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Insurance Data Processing Jobs in Connecticut (NOW HIRING)

Data Engineer

Hartford, CT ยท On-site +1

$142K - $158K/yr

Writing Extract/Transform/Load (ETL) processes;Designing data architectures, including data ... The Company provides a fully-paid term life insurance plan to eligible employees, and short-term ...

... insurance business, data and data controls. Data management of the Enterprise Data Warehouse (EDW ... Onboard and productionize processes related to data received from new platforms * Troubleshoot and ...

... insurance business, data and data controls. Data management of the Enterprise Data Warehouse (EDW ... Onboard and productionize processes related to data received from new platforms * Troubleshoot and ...

Data Architect

Windsor, CT ยท On-site

$55 - $60/hr

Contribute to data tool standards and governance processes. Assist with evaluating data complexity ... Prior experience with financial services, retirement, insurance, or medical records industry highly ...

Director, Data Architect

Hartford, CT ยท Hybrid

$64.25 - $82.75/hr

... insurance company that goes well beyond coverages and policies. Working here means having every ... Drive best practices in AI data engineering byestablishingstandardized processes, promotingcutting ...

New

Data Scientist

Windsor, CT ยท On-site

$117K - $146K/yr

Leverage a curious mindset, initiative, and "elbow grease" to enhance existing processes, and to ... This role is also eligible for an annual performance bonus, comprehensive health insurance (medical ...

Business Data Analyst

Hartford, CT ยท Hybrid

$80K - $120K/yr

... Insurance Business. You will have an opportunity to participate in the entire software development lifecycle process in support of continuous DATA delivery, evolution and adoption, while growing your ...

Principal Data Engineer

Hartford, CT ยท On-site +1

$147K - $288K/yr

Healthcare data management processes and techniques, including data standards, interoperability ... The Company provides a fully-paid term life insurance plan to eligible employees, and short-term ...

The Personal Insurance Loss and Demand Modeling Team is looking for a skilled Sr Staff Data ... Ingest and process large-scale datasets (e.g. telematics data) into the Enterprise Data Lake and ...

Data Engineer

Hartford, CT ยท Hybrid

$100K - $151K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance ... As a Data Engineer, you will participate in the entire software development lifecycle process in ...

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Showing results 1-20

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 Connecticut? For Insurance Data Processing jobs in Connecticut, the most frequently searched job titles are:
What cities in Connecticut are hiring for Insurance Data Processing jobs? Cities in Connecticut with the most Insurance Data Processing job openings:

AVP, Software Engineering - Enterprise Reporting and Data (Hybrid - Hartford/Jersey City/Raleigh)

Archgroup

Hartford, CT โ€ข On-site

$115K - $138K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday


Job description

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility.

Job Summary

The Assistant Vice President of Enterprise Reporting and Data leads enterprise reporting and data strategy across critical functions, including data engineering, data governance, agentic AI, business intelligence and reporting, actuarial data support, and specialized areas such as Ceded Reinsurance. This role owns end-to-end data and reporting platforms, ensuring scalable architecture, efficient operations, and business-aligned delivery across agile teams and vendor partners. The AVP also drives cross-functional collaboration, business value, compliance, and modernization across the data ecosystem, including Snowflake, Azure services, Databricks, Sigma, Python, Airflow, Collibra, Stibo, and Power BI.

In addition, the role is responsible for leading delivery, governance, and operational oversight across key enterprise data platform capabilities, including Data Stores, Cortex, Data Security, MDM, RDM, Data Lineage, and Data Catalog. The AVP will provide leadership across Agile execution and solution architecture while ensuring strong platform design governance, scalability, and standardization. A core expectation is maintaining close proximity to delivery, actively guiding engineering teams and course-correcting execution when needed. The role partners directly with SVP-level stakeholders to drive requirement alignment, negotiation, and business outcomes rather than operating as an order-taker. It also plays a key role in advancing AI-enabled reporting and modernization efforts across the AINA data ecosystem while ensuring operational stability and compliance.

Responsibilities

Strategic Leadership & Governance

  • Set the vision and strategy for data initiatives across key product teams, including Enterprise Reporting, Ceded Reinsurance, and Actuarial IT.
  • Partner with senior business stakeholders to align data initiatives with enterprise goals.
  • Lead cross-functional agile teams to deliver high-quality data products and platforms that create business value.

Data Platform Oversight

  • Lead the roadmap, architecture, and lifecycle management of enterprise data platforms, including Snowflake-based data lakes, data warehouses, and Azure pipelines.
  • Ensure reliable development, deployment, and support of ETL/ELT frameworks using tools such as Snowflake, DBT, Databricks, Python, Qlik, Airflow, and ADF.

Business Intelligence & Reporting

  • Lead strategy and development for Sigma, Power BI, SSRS, and dashboarding solutions.
  • Partner with business teams to deliver actionable insights, self-service reporting, and financial and statutory reporting support.

Enterprise Data & Reporting Support

  • Provide strategic and technical leadership for teams supporting enterprise reporting and data, actuarial modeling, reserving data flows, and ceded reinsurance data provisioning.
  • Ensure timely, accurate, and audit-ready data for reporting platforms, actuarial processes, and reinsurance calculations and reporting.

Program Management & Delivery

  • Lead multiple delivery teams across the U.S. and offshore locations, maintaining sprint velocity and roadmap execution.
  • Ensure delivery complies with SOX, SOC 2, and NYDFS requirements.
  • Manage vendor relationships, contract negotiations, and budget planning.

Innovation, Modernization & Quality

  • Promote modern agentic AI, DevOps, CI/CD, Git, and orchestration practices across data engineering and reporting pipelines.
  • Drive innovation in AI/ML, data observability, and self-service capabilities to improve business outcomes.
  • Ensure strong documentation, test coverage, and audit trails across data processes and platforms.

Skills & Experience

  • 12+ years of experience in data platforms, data engineering, and business intelligence.
  • 7+ years of leadership experience managing multidisciplinary teams across data engineering, reporting, actuarial data, or reinsurance.
  • Strong experience in insurance (P&C), finance, actuarial, or risk domains is highly preferred.
  • Deep knowledge of cloud technologies, especially Azure and Snowflake, with familiarity in Power BI, SSIS, and SSRS.
  • Must demonstrate strong proximity to delivery (not just oversight), including ability to review code, guide engineering teams on "how to build," and step in to course-correct technical execution when needed.
  • Proven experience engaging directly with SVP-level stakeholders to drive and negotiate requirements, with accountability for outcomes rather than operating as a downstream delivery partner.
  • Working, hands-on proficiency in Python within data engineering contexts, with the ability to apply it in pipelines or guide teams in its practical use (not just theoretical exposure)
  • Experience with regulatory compliance and audit standards, including SOX, SOC 2, and NYDFS.
  • Proven success leading large-scale data transformation programs and cross-functional delivery teams.
  • Ability to mentor senior managers, architects, and subject matter experts, with strong stakeholder management and influencing skills.
  • Demonstrated experience building data capabilities and tools to support analytics, research, and actuarial functions in an insurance environment.
  • Strong proficiency in SQL, Python, or similar programming languages.
  • Experience with orchestration tools such as Airflow.
  • Experience with cloud platforms and tools such as Snowflake and Databricks.
  • Ability to work independently while managing priorities and collaborating across teams.
  • Excellent collaboration and relationship-building skills.
  • Comfort with ambiguity and the ability to break complex problems into manageable steps.
  • Strong analytical skills and the ability to derive insights from data.
  • Strong problem-solving and critical-thinking skills.
  • Excellent verbal and written communication skills, with the ability to tailor messages for technical and non-technical audiences, including senior executives.
  • Flexibility to adapt to changing priorities and requirements.
  • Ability to lead and mentor mid-level and junior team members in delivering high-quality solutions to complex business challenges.
  • Curiosity and creativity in exploring modern technologies and new data sources.
  • Ability to document data sources and technical solutions effectively.
  • Ability to balance competing priorities across portfolios and resources.
  • Ability to build strong partnerships across the organization to support strategic goals.
  • Commitment to continuously improving team capabilities and workflows.

Education

  • Master's or Bachelor's degree in computer science, data science, or a related field is required.

#LI-Hybrid
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For individuals assigned or hired to work in the location(s) indicated below, the base salary range is provided. Range is as of the time of posting. Position is incentive eligible.

For Jersey City: $148,400 - $230,322/year

For Hartford: $133,500 - $207,289/year

  • Total individual compensation (base salary, short & long-term incentives) offered will take into account a number of factors including but not limited to geographic location, scope & responsibilities of the role, qualifications, talent availability & specialization as well as business needs. The above pay range may be modified in the future.

  • Arch is committed to helping employees succeed through our comprehensive benefits package that includes multiple medical plans plus dental, vision and prescription drug coverage; a competitive 401k with generous matching; PTO beginning at 20 days per year; up to 12 paid company holidays per year plus 2 paid days of Volunteer Time Offer; basic Life and AD&D Insurance as well as Short and Long-Term Disability; Paid Parental Leave of up to 10 weeks; Student Loan Assistance and Tuition Reimbursement, Backup Child and Elder Care; and more. Click here to learn more on available benefits.

Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you.If this job isn't the right fit but you're interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch's Talent Acquisition team.

14400 Arch Insurance Group Inc.