Data & Analytics / Enterprise Architecture

eTeam Inc.

Newark, NJ

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JOB DETAILS

SKILLS

Actuarial Skills, Agile Programming Methodologies, Application Programming Interface (API), Backlog Prioritization, Best Practices, Claims Management, Computer Science, Data Analysis, Data Lake, Data Management, Data Modeling, Data Profiling, Data Quality, Database Extract Transform and Load (ETL), Disaster Recovery, Enterprise Architecture, Financial Services, High Availability, Information Technology & Information Systems, Insurance, Manufacturing Data Management, Master Data Management (MDM), Metadata, Microsoft Product Family, Microsoft Windows Azure, Performance Metrics, Policy Development, Quality Management, Quality Monitoring, REST (Representational State Transfer), Reporting Dashboards, Root Cause Analysis, Scrum Project Management and Software Development, Snowflake Schema, Sprint Planning, Stewardship, Systems Administration/Management, Technical Writing, Training/Teaching, Underwriting

LOCATION

Newark, NJ

POSTED

30+ days ago

Job Title: Data & Analytics / Enterprise Architecture
Location: Warren, NJ | Hybrid
Rate : ***
Need candidates with strong P&C insurance domain experience.

Key Responsibilities
Platform Implementation & Configuration
Lead end-to-end design, configuration, and deployment of the Profisee MDM platform, including entity modeling, stewardship workflows, matching/merging rules, and survivorship logic.
Architect and 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.
Data Governance & Stewardship
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.
Architecture & Integration
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.
Collaborate with the Enterprise Architecture team to align MDM solutions with the broader Data Mesh / Data Platform strategy, ensuring master data is published as trusted data products to domain teams.
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.
Data Quality & Analytics
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.
Stakeholder Engagement & Documentation
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.
Provide training and enablement to data stewards, analysts, and IT teams on Profisee platform usage and MDM best practices.
Actively participate in Agile/Scrum ceremonies, contributing to sprint planning, backlog grooming, and retrospectives.
Required Qualifications
Education
Bachelor s degree in computer science, Information Systems, Data Management, or a related field. Master's degree preferred.
Experience
5 years of experience in enterprise data management, with at least 3 years of hands-on, production-level experience with the Profisee MDM platform.
Demonstrated experience delivering MDM solutions in financial services, insurance, or similarly regulated industries.
Proven track record of implementing Party/Customer, Policy, or Product master data domains in complex enterprise environments.

About the Company

eTeam Inc.

Looking for a great job? Join eTeam. We’re looking for talented staffing professionals to join our staff. We also provide contract assignments and full-time jobs at Fortune 2000 Companies. We’ve been named one of the best companies to work for by Staffing Industry Analysts and New Jersey Business.

COMPANY SIZE

100 to 499 employees

INDUSTRY

Other/Not Classified

FOUNDED

1998

WEBSITE

www.eteaminc.com

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