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Vice President Operational Risk Management Jobs in Newington, CT

AMC Health

VP, Clinical Operations

Hartford, CT · On-site

Position Summary The Vice President, Clinical Operations is responsible for the strategic ... Data & Performance Management * Establish operational metrics and KPIs supporting clinical program ...

New

The Bronx

VP, External Relations

Wallingford, CT · On-site

$110 - $150/hr

Capital for Change is seeking a Vice President of External Relations. This is a full-time position ... Cultivate and manage relationships with funders and investors across public, private, and ...

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Showing results 21-40

All JobsVice President Operational Risk Management JobsVice President Operational Risk Management Jobs in Newington, CT

Vice President Operational Risk Management information

See Newington, CT salary details

$68.2K

$155.1K

$262.8K

How much do vice president operational risk management jobs pay per year?

As of Aug 23, 2026, the average yearly pay for vice president operational risk management in Newington, CT is $155,082.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $184,200.00 per year, depending on experience, location, and employer.

What does a vice president of operational risk management do?

A Vice President of Operational Risk Management is responsible for identifying, assessing, and mitigating risks that could impact the operations of an organization. They develop risk management strategies, establish policies and procedures, and ensure compliance with relevant regulations. This role involves collaborating with various departments to promote a risk-aware culture and to implement effective risk controls. Additionally, they often oversee risk assessments, incident investigations, and the reporting of risk exposures to senior leadership.

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

To thrive as a Vice President of Operational Risk Management, you need deep expertise in risk assessment, regulatory compliance, and business process analysis, typically supported by a bachelor’s or master’s degree in finance, risk management, or a related field. Familiarity with risk management frameworks (such as COSO and ISO 31000), governance tools, and certifications like FRM or ORM are highly valuable. Exceptional communication, leadership, and critical thinking skills help effectively guide teams and influence organizational culture. These competencies are crucial to proactively identifying, assessing, and mitigating operational risks that could impact an organization’s performance and reputation.

What are some common challenges faced by a vice president of operational risk management, and how are they typically addressed?

A Vice President of Operational Risk Management often faces the challenge of balancing risk mitigation with business objectives, especially in rapidly changing regulatory environments. They must ensure that risk management frameworks are robust yet adaptable, and that teams across the organization are aligned in their understanding and implementation of risk controls. Collaboration with business units, compliance, and internal audit is essential to proactively identify and address potential risks. Regular training, strong communication, and fostering a risk-aware culture help address these challenges and drive continuous improvement.

What is the difference between Vice President Operational Risk Management vs Risk Manager?

AspectVice President Operational Risk ManagementRisk Manager
CredentialsAdvanced degrees (MBA, Risk Management certifications)Bachelor's or Master's in related fields, certifications like CRM or FRM
Work EnvironmentStrategic leadership, executive meetings, policy developmentOperational risk assessments, reporting, and implementation
Employer & Industry UsageFinancial institutions, large corporations, bankingFinancial services, insurance, corporate risk departments

The Vice President of Operational Risk Management typically oversees risk strategies at an executive level, focusing on policy and strategic risk mitigation. In contrast, Risk Managers handle day-to-day risk assessments and operational controls. Both roles require risk management credentials and are vital in financial and corporate sectors, but the VP role involves higher-level decision-making and leadership responsibilities.

Vice President Operational Risk Management jobs near you
Infographic showing various Vice President Operational Risk Management job openings in Newington, CT as of August 2026, with employment types broken down into 100% Full Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $155,082 per year, or $74.6 per hour.

Vice President, Applied AI Science for Employee Benefits

The Hartford Financial Services Group, Inc.

Hartford, CT • On-site

Full-time

Re-posted 15 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

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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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