1

Vice President Operational Risk Management Jobs in Michigan

... Operations, and Commercial teams) to align strategy, remove barriers, and scale solutions across ... risk management in partnership with Legal, Cybersecurity, IT Architecture, HR, and Compliance. Own ...

... operational journeys, owning cross-company product outcomes and driving high-impact, customer ... Lead and develop leaders across Product Management and Product Design. * Build a high-performance ...

... operational journeys, owning cross-company product outcomes and driving high-impact, customer ... Lead and develop leaders across Product Management and Product Design. * Build a high-performance ...

Track financial and operational performance for overall business unit * Develop and maintain ... Manage, influence, recognize, motivate, coach, and develop a strong team of manufacturing employees

Provide direct leadership over system-wide accounting operations, including general ledger ... risk, and control matters Partner with executives across the enterprise to strengthen end-to-end ...

next page

Showing results 1-20

Vice President Operational Risk Management information

See Michigan salary details

$59.7K

$135.8K

$230.1K

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

As of Jul 13, 2026, the average yearly pay for vice president operational risk management in Michigan is $135,777.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,700.00 and $161,200.00 per year, depending on experience, location, and employer.

How much does a VP of risk management make?

A Vice President of Operational Risk Management typically earns between $120,000 and $200,000 annually, with total compensation often including bonuses and benefits. Salaries vary based on industry, company size, location, and experience, and the role requires strong analytical skills and risk assessment expertise.

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 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, and why are they important?

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 is the salary of VP risk?

The salary of a Vice President in Operational Risk Management typically ranges from $120,000 to $200,000 annually, depending on the industry, location, and experience level. Senior VPs or those in major financial centers may earn higher compensation, often supplemented with bonuses and benefits. Certifications like FRM or ORM can also influence salary levels.

What does a VP of risk management do?

A Vice President of Risk Management oversees an organization's strategies to identify, assess, and mitigate operational risks. They develop policies, implement risk controls, and collaborate with other departments to ensure compliance and minimize potential losses, often using risk management tools and data analysis. This role requires strong leadership, industry knowledge, and often relevant certifications such as FRM or CRM.

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.

What cities in Michigan are hiring for Vice President Operational Risk Management jobs? Cities in Michigan with the most Vice President Operational Risk Management job openings:
VP Enterprise AI Enablement

VP Enterprise AI Enablement

EnerSys

Novi, MI

$275K - $315K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


EnerSys rating

7.5

Company rating: 7.5 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

256th 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.  

Know Your Rights

Know Your Rights (Spanish)

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.


What EnerSys employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom