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AXA

Global insurer offering life, property, casualty

Data Quality Manager

Data ManagementPosted on Nov 11
Full-timeGurugram, Haryana, IndiaNo salary listedIn-person

About the Job

Requirements

  • Background combining actuarial and data engineering, including data governance and data quality disciplines.
  • Good understanding of insurance risk, Solvency II, and quantitative calculation processes.
  • Hands-on experience with Collibra or a comparable enterprise data governance platform.
  • Robust Power BI capability, including data modelling and Power Query.
  • Working knowledge of SQL and Python, or equivalent coding tools, for data extraction, transformation, reconciliation, and automation.
  • Ability to understand complex transformations and translate them into testable controls.
  • Experience coordinating multi-entity control, reporting, or data quality processes.
  • Robust analytical, documentation, challenge, and stakeholder-management skills.
  • Ability to discuss Internal Model calculations with actuaries, challenge critical transformations with IT teams, maintain end-to-end Collibra lineage, interrogate and reconcile data using code, and deliver reliable Power BI dashboards for Group management.
  • A university degree in actuarial science, mathematics, statistics, computer science, data engineering, finance, risk management, or a related quantitative field.
  • Professional English is required.

Responsibilities

  • Manage and maintain end-to-end data lineage for the Solvency II Internal Model in Collibra.
  • Support entities in documenting their data lineage.
  • Ensure lineage remains complete, accurate, and current when systems, processes, or calculation methodologies change.
  • Perform and manage Collibra extracts for control campaigns, analysis, and Power BI reporting.
  • Challenge whether documented lineage reflects the actual actuarial and technical process, rather than only administrative completeness.
  • Maintain the Data Quality Framework at Group and entity levels.
  • Assess which transformations are material or critical from a Solvency II and data quality perspective.
  • Ensure critical transformations have appropriate controls to detect data loss, leakage, duplication, incorrect mapping, or unintended alteration.
  • Design, perform, or automate pre- and post-transformation reconciliations, including population, value, mapping, and exception checks.
  • Apply actuarial and technical judgement to distinguish expected differences from genuine data quality issues.
  • Coordinate the half-year/Q2 and year-end/Q4 STEC data quality control campaigns.
  • Extract applicable controls from the Collibra lineage.
  • Collect results and request action plans for failed controls.
  • Consolidate Group results and identify failed, missing, or overdue controls.
  • Challenge entities on anomalies and escalate material weaknesses through the appropriate governance.
  • Develop and maintain Power BI dashboards based on Collibra extracts and entity control submissions.
  • Build repeatable data preparation processes using Power Query, SQL, Python, or equivalent tools.
  • Manipulate, join, map, aggregate, and reconcile complex datasets from Collibra and entity submissions.
  • Use coding and computational techniques to automate repetitive controls, campaign preparation, exception analysis, and reporting.
  • Understand the end-to-end process sufficiently to ensure calculations and automated checks remain meaningful from an actuarial and business perspective.
  • Ensure material control failures are investigated and supported by root-cause analysis.
  • Agree action plans, accountable owners, and target completion dates with entities.
  • Monitor open and overdue actions centrally and escalate significant delays or repeat failures.
  • Assess whether completed actions are effective and have sustainably addressed the underlying risk.
  • Use subsequent control campaigns and targeted testing to identify recurring issues.
  • Act as the Group point of contact for the Internal Model data quality framework.
  • Work across actuarial, risk, IT, data governance, control, and entity teams.
  • Animate the Data Quality community.
  • Escalate campaign results to top management.

Desired Qualifications

  • Internal Model or STEC experience is preferred.
  • Relevant actuarial, data governance, data management, Power BI, or technology certification is advantageous.
  • Additional languages are an advantage in a multi-entity Group environment.

About the Company

AXA

Global insurer offering life, property, casualty

AXA is a global insurer and asset manager that provides life, health, and property and casualty insurance, as well as related financial services. Its products work by customers paying insurance premiums in exchange for coverage against risks; AXA pools risk across many policyholders, prices premiums based on risk, and pays claims when events occur, while also offering investment and retirement products through its asset management arm. The company has grown through large acquisitions, giving it a wide geographic footprint and a diverse mix of personal, commercial, and specialty insurance offerings. This scale and breadth set AXA apart from many competitors, alongside a long history of strategic mergers that expanded its reach to customers around the world. AXA’s goal is to be a leading global insurer and asset manager, delivering financial protection and long-term value to customers and stakeholders.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1816

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