration analyst or data analyst role, ideally within the insurance or life & pensions sector.
• Strong working knowledge of insurance Policy Administration Systems (PAS), including policy lifecycle data structures (quotes, policies, endorsements, renewals, claims).
• Proficient in SQL for data extraction, transformation, profiling, and reconciliation across relational databases (SQL Server, Oracle, or equivalent).
• Hands-on experience with ETL / data migration tooling — experience with Astera Centerprise is highly desirable; equivalent tools (Informatica, Talend, SSIS) considered.
• Experience designing and consuming REST or SOAP APIs for data ingestion or extraction purposes.
• Demonstrable ability to produce high-quality data mapping and migration specification documentation.
• Strong analytical and problem-solving skills with a methodical, detail-oriented approach.

Desirable Skills/Qualifications:

• Experience working on PAS migration or transformation programmes targeting modern cloud-based platforms; direct experience with DXC Assure Commercial & Specialty or DXC Assure Broking is highly advantageous, as is prior exposure to other leading platforms such as Guidewire, Majesco, SSP, or Acturis.
• London Market and/or Global Specialty insurance experience is highly desirable, including familiarity with Lloyd's and Company market operating models, placing processes, and the associated data structures (risk, premium, claims, bordereaux, bureau submissions).
• Knowledge of PAS platforms commonly used across the London and Specialty market, such as Whitespace, PPL, DCOM, IMR, Xuber (Xchanging), or similar.
• Familiarity with insurance data models spanning the full placing chain — including Carriers, MGAs, and Brokers — and an understanding of how data structures, ownership, and obligations differ across each participant.
• Exposure to cloud data platforms (Azure, AWS) and cloud-based migration patterns.
• Understanding of Agile and/or waterfall project delivery methodologies.
• Experience with data quality tools or profiling frameworks.

Personal Attributes

• Able to work independently and take ownership of migration workstreams with minimal supervision.
• Strong communicator — able to translate complex technical data concepts for non-technical business stakeholders.
• Comfortable working in fast-paced project environments with competing priorities and firm deadlines.
• Collaborative team player who builds effective relationships across business and technical teams.
• High attention to detail and a commitment to data accuracy and integrity

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