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Insurance Data Processing Jobs in Michigan (NOW HIRING)

CYNET SYSTEMS

CDA Implementation Lead

Dearborn, MI · On-site

$90/hr

Drive migration of legacy insurance data systems to CDA platform, overseeing data profiling ... Proficiency in SQL and large-scale data processing. Qualification And Education: * Strong knowledge ...

Michigan Farm Bureau

Manager, Data Governance

Lansing, MI · On-site

$111K - $142K/yr

... business processes, decisionmaking, and emerging technology use cases, including AI. Drive ... Minimum three years of insurance experience preferred. Certified Data Management Professional (CDMP ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$113K - $135K/yr

Work with Databricks or similar data platforms for data processing and analytics * Implement ... An employer contribution, even if you don't contribute Income Protection & Insurance Options ...

Reliable Software Resources

AI AWS Data Engineer

Detroit, MI · On-site

$104K - $125K/yr

AI AWS Data Engineer - Unstructured Data & Document Processing Location: Detroit, MI Position ... Experience working with healthcare, legal, financial, or insurance documents Educational ...

New

Denso

Data Scientist 2

Southfield, MI · On-site

$90K - $113K/yr

Support training and enablement of associates on new analytics tools, systems, and processes ... Various Optional Insurance programs such as legal, identity theft, critical illness, etc. * Tuition ...

Denso

Data Scientist 2

Southfield, MI

$90K - $113K/yr

Support training and enablement of associates on new analytics tools, systems, and processes ... Various Optional Insurance programs such as legal, identity theft, critical illness, etc. * Tuition ...

HTC Global Services

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Experience with Python or PySpark for data processing, automation, testing, or analytics ... insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.

Canopy

Senior Data Analyst

Detroit, MI · On-site +1

$96K - $132K/yr

Strong expertise in SQL and experience working with large-scale databases and data processing ... Life insurance and accidental death & dismemberment insurance Compensation Range Compensation may ...

CSAA

Superior research, statistical, analytical, data processing and mathematical skills with ability to ... Knowledge of insurance, accounting and rate-making concepts. * Strong ability to independently ...

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Insurance Data Processing information

What are some common challenges faced in an Insurance Data Processing role and how can they be addressed?

One of the main challenges in Insurance Data Processing is managing large volumes of sensitive data accurately and efficiently, especially when dealing with tight deadlines and evolving regulatory requirements. Errors in data entry or processing can impact claims or policy management, making attention to detail and strong organizational skills essential. To address these challenges, many teams rely on robust data management software, regular training, and collaborative workflows to ensure accuracy and compliance. Proactively seeking feedback and staying updated on industry best practices can also help professionals excel in this role.

What is the difference between Insurance Data Processing vs Insurance Claims Processing?

AspectInsurance Data ProcessingInsurance Claims Processing
Required CredentialsTypically high school diploma or equivalent; some roles may require certifications in data managementHigh school diploma or equivalent; often requires knowledge of claims procedures and insurance policies
Work EnvironmentOffice setting, working with databases and data entry systemsOffice environment, interacting with claim documents and insurance systems
Employer & Industry UsageInsurance companies, third-party administrators, data service providersInsurance companies, claims adjusters, third-party claims processors

Insurance Data Processing involves managing and organizing insurance-related data, focusing on data accuracy and database management. Insurance Claims Processing centers on evaluating and processing insurance claims submitted by policyholders, ensuring proper documentation and compliance. While both roles support insurance operations, Data Processing emphasizes data management, whereas Claims Processing focuses on claim evaluation and settlement.

What is Insurance Data Processing?

Insurance Data Processing refers to the collection, entry, management, and analysis of data related to insurance policies, claims, customers, and transactions. Professionals in this field use specialized software and systems to ensure that insurance information is accurate, up-to-date, and secure. Their work supports the smooth operation of insurance companies by helping to process claims, issue policies, and generate reports for decision-making. Accuracy and attention to detail are crucial in this role due to the sensitive nature of insurance data.

What are the key skills and qualifications needed to thrive as an Insurance Data Processing Specialist, and why are they important?

To thrive as an Insurance Data Processing Specialist, you need strong attention to detail, proficiency in data entry, and a solid understanding of insurance terminology, typically supported by a high school diploma or relevant associate degree. Familiarity with insurance management software, claims processing systems, and database tools such as Microsoft Excel is commonly required. Excellent organizational skills, problem-solving abilities, and effective communication help you excel in managing large volumes of sensitive information. These skills ensure accuracy, minimize errors, and support efficient operations within insurance organizations.
What are popular job titles related to Insurance Data Processing jobs in Michigan? For Insurance Data Processing jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Insurance Data Processing jobs in Michigan look for? The top searched job categories for Insurance Data Processing jobs in Michigan are:
What cities in Michigan are hiring for Insurance Data Processing jobs? Cities in Michigan with the most Insurance Data Processing job openings:
Insurance Data Processing jobs near you
CDA Implementation Lead

CDA Implementation Lead

CYNET SYSTEMS

Dearborn, MI • On-site

$90/hr

Contractor

Posted 9 days ago

Job description

Job Overview:

Requirement/Must Have:

  • 10+ years of experience in data architecture, data engineering, or data platforms.
  • 5+ years in Guidewire ecosystem, with hands-on experience in PolicyCenter (PC), BillingCenter (BC), and Guidewire DataHub.

Responsibilities:

  • Lead the design and implementation of the Cloud Data Access (CDA) aligned with enterprise modernization goals.
  • Define target-state architecture integrating Guidewire (PC, BC, DataHub) with cloud data platforms and operational data stores.
  • Ensure architecture supports high scalability and performance, real-time and batch data processing, and advanced analytics and reporting.
  • Own end-to-end Guidewire data architecture, including PolicyCenter & BillingCenter data models and DataHub ingestion.
  • Lead integration patterns between Guidewire and CDA, ensuring data consistency, lineage, and governance.
  • Drive migration of legacy insurance data systems to CDA platform, overseeing data profiling, cleansing, and transformation.
  • Lead development of modern ELT pipelines replacing legacy ETL tools, implementing scalable pipelines using cloud-native tools.
  • Act as the technical lead across cross-functional teams, managing delivery roadmap and milestones.
  • Partner with business teams, enterprise architecture teams, and vendor partners to translate business requirements into scalable data solutions.

Skills:

  • Strong knowledge of Guidewire data models and integration patterns.
  • Experience with cloud platforms such as GCP, AWS, or Azure.
  • Expertise in data warehousing and data modeling.
  • Proficiency in SQL and large-scale data processing.

Qualification And Education:

  • Strong knowledge of DataHub canonical model and ingestion framework.
  • Experience with data migration strategies and data quality frameworks.
  • Familiarity with metadata and lineage tools.
 

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.
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About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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