About The Position

EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com [http://www.exlservice.com/]. EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers. EXL is the indispensable partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare, retail and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry expertise to help our clients turn data into insights, streamline operations, improve customer experience, and transform their business. Our partnerships with clients are built on a foundation of collaboration – and we’ve been chosen as a partner by nine of the top ten leading US insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers. We function as one team to make your goals our goals, whether that’s unlocking the value of generative AI or embedding analytics into workflows that reduce risk or power your growth. Clients choose EXL as their transformation partner for many reasons. Our geographic diversity make talent all over the world instantly accessible. Digital accelerators enable unmatched speed-to-value, letting you realize results fast. It’s our people that truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI practice. And our more than twenty years of experience in delivering business services, garnering stellar client references, and maintaining a solid balance sheet are reassuring to our C-suite clients. Find out for yourself why clients, employees, and analysts think we’re some of the best in the business. Contact us to see how we can help you achieve your goals.

Responsibilities

  • end-to-end design, configuration, and deployment of the Profisee MDM platform, including entity modeling, stewardship workflows, matching/merging rules, and survivorship logic.
  • build master data domains including Policy, Customer/Party, Agent, Vendor, Location, and Product reference data tailored to P&C insurance business needs.
  • Configure Profisee's Hub, Spoke, and Registry styles of MDM as appropriate for each data domain.
  • Develop and maintain data quality rules, validation logic, and survivorship hierarchies within Profisee.
  • Integrate Profisee with upstream and downstream systems including Microsoft Fabric, Databricks, Azure Data Lake (OneLake), Snowflake, policy administration systems, and claims management systems.
  • Partner with Data Governance and business stakeholders to define Master Data policies, standards, and stewardship workflows.
  • Design and configure business stewardship workflows in Profisee, enabling data stewards across Underwriting, Claims, and Actuarial domains to manage data quality exceptions.
  • Establish golden record definitions and survivorship rules in alignment with business requirements.
  • Support the development of data lineage, data catalog integration, and metadata management using tools such as Microsoft Purview.
  • Design MDM integration patterns using REST APIs, Azure Service Bus, Event Hub, and ETL/ELT pipelines to ensure bi-directional synchronization between Profisee and enterprise systems..
  • Build and maintain Delta Lake / Medallion architecture pipelines that ingest, cleanse, and promote master data from Bronze → Silver → Gold layers.
  • Ensure high availability, disaster recovery, and scalability of the Profisee deployment on Azure.
  • Define, implement, and monitor Data Quality KPIs and dashboards for master data health across all domains.
  • Conduct root cause analysis on data quality issues and drive remediation efforts in collaboration with source system owners.
  • Develop data profiling and anomaly detection processes to proactively identify master data integrity issues.
  • Translate complex MDM and data governance concepts into clear, actionable guidance for business and technical stakeholders.
  • Produce and maintain comprehensive technical documentation including solution designs, data models, integration specifications, runbooks, and stewardship guides.
  • Actively participate in Agile/Scrum ceremonies, contributing to sprint planning, backlog grooming, and retrospectives.

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What This Job Offers

Job Type

Full-time

Career Level

Entry Level

Education Level

No Education Listed

Number of Employees

5,001-10,000 employees

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