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Virtual Aws Machine Learning Jobs in Springfield, MA

The Whiteside Agency

Senior Data Engineer

Hartford, CT · On-site

$139K - $230K/yr

... Machine Learning, and AI initiatives across Travelers. As a Senior Engineer, you serve as a ... AWS Certified Data Analytics, Azure Data Engineer, or GCP Professional Data Engineer * Experience ...

Deloitte

Google AI Lead Architect

Hartford, CT · On-site

$55.75 - $76.50/hr

Design and deploy applications using Cloud Native principles on a hyperscaler platform (AWS, Azure ... Preferred : • Google Professional Machine Learning Engineer certification or the equivalent ML ...

The Whiteside Agency

Senior Data & AI Engineer

Hartford, CT · On-site

$139K - $230K/yr

... Machine Learning and business intelligence/insights. What Will You Do? * Build and operationalize ... using AWS native services and/or Databricks as the primary compute and orchestration platform ...

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Principal Technical Product Manager

Principal Technical Product Manager

The Hartford Financial Services Group, Inc.

Hartford, CT • On-site, Remote

Full-time

Posted 13 days ago

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 104 frontline employees who took The Breakroom Quiz

52nd of 261 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

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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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