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Insurance Data Processing Jobs in Iowa (NOW HIRING)

Senior Data Systems Analyst

Des Moines, IA

$83K - $105K/yr

Business Process Validation * Insurance industry experience (P&C and/or Life Insurance). * Experience supporting enterprise data warehouse environments. Demonstrated Expertise In: * Data quality ...

Proficient in working with Derivatives, Hedging, Trading Platform, Annuity insurance data ... Proficiency in business analysis concepts including business process modeling, context diagrams ...

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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 Iowa? For Insurance Data Processing jobs in Iowa, the most frequently searched job titles are:
What cities in Iowa are hiring for Insurance Data Processing jobs? Cities in Iowa with the most Insurance Data Processing job openings:
Data Modernization Program Manager( Hybrid)

Data Modernization Program Manager( Hybrid)

Cognizant Technology Solutions

West Des Moines, IA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Cognizant rating

7.4

Company rating: 7.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

40th of 58 rated business consultants


Job description

Role Summary -
We are seeking a seasoned Program manager to lead a large-scale enterprise Data Modernization Program. This role will serve as the strategic center for transforming Insurance's data landscape from legacy systems and siloed data stores to a modern, cloud-native, scalable data platform built on medallion architecture principles. The Program Manager will bring deep, hands-on experience delivering complex data transformation programs in regulated financial services or insurance environments. Beyond program execution, this leader will actively shape how the organization thinks about data sharing thought leadership with executives, guiding architecture decisions, resolving ambiguity from prior experience across business, technology, and vendor communities.
Key Responsibilities
Program Leadership & Strategic Direction
  • Own end-to-end accountability for the Data Modernization Program: scope, schedule, budget, risk, and quality across all workstreams.
  • Define and communicate a clear program vision and roadmap, translating business strategy into executable data transformation plans.
  • Serve as the primary escalation point for program-level issues, applying pattern recognition from prior modernization programs to rapidly resolve blockers.
  • Establish program governance structures including steering committees, operating rhythms, decision frameworks, and RACI models.

Thought Leadership & Architecture Guidance
  • Proactively share insights and lessons learned from prior data modernization programs to educate stakeholders, pre-empt common failure modes, and accelerate decision-making.
  • Act as a trusted advisor to the CIO and business leadership on data strategy, platform selection, and modernization sequencing.

Medallion Architecture Implementation
  • Partner with data engineering leads to enforce standards for data contracts, schema versioning, partition strategies, and metadata management across all layers.

Vendor & Partner Management
  • Lead RFP processes, vendor selection, and contract negotiations for cloud platforms, data integration tools, and systems integrators.
  • Evaluate vendor roadmaps against customers Insurance's long-term data strategy and provide recommendations on build vs. buy vs. partner decisions.
  • Drive effective governance of third-party delivery teams embedded within the program, ensuring alignment with internal standards and culture.

Cross-Functional Stakeholder Alignment
  • Partner with Change Management and Communications to ensure organizational readiness, training, and adoption of modernized data capabilities.

Preferred Qualifications
  • Experience in Data modernization projects preferably with Insurance customers
  • Expertise in Databricks data lake platform
  • Min 5 yrs of experience in a program director role in similar programs
  • Experience with data architecture and data engineering
  • PMP, PgMP, SAFe, or equivalent program management certification will be a plus

*Please note this role is not able to offer visa transfer or sponsorship now or in the future*
We're excited to meet people who share our mission and who can make an impact in a variety of ways. Don't hesitate to apply-even if you only meet the minimum requirements. Think about your transferable experiences and unique skills that make you stand out.
Salary and Other Compensation:
Applications will be accepted until Aug 06, 2026,
The annual salary for this position is between $ 90,000 - $ 160,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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