Product Owner Visa Sponsorship Jobs in Connecticut
Product owner visa sponsorship jobs in Connecticut are concentrated around Hartford's insurance and financial technology sector, Stamford's corporate headquarters, and the growing biotech corridor along the I-95 corridor. Major employers including Cigna, Synchrony, and United Technologies have established product management practices that regularly hire internationally and file H-1B visa petitions.
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Location:
Hartford, CT
Category:
Data & Analytics
Employment Type:
Full time, Remote
Job Ref:
R2625657-168
Dir Data Science - GD06AE
We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.
Principal Technical Product Manager (AI & Data Science)
Role Overview
We are seeking a Principal Technical Product Manager to lead the strategy, development, and scaling of enterprise AI and data science products. This role sits at the intersection of product strategy, advanced analytics, and platform engineering, driving the end-to-end lifecycle from concept through production.
As a senior individual contributor, you will operate as a product leader and technical translator, aligning stakeholders, shaping roadmaps, and ensuring delivery of high-impact AI solutions that deliver measurable business value.
Key Responsibilities
Product Strategy & Vision
- Define and own the product vision, strategy, and roadmap for AI/ML-driven products and data platforms
- Translate business objectives into scalable, reusable AI product capabilities
- Identify opportunities to leverage advanced analytics, machine learning, and generative AI to drive business impact
End-to-End Product Ownership
- Lead product lifecycle from opportunity identification POC MVP production scaling
- Ensure products meet enterprise standards for architecture, governance, and compliance
- Define success metrics (KPIs, adoption, ROI) and manage performance post-launch
Technical Product Leadership
- Partner closely with engineering, data science, and platform teams to:
- Define technical requirements and architecture trade-offs
- Prioritize backlog and align delivery to business value
- Ensure solutions are scalable, secure, and production-ready
- Stay current on AI/ML trends and evaluate emerging technologies
Stakeholder & Cross-Functional Alignment
- Act as primary interface across business, technology, data science, and governance teams
- Lead workshops and facilitate alignment on priorities, scope, and trade-offs
- Communicate clearly with both executive and technical audiences
Execution & Delivery Excellence
- Drive agile product development, including backlog prioritization and sprint planning
- Manage dependencies across teams and ensure on-time, high-quality delivery
- Proactively identify risks and implement mitigation strategies
Governance, Risk, and Responsible AI
- Ensure solutions adhere to enterprise AI governance, security, and compliance standards
- Embed best practices for model validation, monitoring, explainability, and fairness
- Partner with risk, legal, and security teams on production readiness
Qualifications
Experience
- 10+ years of product management experience, including:
- 10+ years in technical product management
- Proven experience delivering data science, AI/ML, or analytics products
- Track record of shipping products from concept to production at scale
- Advanced understanding of adoption strategies and metrics
Technical Skills
- Strong understanding of:
- Machine learning lifecycle (data prep, modeling, deployment, monitoring)
- Data platforms (cloud, data pipelines, APIs, analytics tools)
- AI/GenAI concepts (LLMs, prompt engineering, evaluation frameworks)
- Ability to engage deeply in technical conversations with engineers and data scientists
Leadership & Execution
- Demonstrated ability to lead cross-functional, matrixed teams
- Strong prioritization and decision-making skills in ambiguous environments
- Excellent communication and stakeholder management skills
Education
- Master’s degree in Computer Science, Engineering, Data Science, or related field (or equivalent experience)
Preferred Qualifications
- Experience building enterprise AI platforms or AI-enabled products, specifically in Gemini Enterprise Agent Platform
- Familiarity with cloud environments (GCP, AWS, Azure) and modern data stacks
- Experience with regulated industries (insurance, finance, healthcare)
Key Skills for Regulated Industries:
- Regulatory & Compliance Acumen
- Deep understanding of regulatory frameworks (e.g., SOX, GDPR, HIPAA, Model Risk Management)
- Ability to translate regulatory requirements into product features, controls, and workflows
- Responsible AI & Model Governance
- Experience implementing model validation, explainability, fairness, and bias detection
- Familiarity with AI governance frameworks, auditability, and documentation standards
- Ability to operationalize model risk management (MRM) practices across the product lifecycle
- Data Privacy & Security
- Strong understanding of data protection, PII handling, and data classification
- Experience partnering with security teams on access controls, encryption, and data lineage
- Knowledge of secure AI/ML architectures (e.g., VPC controls, air-gapped environments)
- Audit & Traceability
- Ability to ensure solutions are fully auditable, with clear lineage from data model output
- Experience supporting internal/external audits with appropriate controls and documentation
- Enterprise Risk Management
- Ability to identify and manage operational, reputational, and compliance risks
- Experience working with Legal, Risk, and Compliance functions to approve and scale AI solutions
- Policy-to-Product Translation
- Proven ability to take ambiguous regulatory or governance requirements and translate them into:
- Product requirements
- Acceptance criteria
- Monitoring and reporting capabilities
- Change Management & Adoption in Regulated Environments
- Experience driving adoption where risk sensitivity is high and approvals are multi-layered
- Ability to balance innovation speed with control rigor
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$153,200 - $229,800
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
Job Details
Location:
Hartford, CT
Category:
Data & Analytics
Employment Type:
Full time, Remote
Job Ref:
R2625657-168
Dir Data Science - GD06AE
We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.
Principal Technical Product Manager (AI & Data Science)
Role Overview
We are seeking a Principal Technical Product Manager to lead the strategy, development, and scaling of enterprise AI and data science products. This role sits at the intersection of product strategy, advanced analytics, and platform engineering, driving the end-to-end lifecycle from concept through production.
As a senior individual contributor, you will operate as a product leader and technical translator, aligning stakeholders, shaping roadmaps, and ensuring delivery of high-impact AI solutions that deliver measurable business value.
Key Responsibilities
Product Strategy & Vision
- Define and own the product vision, strategy, and roadmap for AI/ML-driven products and data platforms
- Translate business objectives into scalable, reusable AI product capabilities
- Identify opportunities to leverage advanced analytics, machine learning, and generative AI to drive business impact
End-to-End Product Ownership
- Lead product lifecycle from opportunity identification POC MVP production scaling
- Ensure products meet enterprise standards for architecture, governance, and compliance
- Define success metrics (KPIs, adoption, ROI) and manage performance post-launch
Technical Product Leadership
- Partner closely with engineering, data science, and platform teams to:
- Define technical requirements and architecture trade-offs
- Prioritize backlog and align delivery to business value
- Ensure solutions are scalable, secure, and production-ready
- Stay current on AI/ML trends and evaluate emerging technologies
Stakeholder & Cross-Functional Alignment
- Act as primary interface across business, technology, data science, and governance teams
- Lead workshops and facilitate alignment on priorities, scope, and trade-offs
- Communicate clearly with both executive and technical audiences
Execution & Delivery Excellence
- Drive agile product development, including backlog prioritization and sprint planning
- Manage dependencies across teams and ensure on-time, high-quality delivery
- Proactively identify risks and implement mitigation strategies
Governance, Risk, and Responsible AI
- Ensure solutions adhere to enterprise AI governance, security, and compliance standards
- Embed best practices for model validation, monitoring, explainability, and fairness
- Partner with risk, legal, and security teams on production readiness
Qualifications
Experience
- 10+ years of product management experience, including:
- 10+ years in technical product management
- Proven experience delivering data science, AI/ML, or analytics products
- Track record of shipping products from concept to production at scale
- Advanced understanding of adoption strategies and metrics
Technical Skills
- Strong understanding of:
- Machine learning lifecycle (data prep, modeling, deployment, monitoring)
- Data platforms (cloud, data pipelines, APIs, analytics tools)
- AI/GenAI concepts (LLMs, prompt engineering, evaluation frameworks)
- Ability to engage deeply in technical conversations with engineers and data scientists
Leadership & Execution
- Demonstrated ability to lead cross-functional, matrixed teams
- Strong prioritization and decision-making skills in ambiguous environments
- Excellent communication and stakeholder management skills
Education
- Master’s degree in Computer Science, Engineering, Data Science, or related field (or equivalent experience)
Preferred Qualifications
- Experience building enterprise AI platforms or AI-enabled products, specifically in Gemini Enterprise Agent Platform
- Familiarity with cloud environments (GCP, AWS, Azure) and modern data stacks
- Experience with regulated industries (insurance, finance, healthcare)
Key Skills for Regulated Industries:
- Regulatory & Compliance Acumen
- Deep understanding of regulatory frameworks (e.g., SOX, GDPR, HIPAA, Model Risk Management)
- Ability to translate regulatory requirements into product features, controls, and workflows
- Responsible AI & Model Governance
- Experience implementing model validation, explainability, fairness, and bias detection
- Familiarity with AI governance frameworks, auditability, and documentation standards
- Ability to operationalize model risk management (MRM) practices across the product lifecycle
- Data Privacy & Security
- Strong understanding of data protection, PII handling, and data classification
- Experience partnering with security teams on access controls, encryption, and data lineage
- Knowledge of secure AI/ML architectures (e.g., VPC controls, air-gapped environments)
- Audit & Traceability
- Ability to ensure solutions are fully auditable, with clear lineage from data model output
- Experience supporting internal/external audits with appropriate controls and documentation
- Enterprise Risk Management
- Ability to identify and manage operational, reputational, and compliance risks
- Experience working with Legal, Risk, and Compliance functions to approve and scale AI solutions
- Policy-to-Product Translation
- Proven ability to take ambiguous regulatory or governance requirements and translate them into:
- Product requirements
- Acceptance criteria
- Monitoring and reporting capabilities
- Change Management & Adoption in Regulated Environments
- Experience driving adoption where risk sensitivity is high and approvals are multi-layered
- Ability to balance innovation speed with control rigor
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$153,200 - $229,800
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
Product Owner Job Roles in Connecticut
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Search Product Owner Jobs in ConnecticutProduct Owner Jobs in Connecticut: Frequently Asked Questions
Which companies in Connecticut sponsor visas for product owners?
Connecticut's largest visa sponsors for product owner roles include Cigna and Aetna in Hartford's insurance technology space, Synchrony Financial in Stamford, and UTC (now Raytheon Technologies) in the aerospace and defense sector. Financial services firms along the Stamford-Greenwich corridor, including several hedge fund technology divisions, also have consistent sponsorship histories for product management positions as documented in Department of Labor LCA disclosure data.
What visa types are most common for product owner roles in Connecticut?
The H-1B is the most common visa category for product owners in Connecticut because the role typically qualifies as a specialty occupation requiring a bachelor's degree in a relevant field such as computer science, engineering, or business information systems. Some candidates also enter through L-1B intracompany transferee visas when moving from a parent company overseas, and TN visas apply for Canadian and Mexican nationals whose roles meet the applicable criteria under USMCA.
Which cities in Connecticut have the most product owner sponsorship jobs?
Stamford generates the highest volume of product owner sponsorship opportunities in Connecticut, driven by its concentration of corporate headquarters in financial services, media, and technology. Hartford follows closely due to its insurance technology sector, where Cigna, Aetna, and The Hartford have large product management teams. New Haven has an emerging presence tied to biotech and health technology companies, with Yale's research ecosystem feeding into surrounding employer pipelines.
How to find product owner visa sponsorship jobs in Connecticut?
Migrate Mate filters product owner roles specifically by visa sponsorship willingness, which saves significant time compared to applying broadly and discovering late in the process that an employer won't sponsor. For Connecticut, focus your search on Hartford and Stamford where sponsorship-active employers in insurance technology and financial services are clustered. Migrate Mate surfaces roles from employers with documented H-1B filing histories, making it easier to prioritize applications toward companies that have sponsored international candidates before.
Are there state-specific considerations for product owner roles and visa sponsorship in Connecticut?
Connecticut follows federal prevailing wage requirements, so employers sponsoring H-1B product owners must pay wages meeting Department of Labor wage levels for the relevant occupational classification and geographic area. The Hartford and Stamford metropolitan areas have distinct prevailing wage determinations, and Stamford wages generally reflect the competitive compensation levels seen in the broader New York metro market. Connecticut's heavy concentration in regulated industries like insurance also means product owner roles there often require domain knowledge that strengthens sponsorship cases.
What is the prevailing wage for sponsored product owner jobs in Connecticut?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.