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Product Manager Machine Learning Jobs in Connecticut

The Hartford

Sr. Product Owner, Data Science

Hartford, CT · On-site +1

$111K - $166K/yr

Master's degree preferred. * 7+ years of experience in product management, with at least 3 years specifically focused on data science, machine learning, or AI products. * Proven track record of ...

New

ClifyX

Digital Product Owner

Stamford, CT · On-site

... management and collaborate with teams to deliver user-centric solutions. The role involves ... concepts (machine learning, LLMs, NLP, RAG, predictive analytics) and the end-to-end ML model ...

The Hartford

Senior AI Machine Learning Engineer

Hartford, CT · On-site

$123K - $162K/yr

The Hartfordis seeking aSenior AI Machine Learning Engineerwithin Employee Benefits Applied AI and ... production incident management. Success Profile A successful candidate will be a hands-on ...

Brooksource

Product Manager II/III

Stamford, CT · On-site

$70 - $75/hr

Experience: 5+ years of Product Management experience (PM II/ PM III level) Our client, a Fortune ... Learning Agility: Picks up new domain knowledge quickly and applies it to real decisions • ...

Gartner

Product Operations Manager

Stamford, CT · On-site

Ensure consistency in how products move from ideas to discovery, delivery, launch, and learning. * Identify friction in the Product Manager workflow and remove it using process, tooling, or ...

Kemper

Data Science Manager

Hartford, CT · Hybrid

Manages a small team of data scientists and data engineers to research, design, develop, deploy ... production. * At least 6 years of experience with statistical modeling, machine learning, and AI ...

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Showing results 21-40

All JobsProduct Machine Learning JobsProduct Manager Machine Learning JobsProduct Manager Machine Learning Jobs in Connecticut

Product Manager Machine Learning information

See Connecticut salary details

$49K

$151.6K

$187.4K

How much do product manager machine learning jobs pay per year?

As of Aug 21, 2026, the average yearly pay for product manager machine learning in Connecticut is $151,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,100.00 and $187,400.00 per year, depending on experience, location, and employer.

What does a product manager machine learning do?

A Product Manager for Machine Learning oversees the development and deployment of machine learning products or features. They work closely with data scientists, engineers, and business stakeholders to identify opportunities where machine learning can deliver value, define product requirements, and guide projects from conception to launch. Their responsibilities include setting the product vision, prioritizing features, ensuring alignment with business goals, and evaluating the impact of machine learning solutions. They also help bridge the gap between technical teams and non-technical stakeholders by translating complex concepts into actionable plans.

What are the key skills and qualifications needed to thrive as a product manager machine learning?

To thrive as a Product Manager, Machine Learning, you need a solid understanding of product lifecycle management, data analytics, and machine learning concepts—often supported by a technical degree and relevant experience. Familiarity with tools like Python, SQL, JIRA, and machine learning frameworks, as well as certifications such as PMP or Agile, is highly beneficial. Outstanding communication, stakeholder management, and problem-solving skills help you bridge the gap between technical teams and business objectives. These abilities are crucial to successfully guide ML products from ideation to launch, ensuring they deliver real value and align with organizational goals.

How does a product manager machine learning typically collaborate with data scientists and engineering teams?

Product Managers in Machine Learning work closely with both data scientists and engineering teams to translate business objectives into viable AI-driven products. They facilitate communication by defining clear requirements, prioritizing features, and ensuring that the technical roadmap aligns with user needs and company strategy. Regular meetings, progress reviews, and shared documentation are common practices to keep everyone aligned. This cross-functional collaboration is essential for addressing feasibility, optimizing models, and delivering successful products on schedule.

What is the difference between Product Manager Machine Learning vs Data Scientist?

AspectProduct Manager Machine LearningData Scientist
Primary FocusOverseeing ML product development, strategy, and deploymentAnalyzing data, building models, and deriving insights
Required SkillsProduct management, ML understanding, cross-functional collaborationStatistics, programming, data analysis
Work EnvironmentProduct teams, engineering, business stakeholdersData analysis teams, research, engineering
Common CertificationsProduct management certifications, ML coursesData science certifications, programming skills

While both roles involve machine learning, Product Manager Machine Learning focuses on guiding ML products from conception to deployment, working closely with engineering and business teams. Data Scientists primarily analyze data and develop models to extract insights. The roles complement each other but differ in their core responsibilities and skill sets.

What are popular job titles related to Product Manager Machine Learning jobs in Connecticut?

For Product Manager Machine Learning jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Product Manager Machine Learning jobs in Connecticut look for?

The top searched job categories for Product Manager Machine Learning jobs in Connecticut are:

What cities in Connecticut are hiring for Product Manager Machine Learning jobs?

Cities in Connecticut with the most Product Manager Machine Learning job openings:

Product Manager Machine Learning jobs near you
Infographic showing various Product Manager Machine Learning job openings in Connecticut as of August 2026, with employment types broken down into 84% Full Time, 11% Part Time, 2% Temporary, and 3% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $151,640 per year, or $72.9 per hour.

Sr. Product Owner, Data Science

The Hartford

Hartford, CT • On-site, Remote

$111K - $166K/yr

Full-time

Posted 2 days ago

New

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 121 frontline employees who took The Breakroom Quiz

56th of 311 rated insurance

Job description

Sr. Consultant, Asset Owner - GF07AE

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.

We are seeking a highly experienced and strategic Sr. Product Owner to lead the development and enhancement of our data science products and platforms. This role will bridge the gap between business needs and technical execution, ensuring our data science initiatives deliver maximum value to The Hartford.
Job Responsibilities:

  • Define and communicate the product vision, strategy, and roadmap for data science initiatives, aligning with company-wide goals and stakeholder requirements.
  • Translate complex business problems and user needs into clear, concise, and actionable product requirements and user stories for data scientists and engineers.
  • Prioritize the product backlog based on business value, technical feasibility, and strategic impact, ensuring a continuous delivery of high-value features.
  • Collaborate closely with data scientists, machine learning engineers, and other technical teams throughout the product lifecycle, from ideation to deployment and post-launch analysis.
  • Conduct market research, competitor analysis, and customer feedback analysis to identify opportunities for new data products and enhancements to existing ones.
  • Act as the primary liaison between business stakeholders, data science teams, and other relevant departments, ensuring clear communication and alignment.
  • Define and track key performance indicators (KPIs) for data science products, analyzing performance and iterating based on results.
  • Champion agile methodologies and best practices within the data science product development process.
  • Mentor and guide junior product owners or business analysts on data science projects.
  • Stay abreast of industry trends, emerging technologies, and best practices in data science and product management.


Qualifications:

  • Bachelor's degree in Computer Science, Data Science, Engineering, Business, or a related quantitative field; Master's degree preferred.
  • 7+ years of experience in product management, with at least 3 years specifically focused on data science, machine learning, or AI products.
  • Proven track record of successfully launching and managing data-driven products from conception to end-of-life.
  • Strong understanding of data science methodologies, machine learning algorithms, and big data technologies.
  • Experience with agile development methodologies (Scrum, Kanban) and associated tools (Rally).
  • Excellent communication, interpersonal, and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
  • Demonstrated ability to influence and lead cross-functional teams without direct authority.
  • Strong analytical and problem-solving skills, with a data-driven approach to decision-making.
  • Experience in the insurance or financial services industry is a significant plus.

This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday). Candidates who do not live near an office should maintain their current work arrangement with the expectation of coming into the office as business needs arise

Candidate must be authorized to work in the US without company sponsorship.The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

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:

$111,200 - $166,800

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us|Our Culture|What It's Like to Work Here|Perks & Benefits

What The Hartford employees say

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About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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