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Vice President Mainframe Modernization Jobs (NOW HIRING)

Vice President, Mainframe Storage Engineer

Lake Mary, FL ยท On-site +1

$42.75 - $55/hr

VP, Mainframe Storage Engineer At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the ...

ND ยท Hybrid

$82K - $193K/yr

Your role Lead enterprise mainframe modernization initiatives by designing resilient target ... Serve as a strategic advisor to VP-level client stakeholders to drive high-stakes modernization ...

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Vice President Mainframe Modernization information

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How much do vice president mainframe modernization jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for vice president mainframe modernization in the United States is $53.38, according to ZipRecruiter salary data. Most workers in this role earn between $47.12 and $60.58 per hour, depending on experience, location, and employer.

What does a vice president of mainframe modernization do?

A Vice President of Mainframe Modernization leads efforts to update and transform legacy mainframe systems within an organization. This executive is responsible for developing strategies to migrate or integrate mainframe workloads with modern technologies, such as cloud computing, while minimizing business disruption. They oversee cross-functional teams, manage budgets, and ensure that modernization initiatives align with the organization's goals and compliance requirements. The VP also collaborates with stakeholders to drive innovation, improve efficiency, and reduce costs associated with older mainframe systems.

What are the key skills and qualifications needed to thrive as a vice president of mainframe modernization, and why are they important?

To thrive as a Vice President of Mainframe Modernization, you need deep expertise in legacy mainframe systems, enterprise IT architecture, and a track record of leading large-scale digital transformation projects. Familiarity with mainframe migration tools, cloud platforms (such as AWS or Azure), and certifications in IT management or cloud technologies are highly valuable. Exceptional leadership, change management, and strategic communication skills set successful candidates apart in this role. These capabilities are critical for driving complex modernization initiatives, ensuring alignment with business goals, and managing cross-functional teams through significant technological change.

What are some common challenges faced by a vice president of mainframe modernization, and how can they be addressed?

A Vice President of Mainframe Modernization often faces the challenge of balancing legacy system stability with the need to adopt modern technologies. Coordinating cross-functional teams, managing change resistance, and ensuring seamless data migration are typical hurdles. Success in this role requires strong communication with both technical and business stakeholders, a strategic approach to phased modernization, and a deep understanding of both legacy and emerging systems. Building a collaborative environment and investing in ongoing team training can help address these challenges effectively.

What is the difference between Vice President Mainframe Modernization vs Vice President Cloud Infrastructure?

AspectVice President Mainframe ModernizationVice President Cloud Infrastructure
Primary FocusModernizing legacy mainframe systems to newer platformsOverseeing cloud infrastructure strategy and deployment
Required SkillsMainframe technologies, modernization strategies, project managementCloud platforms, infrastructure architecture, security protocols
Work EnvironmentIT modernization projects, legacy system teamsCloud operations, infrastructure teams
Industry UsageFinancial services, government, large enterprisesTech, finance, healthcare sectors

The Vice President Mainframe Modernization focuses on transforming legacy mainframe systems into modern architectures, while the Vice President Cloud Infrastructure manages cloud strategies and infrastructure deployment. Both roles require leadership in IT but differ in technical focus and project scope.

What cities are hiring for Vice President Mainframe Modernization jobs?

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What are the most commonly searched types of Mainframe Modernization jobs?

The most popular types of Mainframe Modernization jobs are:

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What job categories do people searching Vice President Mainframe Modernization jobs look for?

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Infographic showing various Vice President Mainframe Modernization job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $111,026 per year, or $53.4 per hour.

$290K - $320K/yr

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Job description

Job Description
ECS is seeking a Vice President of Modernization to work remotely .
The Vice President of Modernization & AI is a senior technology executive responsible for leading enterprise modernization, artificial intelligence development, automation, and digital transformation initiatives. This role will define and execute a modernization strategy that enables organizations to transition from legacy technology platforms to scalable, cloud-based, AI-enabled environments while improving operational efficiency, customer experience, agility, and long-term technology sustainability.
The VP will lead the development and deployment of AI solutions, establish enterprise AI capabilities and governance, and identify opportunities to apply generative AI, intelligent automation, machine learning, and advanced analytics across the organization. The role will also provide strategic leadership for legacy modernization efforts, including the migration and transformation of COBOL/mainframe applications to modern cloud architectures.
Primary Responsibilities
  • Develop and execute an enterprise modernization strategy aligned to business objectives, technology strategy, and long-term growth.
  • Lead the development, implementation, and scaling of AI and generative AI solutions across the enterprise.
  • Establish an AI innovation roadmap focused on measurable business outcomes, automation, productivity, revenue generation, and improved customer experiences.
  • Identify opportunities to use AI, intelligent automation, machine learning, and analytics to eliminate manual processes and modernize legacy operations.
  • Lead modernization of legacy applications, including the assessment, transformation, refactoring, and migration of COBOL/mainframe workloads to cloud-native platforms.
  • Establish repeatable approaches for application discovery, code analysis, automated code conversion, testing, data migration, and cloud deployment.
  • Leverage AI-assisted development and automation to accelerate legacy application modernization while reducing cost, risk, and migration timelines.
  • Partner with engineering, architecture, cybersecurity, data, infrastructure, and business teams to deliver modernization programs at enterprise scale.
  • Establish modern software engineering practices including DevSecOps, CI/CD, APIs, microservices, cloud-native development, and automated testing.
  • Evaluate emerging AI technologies, platforms, and vendors and determine their applicability to enterprise modernization.
  • Establish appropriate AI governance, security, privacy, responsible AI, and model-management practices.
  • Build and lead high-performing teams of AI engineers, architects, software engineers, data scientists, modernization specialists, and technology program leaders.
  • Develop business cases, investment strategies, roadmaps, and ROI measurements for modernization and AI initiatives.
  • Manage strategic technology partners and oversee delivery against performance, cost, quality, and business objectives.
  • Establish modernization metrics and executive dashboards that demonstrate progress, cost savings, productivity improvements, and business value.
  • Champion a culture of continuous innovation, experimentation, automation, and modernization across the organization.
Leadership Responsibilities
  • Lead transformation combining deep technical understanding with executive-level business acumen.
  • Move an organization from legacy technology and traditional development practices toward an AI-enabled, automated, cloud-first operating model.
  • Facilitate executive discussions on enterprise program performance, emerging risks, and strategic delivery priorities.
  • Build communities of practice that elevate program management capability across Everforth ECS.
Success Measures
Success in this role will be measured by the organization's ability to:
  • Accelerate adoption of production-ready AI solutions.
  • Generate measurable productivity, cost, and operational improvements through AI and automation.
  • Reduce reliance on legacy technology platforms.
  • Accelerate COBOL/mainframe modernization and cloud migration.
  • Reduce modernization cost and delivery timelines through AI-assisted engineering.
  • Improve application quality, security, scalability, and maintainability.
  • Establish sustainable enterprise AI capabilities and governance.
  • Create new digital capabilities and potential revenue opportunities.
  • Deliver a measurable return on modernization and AI investments.
Salary Range: $290,000 - $320,000
General Description of Benefits
Required Skills
  • Bachelor's degree in Business, Engineering, Information Technology, Management, or related field.
  • ship
  • Ability to obtain and maintain security clearance may be required (specify level if applicable)
  • 20+ years of progressive technology leadership experience, including significant experience leading enterprise modernization or digital transformation.
  • Demonstrated executive-level experience developing and deploying AI, generative AI, automation, or advanced analytics solutions.
  • Proven experience leading large-scale technology transformation programs across complex enterprise environments.
  • Strong understanding of cloud architectures and modern software engineering practices.
  • Experience with legacy application modernization and migration, preferably involving COBOL/mainframe environments.
  • Demonstrated ability to translate emerging technologies into measurable business outcomes.
  • Experience building and leading multidisciplinary technology organizations.
  • Strong understanding of cybersecurity, data governance, AI governance, and enterprise architecture.
  • Exceptional executive communication, strategic planning, vendor management, and stakeholder-management skills.

Desired Skills
  • Master's degree in Business, Engineering, Information Technology, Management, or related field preferred.
  • Lean Six Sigma or Advanced Agile certifications preferred
  • Active Secret or Top Secret clearance preferred

#EverforthECS1
ECS Federal LLC is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law.
Everforth ECS is the federal segment of Everforth , a $4B global organization with over 10,000 employees. Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies.
Our work powers mission-critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people. We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow.
We value:
  • Attracting and developing top talent and high-performing teams
  • Fostering a culture that is engaging, accountable, and mission-driven

Meet the challenge. Make a difference with Everforth ECS!