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Vp Operational Risk Jobs in Connecticut (NOW HIRING)

EnerSys

VP Enterprise AI Enablement

Hartford, CT · On-site

$275K - $315K/yr

Job Purpose The Vice President, Enterprise AI Enablement is accountable for defining, governing ... operational efficiency, cost reduction, quality improvement, risk mitigation, revenue enablement ...

Valitana LLC

Vice President of Marketing

Stamford, CT · On-site

The VP of Marketing will set the strategic direction for brand, demand generation, events, content ... Build the marketing operations and analytics foundation - attribution, reporting, and tech stack ...

Valitana LLC

Vice President of Marketing

Stamford, CT · On-site

$140K - $170K/yr

The VP of Marketing will set the strategic direction for brand, demand generation, events, content ... Build the marketing operations and analytics foundation - attribution, reporting, and tech stack ...

Valitana LLC

Vice President of Marketing

Stamford, CT · On-site

$140K - $170K/yr

The VP of Marketing will set the strategic direction for brand, demand generation, events, content ... Build the marketing operations and analytics foundation -- attribution, reporting, and tech stack ...

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All JobsVp Operational Risk JobsVp Operational Risk Jobs in Connecticut

Vp Operational Risk information

See Connecticut salary details

$65.2K

$148.2K

$251.1K

How much do vp operational risk jobs pay per year?

As of Jul 15, 2026, the average yearly pay for vp operational risk in Connecticut is $148,191.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,900.00 and $176,000.00 per year, depending on experience, location, and employer.

How does a VP of Operational Risk typically collaborate with other departments to manage risk across the organization?

A VP of Operational Risk works closely with leaders from departments such as Compliance, IT, Audit, and Business Operations to identify, assess, and mitigate risks throughout the organization. This collaboration often involves regular risk assessments, cross-functional meetings, and the development of risk mitigation strategies that align with business objectives. Effective communication and relationship-building skills are crucial, as the VP must ensure that risk management practices are integrated into daily operations and that all departments are aligned with the organization’s risk appetite. This collaborative approach helps build a strong risk culture and ensures that issues are identified and addressed proactively.

What are the key skills and qualifications needed to thrive as a VP of Operational Risk, and why are they important?

To thrive as a VP of Operational Risk, you need a deep understanding of risk management frameworks, regulatory requirements, and industry best practices, typically supported by a bachelor's or master's degree in finance, business, or a related field. Familiarity with risk assessment tools, data analytics platforms, and certifications like FRM or CRM are commonly expected. Exceptional leadership, strategic thinking, and strong communication skills are crucial for influencing stakeholders and managing cross-functional teams. These skills are essential for proactively identifying, assessing, and mitigating operational risks to protect the organization's assets and reputation.

What is the difference between Vp Operational Risk vs Vp Credit Risk?

AspectVp Operational RiskVp Credit Risk
Primary focusManaging operational risks, including processes, systems, and complianceManaging credit risk, including borrower assessment and credit portfolio management
Required credentialsRisk management certifications (e.g., FRM, PRM), relevant finance or risk degreesCredit analysis certifications, finance or banking degrees
Work environmentBanking, financial services, large corporationsBanking, financial institutions, lending organizations

While both roles involve risk management, the Vp Operational Risk focuses on internal processes and compliance, whereas the Vp Credit Risk concentrates on assessing and managing credit exposure. Understanding these differences helps professionals target their skills and career paths effectively.

What are VP Operational Risk?

A VP Operational Risk, or Vice President of Operational Risk, is a senior executive responsible for identifying, assessing, and managing risks that arise from an organization's day-to-day operations. They develop risk management strategies, ensure compliance with regulations, and work to minimize losses from process failures, fraud, or other business disruptions. VPs in this role often lead teams, collaborate with other departments, and report risk exposures to top management. Their expertise helps ensure the organization's stability and protects its reputation.
What are the most commonly searched types of Operational Risk jobs in Connecticut? The most popular types of Operational Risk jobs in Connecticut are:
What cities in Connecticut are hiring for Vp Operational Risk jobs? Cities in Connecticut with the most Vp Operational Risk job openings:
Vp Operational Risk jobs near you
Infographic showing various Vp Operational Risk job openings in Connecticut as of July 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $148,191 per year, or $71.2 per hour.
VP Enterprise AI Enablement

VP Enterprise AI Enablement

EnerSys

Hartford, CT • On-site

$275K - $315K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago

EnerSys rating

7.5

Company rating: 7.5 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

257th of 527 rated manufacturers

Job description

EnerSys is a global leader in stored energy solutions for industrial applications. We have over thirty manufacturing and assembly plants worldwide servicing over 10,000 customers in more than 100 countries. Worldwide headquarters are located in Reading, PA, USA with regional headquarters in Europe and Asia. We complement our extensive line of Motive Power and Energy Systems with a full range of integrated services and systems. With sales and service locations throughout the world, and over 100 years of battery experience, EnerSys is the power/full solution for stored DC power products. 

What We're Offering

  • Paid time off plus paid holidays
  • Medical/dental/vision insurance plan
  • Life insurance, short/long term disability, tuition reimbursement, flex spending, and employee stock purchase plan
  • 401K plan
  • Culture: We value and strive for excellence in all that we do through innovative technology by creating long lasting relationships with our stakeholders, co-workers, and customers. We continually strive to foster teamwork, engagement and enhance our employee's skills and competence by providing appropriate training.

Compensation Range: $275,000-$315,000 

Compensation may vary based on applicant's work experience, education level, skill set, and/or location.  

Job Purpose

The Vice President, Enterprise AI Enablement is accountable for defining, governing, and scaling EnerSys' enterprise artificial intelligence strategy and execution model to drive measurable business value, competitive advantage, and workforce transformation. This role owns the enterprise AI operating model endtoend, transitioning from external advisory support to a fully embedded, internally led capability and ensures AI is effectively integrated into EnerSys' global business strategy, digital platforms, risk framework, and talent agenda.

Reporting to the CIO, the VP is the enterprise owner for AI governance, investment prioritization, value realization, and adoption. The role will work shoulder-to-shoulder with the Executive Leadership Team (ELT), line of business presidents, and functional leaders (IT, Data, Cybersecurity, Legal, HR, Finance, Operations, and Commercial teams) to align strategy, remove barriers, and scale solutions across regions.

Essential Duties and Responsibilities

Other duties may be assigned. 
   Serve as EnerSys' executive leader and single point of accountability for enterprise AI strategy, execution, and outcomes.
   Translate enterprise and business strategies into a clear, multiyear AI vision and roadmap aligned with growth, productivity, quality, safety, and risk objectives.
   Advise the CIO, ELT, and Board on AI trends, risks, opportunities, and competitive implications.
   Represent EnerSys externally with strategic AI partners, technology providers, and industry forums.


AI Operating Model, Governance & Investment Management
   Design, implement, and continuously evolve the enterprise AI operating model, including governance forums, funding and intake processes, prioritization methods, and decision rights.
   Chair and run the Executive AI Steering Committee, ensuring disciplined decision making, clear accountability, and execution follow through; set agendas, align key stakeholders, and communicate decisions and actions clearly.
   Establish enterprise standards for responsible AI, data usage, security, privacy, and risk management in partnership with Legal, Cybersecurity, IT Architecture, HR, and Compliance.
   Own AI investment governance, ensuring alignment with capital planning, transformation funding, and enterprise portfolio priorities.

Portfolio Leadership & Value Realization
   Own the global AI use case portfolio and prioritization framework, balancing short term value delivery with long term strategic capability building.
   Ensure AI initiatives progress efficiently from ideation to pilot to scaled production-eliminating "pilot only" stagnation.
   Define, track, and report enterprise AI value metrics, including operational efficiency, cost reduction, quality improvement, risk mitigation, revenue enablement, and customer impact.
   Regularly recalibrate the AI roadmap based on realized outcomes, business performance, and evolving priorities.

Enterprise Execution & Cross Functional Orchestration
   Orchestrate cross-functional delivery across IT, data, digital platforms, business units, and external partners-creating shared plans, clear ownership, and fast decisions.
   Resolve enterprise level dependencies and escalations impacting delivery, adoption, or value realization by facilitating trade-off discussions, aligning decision makers, and driving timely, documented outcomes.
   Ensure AI initiatives are integrated with core enterprise platforms (ERP, data environment, digital products) rather than delivered as isolated solutions.
   Build scalable execution playbooks, delivery standards, and reusable components to accelerate adoption across regions and functions.

Change Leadership, Talent & Adoption
   Partner with HR and Communications to lead enterprise-wide change management, AI literacy, and workforce enablement.
   Sponsor AI capability building, including training programs, citizen developer models, communities of practice, and leadership education.
   Drive cultural adoption by positioning AI as a core business capability embedded in how work gets done-not as a technology experiment.
   Support workforce transformation planning, including role evolution, ethical considerations, and future skills development.


Organization & Leader Development
   Build, lead, and develop a high performing enterprise AI organization with clear roles, succession, and career paths.
   Set performance expectations, accountability, and development plans for direct and indirect reports.
   Foster a strong culture of accountability, collaboration, and execution discipline across the AI ecosystem.

Qualifications

Experience & Qualifications
   10+ years of experience leading enterprise scale transformation, digital programs, or technology enabled business initiatives.
   Proven executive experience building and operating enterprise-level capabilities in a global environment, aligning multiple functions and regions to deliver shared outcomes.
   Demonstrated success partnering with executive leaders and Boards on investment, governance, and transformation outcomes.
   Demonstrated ability to influence senior stakeholders, facilitate tough trade-offs, and communicate clearly across technical and non-technical audiences.
   Strong background working with consulting and technology partners and transitioning ownership into sustainable internal operating models.
   Deep exposure to AI, advanced analytics, automation, or data driven platforms in complex, regulated, or industrial environments.
   Manufacturing, industrial, or global operating model experience is strongly preferred.

Core Leadership Competencies
   Enterprise leadership and executive influence
   Strategic portfolio and investment management
   Governance, risk, and ethical AI stewardship
   Change leadership and workforce enablement
   Strong business and financial acumen
   Ability to operate with ambiguity and drive results at scale
   Highly collaborative, relationship-driven leadership style with strong stakeholder management, facilitation, and conflict-resolution skills
   Executive communication excellence: ability to synthesize complex topics into concise narratives, decision memos, and compelling change messages
 

TRAVEL REQUIRED - May be significant at times

EnerSys provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.  

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We use artificial intelligence to screen, assess and select applicants for open positions, including for the purposes of reviewing and ranking application materials and scoring answers to application questions. Accordingly, decisions about your application and eligibility for employment with EnerSys may be made based exclusively on the automated processing of the personal information that you submit in your application materials.

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