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Vp Credit Risk Jobs in Bellingham, WA (NOW HIRING)

EnerSys

VP Enterprise AI Enablement

Bellingham, WA · On-site

$275K - $315K/yr

Job Purpose The Vice President, Enterprise AI Enablement is accountable for defining, governing ... Establish enterprise standards for responsible AI, data usage, security, privacy, and risk ...

ASP Team

SVP of Finance

Ferndale, WA · On-site

$150 - $250/hr

The SVP of Finance serves as a strategic partner to the CEO in this #1 level position, driving ... Lead financial planning, forecasting, risk management, and capital allocation strategies. * Oversee ...

Grizzly Industrial Inc

Vice President of IT

Bellingham, WA · On-site

$150K - $200K/yr

Strong understanding of cybersecurity risk management, disaster recovery, and business continuity planning. * Exceptional leadership, communication, organizational, analytical, and problem-solving ...

All JobsVp Credit Risk JobsVp Credit Risk Jobs in Bellingham, WA

Vp Credit Risk information

See Bellingham, WA salary details

$89.9K

$164.5K

$248.9K

How much do vp credit risk jobs pay per year?

As of Jul 26, 2026, the average yearly pay for vp credit risk in Bellingham, WA is $164,549.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,800.00 and $184,500.00 per year, depending on experience, location, and employer.

What are some common challenges a VP of Credit Risk faces when balancing risk management and business growth objectives?

As a VP of Credit Risk, one of the main challenges is maintaining a delicate balance between safeguarding the organization's financial health and enabling revenue growth. This often involves developing risk frameworks that allow for prudent lending while supporting business expansion. You will frequently collaborate across departments—such as sales, underwriting, and compliance—to align risk policies with strategic goals and adapt to changing market conditions. Navigating regulatory requirements and responding to shifts in economic environments are also key aspects of the role.

What does a VP Credit Risk do?

A VP Credit Risk is responsible for overseeing the credit risk management strategies and policies within a financial institution or corporation. They analyze and assess the creditworthiness of borrowers, manage portfolios to minimize risk exposure, and ensure compliance with regulatory standards. These professionals also work closely with senior management to develop risk models and recommend actions that align with the organization's risk appetite. Their role is critical in maintaining the financial health and stability of the organization.

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

To thrive as a VP of Credit Risk, you need deep expertise in credit analysis, risk management, and financial modeling, typically supported by an advanced degree in finance or a related field. Familiarity with credit risk assessment tools, regulatory compliance systems, and data analytics platforms such as SAS or Moody's RiskCalc is crucial. Strong leadership, strategic thinking, and communication skills help you effectively manage teams and collaborate with stakeholders. These skills are essential for making informed credit decisions, minimizing losses, and ensuring regulatory compliance in complex financial environments.

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

AspectVp Credit RiskCredit Analyst
Required CredentialsBachelor's degree, often MBA or related certifications, experience in risk managementBachelor's degree, finance or related field, relevant certifications optional
Work EnvironmentStrategic, leadership-focused, overseeing credit risk policiesAnalytical, detail-oriented, assessing individual credit applications
Employer & Industry UsageFinancial institutions, banks, large corporationsBanks, lending companies, financial services

The Vp Credit Risk typically holds a senior leadership role focused on managing and overseeing credit risk strategies across an organization, requiring extensive experience and certifications. In contrast, a Credit Analyst primarily conducts detailed credit assessments and analysis at a more operational level. Both roles are vital in the credit process but differ significantly in scope, responsibilities, and seniority.

What are the most commonly searched types of Credit Risk jobs in Bellingham, WA? The most popular types of Credit Risk jobs in Bellingham, WA are:
What are popular job titles related to Vp Credit Risk jobs in Bellingham, WA? For Vp Credit Risk jobs in Bellingham, WA, the most frequently searched job titles are:
What job categories do people searching Vp Credit Risk jobs in Bellingham, WA look for? The top searched job categories for Vp Credit Risk jobs in Bellingham, WA are:
Vp Credit Risk jobs near you
Infographic showing various Vp Credit Risk job openings in Bellingham, WA as of July 2026, with employment types broken down into 81% Full Time, and 19% Part Time. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $164,549 per year, or $79.1 per hour.
VP Enterprise AI Enablement

VP Enterprise AI Enablement

EnerSys

Bellingham, WA • On-site

$275K - $315K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

EnerSys rating

7.5

Company rating: 7.5 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

259th of 535 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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