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Vice President Manufacturing Jobs in Springfield, MA

Robert Half

VP of Technology

Windsor, CT · On-site

We are looking for a strategic technology executive to lead the alignment of data, digital systems, and operational performance across our organization in Connecticut. This leadership role will work ...

RTX

Senior Technical Fellow - Coatings

East Hartford, CT · On-site

$186K - $353K/yr

P&W is seeking an exceptional candidate to fill the role of Senior Technical Fellow - Coatings, reporting to the Vice President, Manufacturing & Industrial Engineering. These coating processes ...

CFS

Controller

Hartford, CT · Hybrid

$165K/yr

Highly visible reporting line to VP Finance ; strong potential for cross-regional/multifunctional ... Manufacturing or CPG industries. * Experience with a robust ERP system. #INJUL2026 #LI-SP1

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All JobsVice President Manufacturing JobsVice President Manufacturing Jobs in Springfield, MA

Vice President Manufacturing information

See Springfield, MA salary details

$121.6K

$184.8K

$310.9K

How much do vice president manufacturing jobs pay per year?

As of Aug 23, 2026, the average yearly pay for vice president manufacturing in Springfield, MA is $184,833.00, according to ZipRecruiter salary data. Most workers in this role earn between $154,000.00 and $196,800.00 per year, depending on experience, location, and employer.

What does a vice president of manufacturing do?

A Vice President of Manufacturing oversees the production operations within a company, ensuring that manufacturing processes run efficiently, safely, and meet quality standards. They are responsible for developing strategies to improve productivity, reduce costs, and maintain compliance with regulations. This role involves managing teams, coordinating with other departments, and implementing new technologies or processes to enhance manufacturing performance. The Vice President of Manufacturing also plays a key role in budgeting, planning, and scaling operations to meet organizational goals.

What are the key skills and qualifications needed to thrive as a vice president of manufacturing?

To thrive as a Vice President of Manufacturing, you need extensive experience in production management, process optimization, and a strong educational background in engineering or business. Familiarity with ERP systems, lean manufacturing methodologies, and relevant industry certifications such as Six Sigma or PMP is highly valuable. Exceptional leadership, strategic thinking, and communication skills set top performers apart by enabling them to manage large teams and drive organizational change. These capabilities are crucial for ensuring operational efficiency, maintaining product quality, and achieving business growth in a competitive market.

What are the main challenges a vice president of manufacturing typically faces when leading large-scale production operations?

A Vice President of Manufacturing often navigates challenges such as optimizing production efficiency, managing supply chain disruptions, and ensuring consistent product quality across multiple facilities. Balancing cost control with innovation, meeting regulatory compliance, and driving continuous improvement initiatives are also key aspects. Success in this role requires strong leadership to foster cross-functional collaboration, especially with engineering, quality assurance, and procurement teams, while adapting quickly to changes in market demand or technology.

What is the difference between Vice President Manufacturing vs Director of Manufacturing?

AspectVice President ManufacturingDirector of Manufacturing
ResponsibilitiesStrategic planning, executive leadership, overall manufacturing operationsOversees daily production, manages teams, implements policies
Required CredentialsBachelor's/Master's in Engineering, Business; extensive experienceBachelor's in Engineering or related field; significant manufacturing experience
Work EnvironmentExecutive office, corporate strategy meetingsManufacturing plants, production floors
Industry UsageCommon in large corporations, executive levelFound in mid to large manufacturing companies

The Vice President Manufacturing focuses on strategic leadership and overall company direction, while the Director of Manufacturing handles daily operations and team management. Both roles require relevant engineering or business credentials, but the VP is more involved in high-level planning, whereas the Director manages on-the-ground production activities.

What are the most commonly searched types of Manufacturing jobs in Springfield, MA?

The most popular types of Manufacturing jobs in Springfield, MA are:

What job categories do people searching Vice President Manufacturing jobs in Springfield, MA look for?

The top searched job categories for Vice President Manufacturing jobs in Springfield, MA are:

What cities near Springfield, MA are hiring for Vice President Manufacturing jobs?

Cities near Springfield, MA with the most Vice President Manufacturing job openings:

Vice President Manufacturing jobs near you
Infographic showing various Vice President Manufacturing job openings in Springfield, MA as of August 2026, with employment types broken down into 87% Full Time, 7% Part Time, 4% Contract, and 2% Nights. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $184,833 per year, or $88.9 per hour.

Vice President, Applied AI Science for Employee Benefits

The Hartford Financial Services Group, Inc.

Hartford, CT • On-site

Full-time

Re-posted 16 days ago

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

VP Data Science - GD04AE
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.
The Hartford is hiring a Vice President, Applied AI - Employee Benefits to define and lead the next generation of AI-driven transformation across the business. This role is responsible for driving Applied AI and Data Science strategy, execution, and governance across enrollment, billing, customer service, and operational functions, delivering measurable improvements in growth, efficiency, accuracy, and customer experience. The leader will oversee a diverse portfolio of Machine Learning, Generative AI, Agentic AI, and predictive analytics solutions while influencing enterprise AI strategy, championing responsible AI practices, and building organizational capability to accelerate The Hartford's AI-powered future.
This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office locations (Hartford, CT; Chicago, IL; Columbus, OH; Charlotte, NC) will have the expectation of working in an office 3 days a week. Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Candidates must be eligible to work in the US without company sponsorship.
Primary Job Responsibilities
  • Own Applied AI strategy and integrated data science outcomes across Employee Benefits including employer lifecycle, enrollment, billing, service delivery, and operational functions, ensuring alignment to enterprise AI priorities while tailoring execution to domain-specific needs.
  • Define domain-level Applied AI strategy and influence enterprise AI direction through evidence-based recommendations, technical insight, and cross-functional alignment.
  • Lead executive decision-making driving trade-offs across quality, risk, cost, scalability, and time-to-value for Applied AI and data science initiatives.
  • Drive transformation of Employee Benefits processes through Applied AI and data science, including enrollment optimization, service automation, contact center intelligence, billing accuracy, and employer/member experience across the full lifecycle.
  • Lead application and execution of the enterprise Applied AI operating model within domain scope, ensuring teams effectively operate within defined decision rights, engagement models, and delivery governance across multiple portfolios.
  • Ensure consistent adherence to enterprise AI governance frameworks across portfolios, including application of evaluation, monitoring, model risk management, and responsible AI practices in alignment with enterprise standards and regulatory expectations.
  • Set direction for evaluation and performance measurement across solutions, spanning generative and agentic AI, retrieval-augmented systems, and traditional models including persistency, enrollment forecasting, service demand prediction, billing accuracy, and operational performance optimization.
  • Oversee end-to-end Applied AI and data science lifecycle across portfolios, from problem framing through model development, validation, deployment, monitoring, and continuous improvement.
  • Lead the identification and integration of new data sources, AI tooling, and quantitative methods into Employee Benefits workflows, improving service delivery, accuracy, scalability, and cost efficiency.
  • Oversee domain-level AI risk posture and model governance, ensuring alignment with Legal, Compliance, Model Risk, Privacy, Security, and Audit partners and maintaining readiness for regulatory review.
  • Drive cross-line of business prioritization, investment planning, and workforce strategy, aligning initiatives to measurable business outcomes and capacity constraints.
  • Champion reuse, standardization, and componentization of Applied AI and data science assets, ensuring alignment with enterprise AI platform strategy and enabling scalable deployment across portfolios.
  • Partner with Employee Benefits, Technology, and Service leaders to embed Applied AI into EB strategies.
  • Design and scale the Applied AI leadership system across supported lines of business, including succession pipelines, capability frameworks, and long-term talent architecture.
  • Define and lead a domain-level Applied AI research and innovation agenda, balancing near-term delivery with exploration of emerging techniques, tools, and capabilities.
  • Monitor external AI, healthcare benefits, and regulatory trends (e.g., HIPAA, ERISA, data privacy), industry practices, and competitor capabilities to maintain competitive positioning and inform strategic direction.

Skills
  • Demonstrated ability to lead Applied AI and data science strategy and execution across multiple lines of business or complex domains within a regulated enterprise environment.
  • Proven experience leading leaders of leaders and scaling organizational capability across multiple teams, portfolios, and disciplines including Applied AI and data science.
  • Strong technical and regulatory fluency across Applied AI, including generative and agentic AI, retrieval-augmented systems, evaluation and monitoring frameworks, and production AI operations.
  • Deep expertise in data science and quantitative methods, including forecasting, operational optimization, service analytics, demand modeling, persistency analysis, and cost/efficiency modeling.
  • Applied understanding of unstructured data and retrieval approaches, as well as structured data modeling and feature engineering to support business decision-making.
  • Strong expertise in AI governance, model risk management, and responsible AI practices, with the ability to apply these consistently across both AI systems and traditional models.
  • Demonstrated ability to drive business process transformation through the application of data science and Applied AI, including automation, optimization, and decision support.
  • Ability to influence senior executives and enterprise forums through clear, data-driven communication of technical trade-offs, risks, and business impact.
  • Experience driving cross-LOB prioritization, investment decisions, and workforce planning aligned to measurable outcomes at scale.
  • Strong business acumen with the ability to connect analytical outputs to Employee Benefits outcomes, including employer growth, enrollment, persistency, billing accuracy, service experience, and operational efficiency.
  • Ability to balance long-term strategic direction with near-term execution and delivery effectiveness across a diverse portfolio of use cases.
  • Strong judgment navigating regulatory, operational, and technical complexity across multiple domains and lines of business.
  • Experience applying AI to service operations

Education, Experience, Certifications and Licenses
  • 20+ years of applicable experience in Applied AI, data science, machine learning, or related quantitative fields.
  • 10+ years leading large, complex organizations, including leadership of senior leaders across multiple teams, portfolios, or domains.
  • Demonstrated experience operating at VP level, influencing enterprise direction while owning outcomes across multiple lines of business or domains.
  • Strong experience applying data science and AI within Employee Benefits, healthcare-related domains, or complex service-heavy insurance operations preferred.
  • Bachelor's degree required; Master's or Ph.D. in a quantitative, technical, actuarial, or business field preferred and may offset experience.

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:
$225,600 - $338,400
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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Hours and flexibility

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Get the full story on Breakroom

Hartford logo

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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