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Data and Analytics / Enterprise Architecture
Cynet Systems
- United States
- United States
Über
Pay Range: $85hr - $90hr Job Description
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. Requirement/Must Have
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.
Sprachkenntnisse
- English
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