Associate Specialist, Data Sourcing & Solutions

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 XL's executive leadership team to maximize benefits and facilitate sustained enterprise advantage.

Our Innovation, Data, and Analytics Office (IDA) is focused on driving innovation by optimizing how we leverage data to drive strategy and create a new business model - disrupting the insurance market. As we develop an enterprise-wide data and digital strategy that moves us toward a greater focus on the use of data and data-driven insights, we are seeking an Associate Scientist for our Data Sourcing & Solutions team.

The role sits across the IDA Department to make sure customer requirements are properly captured and transformed into actionable data specifications. Success in the role will require a focus on proactive management of the sourcing and management of data from source through usage.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?

• Data Requirements Documentation & Assessment: Demonstrate proficiency in gathering, documenting, and analyzing business and functional data requirements, with the ability to evaluate the reusability of existing data assets within Axiom.
• Process Optimization & Data Sourcing: Design and implement streamlined processes to accelerate data sourcing, ensuring timely delivery of high-quality data to AXA XL stakeholders.
• Strategic Data Product Development & Management: Lead the development and operationalization of reusable data products within the Policy and Claim domains, managing data lifecycle from source to usage.
• Data Validation & Quality Assurance: Conduct thorough validation testing of data products in collaboration with business partners to ensure data accuracy, integrity, and alignment with specified requirements.
• Data Governance & Single Version of Truth: Assess and ensure data within the Data Ecosystem maintains consistency and a single authoritative source, supporting reliable decision-making.
• Ad-hoc Data Support & Responsiveness: Respond effectively to unplanned data requests, providing timely and accurate data to support business operations and initiatives.
• Customer-Centric Service Orientation: Prioritize stakeholder needs by fostering a customer-first mindset, ensuring data services meet or exceed expectations.
• Alignment with Organizational Goals: Internalize and implement company-wide objectives, such as IDA initiatives, to promote a data-driven culture within the organization.
• Standards & Best Practices Development: Contribute to establishing and maintaining best practices, standards, and documentation for capturing and translating business requirements into technical specifications.
• Data & Customer Insight: Develop a deep understanding of organizational data assets and customer needs to inform data management and product development.
• Root Cause Analysis & Issue Resolution: Lead investigations into data deficiencies within reusable assets, identifying root causes and recommending corrective actions.
• Data Quality Improvement & Solution Design: Identify and evaluate solutions to enhance the accuracy, consistency, and overall quality of data at its source, promoting best practices in data capture.

You will report to Scientist - Data Solutions Analyst.

What you will BRING

Were looking for someone who has these abilities and skills:

Required Skills and Abilities:

• Demonstrate robust Business & Insurance Acumen, understanding industry-specific processes, data, and difficulties.
• Manage stakeholder expectations and requirements effectively, ensuring alignment between business needs and data solutions.
• Apply digital literacy to leverage data tools, platforms, and industry insights for decision-making.
• Use a strategic mindset to connect business objectives with data initiatives, understanding long-term impacts and integration difficulties.
• Work with internal and external industry data holistically to generate comprehensive insights.
• Understand the broader enterprise data perspective, balancing project-specific data needs with organizational goals.
• Recommend innovations and process improvements that align with business strategies and enhance operational efficiency.
• Hold a minimum of a bachelors or masters degree in a relevant discipline (preferred).
• Experience in a data-related role such as business analyst, data analyst, or analytics, preferably within the insurance industry.
• Robust SQL knowledge and ability to query AXA XL data sources.
• Experience with tools such as SQL Server, Azure Databricks Notebook, QlikView, Power BI, Jira, and Confluence.
• Ability to work with unstructured data and extract actionable insights.
• Effective exploratory analysis skills and intellectual curiosity.
• Critical thinker with high analytical capability, connecting dots across data sets and business contexts.
• Organizational skills with high attention to detail.
• Passion for data and working within a data-driven organization.
• Ability to manage multiple data projects while considering enterprise-wide data strategies.

Desired Skills and Abilities:

• Excellent presentation, communication (oral & written), and relationship-building skills across all management levels and customer interactions.
• Influence, collaborate, and lead efforts within complex, dispersed teams with competing priorities, especially in insurance data, underwriting, claims, and operations.
• Work effectively with team members across different geographies and departments.
• Build trust and rapport within and across groups.
• Demonstrate resilience by working under pressure, managing multiple priorities, and meeting deadlines.
• Foster a growth mindset by applying innovative thinking and continuous improvement to policies, procedures, and resource deployment.