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Data Modernization Jobs in Connecticut (NOW HIRING)

You'll leverage your Mainframe and Data modernization, AI, engineering, technical, business and communication expertise to partner with functional leaders to define and prioritize key data needs and ...

You'll leverage your Mainframe and Data modernization, AI, engineering, technical, business and communication expertise to partner with functional leaders to define and prioritize key data needs and ...

GCP Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Contract (W2) Role Overview Our client is seeking an experienced GCP Data Engineer to support enterprise data modernization and analytics initiatives. This role focuses on building and maintaining ...

Experience with legacy-to-cloud data modernization (e.g., IBM DB2 extracts) and integration tools (e.g., Talend) where relevant. * Experience with ML lifecycle tooling (e.g., MLflow or equivalent ...

New

Data Architect

Windsor, CT · On-site

$63.25 - $81.50/hr

We are seeking a Senior Data Architect to lead enterprise data strategy, data platform modernization, and solution design. This role works directly with business, architecture, and engineering teams ...

Senior Data Architect

Windsor, CT · On-site

$66.75 - $89.50/hr

We are seeking a Senior Data Architect to lead enterprise data strategy, data platform modernization, and solution design. This role works directly with business, architecture, and engineering teams ...

New

Data Architect_ Windsor, CT

Windsor, CT · On-site

$63.50 - $81.75/hr

Georgia IT, Inc. is seeking a Senior Data Architect to lead enterprise data strategy, data platform modernization, and solution design. This role works directly with business, architecture, and ...

AVP, Data Platform Engineering

Hartford, CT · On-site

$115K - $138K/yr

Drive modernization of enterprise data platform capabilities through cloud adoption, platform rationalization, legacy migration, automation, and scalable engineering practices. * Establish ...

Supporting the design and modernization of cyber data and analytics programs that improve organizational intelligence and enable scalable delivery models * Developing and applying analytics, machine ...

Supporting the design and modernization of cyber data and analytics programs that improve organizational intelligence and enable scalable delivery models * Developing and applying analytics, machine ...

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Data Modernization information

What is the difference between Data Modernization vs Data Analyst?

AspectData ModernizationData Analyst
Primary FocusUpgrading and transforming data systems and infrastructureAnalyzing data to generate insights and reports
Skills RequiredData architecture, cloud platforms, database managementStatistical analysis, data visualization, SQL
Work EnvironmentIT departments, data engineering teamsBusiness units, analytics teams
CertificationsCloud certifications, data management certificationsData analysis, visualization certifications

Data Modernization involves upgrading data systems and infrastructure to improve efficiency and scalability, often requiring technical expertise in data architecture and cloud platforms. In contrast, Data Analysts focus on interpreting data, creating reports, and providing insights to support business decisions. While both roles work with data, their core responsibilities and skill sets differ significantly.

What are some common challenges faced by professionals working in data modernization projects?

Professionals in Data Modernization often encounter challenges such as integrating legacy systems with modern cloud-based solutions, ensuring data quality during migration, and managing data security and compliance. Additionally, they may need to collaborate closely with cross-functional teams to align business goals with technical requirements. Adaptability and strong communication skills are important, as priorities can shift rapidly in response to evolving business needs and technology updates.

What are the key skills and qualifications needed to thrive in data modernization?

To thrive in Data Modernization, you need strong expertise in data architecture, cloud platforms, and data migration, often supported by a degree in computer science or information systems. Familiarity with tools like Azure, AWS, Snowflake, ETL frameworks, and certifications such as AWS Certified Data Analytics or Microsoft Azure Data Engineer are commonly required. Excellent problem-solving, project management, and communication skills help professionals effectively lead transformation initiatives and collaborate with stakeholders. These skills are crucial for ensuring seamless migration, maximizing data value, and driving innovation within organizations.
What are popular job titles related to Data Modernization jobs in Connecticut? For Data Modernization jobs in Connecticut, the most frequently searched job titles are:
Infographic showing various Data Modernization job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Head of Data Engineering, PRS

Chubb

Simsbury, CT • On-site

$224K - $314K/yr

Full-time

Posted 26 days ago


Chubb rating

8.2

Company rating: 8.2 out of 10

Based on 66 frontline employees who took The Breakroom Quiz

141st of 303 rated insurance


Job description


We are seeking a Head of Data Engineering for our Chubb North America Personal Lines Data team to drive Tech & Data modernization. With a dual reporting relationship into our Head of Data for North America and CIO of Personal Risk Services (PRS), you will have the unique opportunity to make your mark as a senior Data Leader here at Chubb. You will be entrusted to apply your leadership and engineering expertise to a subject you love - Data! In this role, we are seeking someone with the keen ability to develop people, form strong working partnerships with business and technology leaders, plan and implement data engineering programs, formulate data and analytics strategies for solving business problems. You'll leverage your Mainframe and Data modernization, AI, engineering, technical, business and communication expertise to partner with functional leaders to define and prioritize key data needs and build data products & platforms.
If you have exceptionally strong cloud data engineering skills, experience implementing complex real-time data and analytics platforms to produce practical insights, then we'd love to hear from you!
In this role, you will:
  • Develop and advance the data strategy, data architecture, roadmap, and vision for the Personal Risk Service (PRS) business by defining measurable/concrete objectives and key results for the data teams to derive transformation.
  • Serve as the key point of contact for the PRS business leadership and stakeholders
  • Derive innovation and build highly scalable real-time data pipelines and data products to support the business needs.
  • Build a data engineering organization that is business focused, proactive, and resilient.
  • Attract, hire, and retain top engineering talent, creating an engineering culture that embraces innovation, collaboration, and AI data engineering practices.
  • Responsible to establish data engineering standards, resiliency, certify assets and implement necessary integration updates in downstream assets
  • Advance data governance and master/reference data management as a strategic discipline.
  • Implement strategies to monitor the effectiveness of data engineering.
  • Mentor/Train Engineers within the PRS Data organization, engineering best practices, design standards, modern AI data engineering practices, cloud-first approach, well-architected cloud solutions
  • Be an inspiring engineering leader. Mentor and coach data engineers and be an active member of the data leadership team in North America.
  • Evaluate emerging data technologies and determine their business benefits and impact on the future-state data platform.

Qualifications
  • 12+ years of related work experience and six or more years of leadership experience
  • Demonstrated experience in the P&C Insurance industry, specifically focused on Legacy Technology Modernization and Data Modernization.
  • Have previously held a data engineering leadership role with stakeholder management experience
  • Candidate should have in-depth experience in designing and implementing cloud data and analytics platforms for a large organization
  • Have hands-on architecture and delivery experience in large scale, cloud data management solutions.
  • Proven ability to translate data into actionable insights and connect technical work to business impact and outcomes
  • Exceptional communication and presentation skills with the ability to break down complex technical subjects in an understandable way
  • Hands-on experience architecting and implementing large scale multi discipline master/reference data management, cloud data lake and analytics platforms.
  • Data technology literate with a detailed understanding of the modem data architectures and data analytics platforms
  • Proven ability to lead teams through collaborative problem-solving using design thinking principles.
  • Insurance business domain, data/content and process understanding.
  • Knowledge of relational/object modelling, knowledge/graph modelling techniques
  • Understanding of metamodels, taxonomies and ontologies
  • Ability to assess rapidly changing technologies and apply them to business needs.

The pay range for the role is $224,500 to $314,500. The specific offer will depend on an applicant's skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program. Chubb offers a comprehensive benefits package, more details on which can be found on our careers website. The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled.
About Us
Chubb is a world leader in insurance. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance, and life insurance to a diverse group of clients. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally.
At Chubb, we are committed to equal employment opportunity and compliance with all laws and regulations pertaining to it. Our policy is to provide employment, training, compensation, promotion, and other conditions or opportunities of employment, without regard to race, color, religious creed, sex, gender, gender identity, gender expression, sexual orientation, marital status, national origin, ancestry, mental and physical disability, medical condition, genetic information, military and veteran status, age, and pregnancy or any other characteristic protected by law. Performance and qualifications are the only basis upon which we hire, assign, promote, compensate, develop and retain employees. Chubb prohibits all unlawful discrimination, harassment and retaliation against any individual who reports discrimination or harassment.

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About Chubb

Sourced by ZipRecruiter

Chubb is the world's largest publicly traded property and casualty insurer. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. We are a unique global organization with a culture of individuals passionately committed to our respective crafts. With underwriting at our core, each of us contributes to providing the best insurance coverage and service to our clients. Our highly collaborative, inclusive nature helps us drive better business outcomes through diversity of background, experiences, insights and values.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Warren, NJ, US