Product Manager Visa Sponsorship Jobs in Connecticut
Connecticut's product manager job market centers on Stamford's financial services corridor, Hartford's insurance and healthcare giants like Aetna and The Hartford, and a growing tech presence in New Haven tied to Yale's innovation ecosystem. Employers across these industries regularly sponsor H-1B visas for experienced product managers with specialized domain knowledge.
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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 Manager Job Roles in Connecticut
See all 60+ Product Manager Jobs in Connecticut
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Search Product Manager Jobs in ConnecticutProduct Manager Jobs in Connecticut: Frequently Asked Questions
Which companies sponsor visas for product managers in Connecticut?
Several large Connecticut employers have established H-1B sponsorship histories for product manager roles. These include insurance and financial services firms such as Aetna, The Hartford, and Synchrony Financial, along with healthcare technology companies and multinational corporations headquartered in Stamford. Larger organizations with dedicated HR and legal teams are generally better positioned to manage the sponsorship process than smaller startups.
Which visa types are most common for product manager roles in Connecticut?
The H-1B is the most common visa for product managers in Connecticut, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in a relevant field. Some candidates may also be eligible for the L-1B intracompany transfer visa if moving from a foreign office of the same employer. Canadian and Mexican nationals working in product management may qualify for TN visa status under the USMCA.
Which cities in Connecticut have the most product manager sponsorship jobs?
Stamford has the highest concentration of product manager roles with sponsorship potential, driven by its dense cluster of financial services, media, and technology employers. Hartford is a strong second, particularly within insurance and healthcare organizations. New Haven has a smaller but growing presence, with employers connected to Yale's research and biotech community. Bridgeport and Greenwich also see activity from companies with New York metro operations.
How to find product manager visa sponsorship jobs in Connecticut?
Migrate Mate filters job listings specifically by visa sponsorship, making it straightforward to identify Connecticut employers actively hiring product managers who require work authorization. Rather than sorting through unfiltered postings, you can focus on roles where sponsorship is confirmed. Searching by industry, such as financial services or healthcare technology, helps narrow results to Connecticut's strongest hiring sectors for product managers.
Are there state-specific considerations for product managers seeking sponsorship in Connecticut?
Connecticut's economy skews heavily toward financial services, insurance, and healthcare, so product managers with domain expertise in those sectors tend to attract more sponsorship interest than generalist candidates. The state's proximity to New York City also means some employers operate across both markets. H-1B petitions for product managers must meet Department of Labor prevailing wage requirements, which reflect Connecticut's relatively high cost of living and competitive compensation benchmarks for the role.
What is the prevailing wage for sponsored product manager 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.