Assistant Specialist, Master Data Management

AXA XL offers risk transfer and risk management solutions to clients globally. We offer worldwide capacity, flexible underwriting solutions, a wide variety of client-focused loss prevention services and a team-based account management approach. AXA XL recognizes data and information as critical business assets, both in terms of managing risk and enabling new business opportunities.

This data should not only be high quality, but also actionable enabling AXA XLs executive leadership team to maximize benefits and facilitate sustained dynamic advantage. This role is a part of the Party Data management team, whichs responsible to support Party Creations, Party Verifications, Name Clearance, Remediation and Party Data Quality. The process comprises of three different wings which are segregated into Insurance Party Operations, Reinsurance Party Operations and Continuous Improvement Team.

While being part of the remediation team, in this role, you will additionally focus on supporting Production Management efforts. At AXA XL, we view individuals holistically through their People, Business, and Technical Skills. Were interested in what you bring, how you think, and your potential for growth. We value diverse perspectives, recognizing that each person contributes uniquely to our team's success. We welcome candidates with relevant education and experience in a related field, as well as those with diverse educational backgrounds or equivalent experience.

What youll be DOING

What will your essential responsibilities include?

• Adherence to Service Level Agreements (SLAs): Demonstrate effective time management and organizational skills to consistently meet productivity targets, turnaround times, and accuracy standards.
• Data Requirement Analysis & Interpretation: Apply analytical skills to interpret detailed data requirements accurately, ensuring proper data maintenance, integrity, and compliance with quality standards.
• Data Quality Monitoring & Reporting: Conduct regular audits, data integrity checks, and validation activities, reporting findings to uphold and improve data quality standards.
• Root Cause Analysis & Issue Resolution: Utilize problem-solving capabilities to identify root causes of data errors, especially in critical data sources, and develop targeted resolution strategies.
• Error Pattern Analysis & Prevention: Track and document recurring error patterns, applying continuous improvement techniques to prevent future data issues.
• Process Review & Optimization: Review and refine data entry workflows and procedures to enhance data quality, consistency, and timeliness, leveraging process improvement methodologies.
• Data Analysis & Solution Implementation: Use data analysis tools to identify gaps, recommend process enhancements, and implement integrated solutions that address and eliminate recurring data issues.
• Cross-Functional Collaboration: Work closely with Operations and other teams to identify data risks at their origin and collaborate on effective remediation strategies.
• Data Governance & Standards Compliance: Ensure data maintained across enterprise systems adheres to established standards of accuracy, completeness, and consistency through regular reviews and reconciliations.
• Participation in Data Projects: Lead or contribute to cross-functional initiatives such as data standardization, system upgrades, or automation projects to improve overall data management capabilities.
• Continuous Improvement & Data Asset Promotion: Identify opportunities to enhance data quality and support initiatives related to Data Governance, Data Quality, and Master Data Management, promoting data as a strategic asset.
• Risk Management & Remediation Recommendations: Collaborate with Operations teams to identify sources of data risks and recommend effective measures for remediation.

You will report to Manager I, Data Transparency.

What you will BRING

Were looking for someone who has these abilities and skills:

Required Skills and Abilities:

• Business & Insurance Acumen: Possesses a solid understanding of insurance industry processes, terminology, and regulatory requirements to interpret data within a business context.
• Digital Literacy: Proficient in utilizing data analysis tools, automation, and digital platforms to enhance productivity and decision-making.
• Stakeholder Management: Demonstrates the ability to effectively engage, communicate, and manage relationships with internal and external stakeholders to support data-driven initiatives.
• Educational Qualification: University Graduate/Postgraduate with relevant years of experience in Data Analytics.
• Team Leadership: Relevant experience of team handling, demonstrating leadership and mentorship abilities.
• Industry Knowledge: Solid understanding of the insurance industry, including core processes, terminology, and regulatory requirements.
• Data Analysis & Insights: Proven experience in analyzing data, interpreting results, and generating actionable insights that support business objectives.
• Client Service Orientation: Demonstrates a client service attitude and experience, ensuring stakeholder needs are met effectively.
• Collaborative Working: Ability to work collaboratively across teams and functions, fostering teamwork and proactive problem-solving.
• Data Extraction & Analysis Tools: Proficiency in SQL for data extraction, querying, and analysis.
• Advanced Excel Skills: Robust expertise in MS Excel, including data manipulation, modeling, and automation.
• Handling Large Datasets: Ability to work with large datasets efficiently, leveraging automation tools to improve productivity.
• Problem-Solving & Root Cause Analysis: Excellent problem-solving skills with a robust aptitude for root cause analysis and resolving complex data issues.

Desired Skills and Abilities:

• Customer Centricity: Demonstrates a client service attitude and actively seeks to meet or exceed stakeholder expectations.
• Cross-Functional Collaboration: Effectively works across teams and departments to achieve shared goals, fostering teamwork and open communication.
• Analytical & Strategic Mindset: Applies critical thinking to interpret data, identify insights, and develop strategic solutions that support business objectives.
• Performance Excellence: Maintains high standards of work quality, accuracy, and efficiency, continuously seeking improvement.
• Growth Mindset: Proactively identifies opportunities for process improvement, automation, and skill development, embracing change and learning.
• Resilience: Manages difficulties, adapts to change, and maintains performance under pressure, demonstrating persistence and emotional strength.