Data and Analytics / Enterprise Architecture

Pay Range: $85hr - $90hr

• We are seeking experienced Candidates with a strong background in enterprise data management and P&C insurance domain expertise.
• The role involves designing, implementing, and managing master data solutions, ensuring high data quality, and aligning with enterprise architecture strategies.

Responsibilities:

• Lead end-to-end design, configuration, and deployment of master data management platforms, including entity modeling, stewardship workflows, and data matching and merging rules.
• Architect and build master data domains such as Policy, Customer, Agent, Vendor, Location, and Product reference data aligned with business requirements.
• Configure and manage different master data management styles based on domain needs.
• Develop and maintain data quality rules, validation logic, and survivorship hierarchies.
• Integrate master data platforms with upstream and downstream systems including data platforms, cloud storage, and enterprise applications.
• Partner with data governance teams and business stakeholders to define data policies, standards, and stewardship workflows.
• Design and implement stewardship workflows to manage data quality exceptions across business domains.
• Establish golden record definitions and survivorship rules aligned with business needs.
• Support data lineage, catalog integration, and metadata management processes.
• Design integration patterns using APIs, messaging systems, and data pipelines to ensure synchronization across enterprise systems.
• Collaborate with enterprise architecture teams to align solutions with broader data platform strategies.
• Build and maintain data pipelines that ingest, cleanse, and promote master data across different layers.
• Ensure high availability, scalability, and reliability of data platforms.
• Define and monitor data quality metrics and dashboards.
• Conduct root cause analysis and drive remediation for data quality issues.
• Develop data profiling and anomaly detection processes.
• Translate complex data concepts into clear guidance for stakeholders.
• Maintain technical documentation including solution design, data models, and integration specifications.
• Provide training and enablement to business and technical teams.
• Participate in Agile ceremonies including sprint planning, backlog grooming, and retrospectives.

• Strong experience in P&C insurance domain.
• Hands-on experience with enterprise data management and master data management platforms.
• Experience designing and implementing master data domains in enterprise environments.

Experience:

• Experience in enterprise data management with hands-on implementation of master data solutions.
• Proven experience delivering data management solutions in financial services, insurance, or regulated industries.

Skills:

• Strong understanding of data governance, data quality, and data architecture principles.
• Experience with APIs, data pipelines, and cloud-based data platforms.
• Knowledge of Agile and Scrum methodologies.
• Strong analytical, problem-solving, and communication skills.

Qualification And Education:

• Bachelor s degree in Computer Science, Information Systems, Data Management, or a related field.
• Master s degree preferred.