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Vice President Technology Risk Management Jobs in Iowa

EnerSys

VP Enterprise AI Enablement

Ackworth, IA

$275K - $315K/yr

Job Purpose The Vice President, Enterprise AI Enablement is accountable for defining, governing ... risk management in partnership with Legal, Cybersecurity, IT Architecture, HR, and Compliance. Own ...

Landus

Vice President of Sales

Boone, IA

The VP of Sales is responsible for developing and coaching the Territory Business Manager team ... Support successful commercialization of new products and technologies. Ensure consistent execution ...

Russell Co

Vice President, Finance

Davenport, IA · On-site

Project Finance & Job Cost Management • Manage project-level financial tracking, including job ... Systems, Process & Technology • Champion continuous improvement of financial systems, workflows ...

Landus Cooperative

Vice President of Sales

Boone, IA · On-site

The VP of Sales is responsible for developing and coaching the Territory Business Manager team ... and technologies. · Ensure consistent execution of sales processes and customer engagement ...

Landus

Vice President of Sales

Boone, IA · On-site

The VP of Sales is responsible for developing and coaching the Territory Business Manager team ... and technologies. • Ensure consistent execution of sales processes and customer engagement ...

Berkley

Vice President Human Resources

Urbandale, IA · On-site

Responsibilities The Vice President of Human Resources (VP HR) serves as a strategic partner to ... management, organizational development, and change leadership. • Familiarity with HR technology ...

Berkley

Vice President Human Resources

Urbandale, IA · Hybrid

Responsibilities The Vice President of Human Resources (VP HR) serves as a strategic partner to ... management, organizational development, and change leadership. Familiarity with HR technology ...

Berkley

Vice President Human Resources

Urbandale, IA · Hybrid

The Vice President of Human Resources (VP HR) serves as a strategic partner to senior leadership ... management, organizational development, and change leadership. • Familiarity with HR technology ...

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Vice President Technology Risk Management information

How does a Vice President of Technology Risk Management typically collaborate with other departments to ensure comprehensive risk oversight?

A Vice President of Technology Risk Management works closely with various departments such as IT, compliance, legal, and business units to identify, assess, and mitigate technology-related risks. This collaboration often involves leading cross-functional risk committees, facilitating regular risk assessments, and ensuring that risk management frameworks align with organizational objectives. Effective communication and partnership with stakeholders help ensure that emerging risks are addressed proactively and that risk mitigation strategies are integrated into business processes. This role requires both strategic oversight and hands-on involvement to promote a strong risk-aware culture throughout the organization.

What are the key skills and qualifications needed to thrive as a Vice President Technology Risk Management, and why are they important?

To thrive as a Vice President Technology Risk Management, you need deep expertise in IT risk assessment, regulatory compliance, and cybersecurity frameworks, usually supported by a relevant degree and significant leadership experience. Familiarity with risk management tools (such as Archer or MetricStream), common control frameworks (like NIST, ISO 27001), and certifications (such as CISSP, CISM, or CRISC) is highly valuable. Strong leadership, strategic thinking, and effective communication are critical soft skills for managing teams and influencing stakeholders. These competencies are essential to mitigate technology risks, ensure regulatory compliance, and safeguard organizational assets in a constantly evolving threat landscape.

What is a Vice President of Technology Risk Management?

A Vice President of Technology Risk Management is a senior executive responsible for identifying, assessing, and mitigating technology-related risks within an organization. This role oversees the development and implementation of risk management policies, ensures regulatory compliance, and collaborates with IT, cybersecurity, and business units to protect the organization’s digital assets. The VP also leads teams in conducting risk assessments, managing incident responses, and reporting to senior leadership on risk exposure and mitigation strategies.

What is the difference between Vice President Technology Risk Management vs Chief Information Security Officer?

AspectVice President Technology Risk ManagementChief Information Security Officer
Primary FocusOverseeing technology risk policies, compliance, and mitigation strategies across IT systemsLeading cybersecurity strategy, threat management, and security operations
CertificationsRisk management, cybersecurity, or related certifications (e.g., CRISC, CISSP)CISSP, CISM, or equivalent security certifications
Work EnvironmentStrategic risk oversight within IT departments, collaborating with risk and compliance teamsSecurity operations centers, incident response teams, and executive security leadership
Industry UsageCommon in financial, healthcare, and technology sectors

The Vice President Technology Risk Management focuses on identifying and mitigating technology-related risks across the organization, while the Chief Information Security Officer primarily manages cybersecurity threats and security policies. Both roles require risk management certifications and work closely with executive teams, but their core responsibilities differ in scope and focus.

What are the most commonly searched types of Technology Risk Management jobs in Iowa? The most popular types of Technology Risk Management jobs in Iowa are:
What job categories do people searching Vice President Technology Risk Management jobs in Iowa look for? The top searched job categories for Vice President Technology Risk Management jobs in Iowa are:
What cities in Iowa are hiring for Vice President Technology Risk Management jobs? Cities in Iowa with the most Vice President Technology Risk Management job openings:
Vice President Technology Risk Management jobs near you
VP Enterprise AI Enablement

VP Enterprise AI Enablement

EnerSys

Ackworth, IA

$275K - $315K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 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 528 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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