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Remote Director Machine Learning Jobs in Connecticut

Gartner

Director, Data Science

Stamford, CT · Remote

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... What You Will Need * 8-12 years of experience in data science, machine learning, or AI, with at ...

Gartner

Director, Data Science

Stamford, CT · Remote

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... What You Will Need * 8-12 years of experience in data science, machine learning, or AI, with at ...

ReSource Pro

Director Client Development

Hartford, CT · On-site +1

$120K - $205K/yr

All remote positions are based in the United States, and candidates must reside within the U.S. to ... team learning initiatives. * Foster a collaborative and solution-oriented workplace culture by ...

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Remote Director Machine Learning information

What is the difference between Remote Director Machine Learning vs Remote Data Science Manager?

AspectRemote Director Machine LearningRemote Data Science Manager
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related field; experience in ML algorithmsMaster's in Data Science, Statistics, or related; strong analytical background
Work EnvironmentLeads ML teams, develops models, and oversees deployment in tech-focused companiesManages data science teams, focuses on insights and analytics for business decisions
Employer & Industry UsageTech firms, AI startups, large enterprises with AI initiativesFinancial, healthcare, retail, and other industries leveraging data insights

While both roles require advanced education and involve data-driven work, the Remote Director Machine Learning primarily focuses on leading ML model development and deployment, whereas the Remote Data Science Manager emphasizes managing data analysis teams and deriving business insights.

What does a Remote Director of Machine Learning do?

A Remote Director of Machine Learning leads teams of data scientists and engineers to develop, implement, and oversee machine learning solutions for an organization, all while working remotely. They are responsible for setting the strategic direction for ML projects, collaborating with stakeholders, and ensuring that models align with business objectives. This role typically involves both technical leadership—such as reviewing algorithms and architectures—and managerial duties, such as mentoring staff and managing budgets. Working remotely, they use digital collaboration tools to communicate, monitor progress, and deliver results effectively.

What are the key skills and qualifications needed to thrive as a Remote Director of Machine Learning, and why are they important?

To thrive as a Remote Director of Machine Learning, you need advanced expertise in machine learning algorithms, data science, and leadership, typically supported by a graduate degree in a related field and extensive experience in deploying ML solutions. Familiarity with tools like Python, TensorFlow, PyTorch, cloud platforms, and experience with project management systems is essential, and certifications such as AWS Certified Machine Learning can be advantageous. Outstanding communication, strategic thinking, and the ability to mentor and manage distributed teams are crucial soft skills in this role. These skills and qualities are vital to successfully lead innovative ML projects, align technical teams with business goals, and drive impactful outcomes in a remote environment.

How does a Remote Director of Machine Learning typically coordinate and lead distributed teams across different time zones?

As a Remote Director of Machine Learning, effective coordination of distributed teams requires strong communication strategies, including regular video meetings, clear documentation, and use of collaborative project management tools. Leaders in this role often establish overlapping core hours and leverage asynchronous communication to accommodate various time zones. They focus on aligning goals, fostering a culture of transparency, and ensuring continuous progress through well-defined milestones. Building trust and maintaining team engagement remotely are common challenges, but successful directors prioritize mentorship, feedback, and virtual team-building activities to create a cohesive work environment.
What are the most commonly searched types of Remote Machine Learning jobs in Connecticut? The most popular types of Remote Machine Learning jobs in Connecticut are:
What are popular job titles related to Remote Director Machine Learning jobs in Connecticut? For Remote Director Machine Learning jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Remote Director Machine Learning jobs in Connecticut look for? The top searched job categories for Remote Director Machine Learning jobs in Connecticut are:
What cities in Connecticut are hiring for Remote Director Machine Learning jobs? Cities in Connecticut with the most Remote Director Machine Learning job openings:
Remote Director Machine Learning jobs near you
Principal Technical Product Manager

Principal Technical Product Manager

The Hartford Financial Services Group, Inc.

Hartford, CT • On-site, Remote

Full-time

Posted 5 days ago

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

53rd of 260 rated insurance

Job description

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

What The Hartford employees say

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Benefits

Hours and flexibility

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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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