VP, Head of Priority Transformation

Role overview

This senior leadership role is responsible for defining and delivering the organization’s most important transformation priorities across a large and complex enterprise in the United States. The position brings together strategy, operations, technology, and organizational change to convert enterprise direction into measurable execution at scale. It involves leading end-to-end transformation efforts, including AI-enabled initiatives and workflow redesign, while ensuring alignment across business units and enabling functions.

You will be expected to establish a strong transformation delivery capability from the ground up, with clear governance, PMO discipline, and cross-functional coordination. The role carries significant visibility and requires a combination of strategic judgment, hands-on delivery, and the ability to operate effectively in a matrixed and regulated environment.

Key accountabilities

• Lead the development, execution, and scaling of high-priority transformation programs in the United States, including AI-led and reimagined work initiatives.
• Create and run a centralized transformation PMO with governance routines, reporting standards, risk controls, and executive-level transparency.
• Align business, technology, data, and enabling teams so that workflow transformation is integrated and delivery remains consistent.
• Direct operating model redesign and enterprise workflow improvement, embedding digital, automation, and AI capabilities into core processes.
• Manage the transformation portfolio by setting priorities, identifying dependencies, sequencing work, and resolving conflicts across initiatives.
• Track and deliver measurable value, including outcome measurement, adoption monitoring, and sustained business impact.
• Work with senior leaders to ensure delivery is consistent with enterprise strategy, Responsible AI principles, and platform capabilities.
• Build, coach, and lead a high-performing transformation team focused on accountability, speed, and impact.

Requirements

• At least 12 years of experience leading enterprise transformation, operating model redesign, or large-scale business process change in complex organizations.
• Strong history of turning strategic intent into delivered, measurable enterprise outcomes.
• Experience creating or leading transformation offices, PMOs, or similar governance and delivery structures.
• Solid understanding of AI, digital transformation, automation, and technology-enabled workflow redesign.
• Ability to connect strategy, operations, technology, people impact, and value realization into one transformation roadmap.
• Proven experience in matrixed, heavily regulated environments with multiple stakeholders and competing priorities.
• Executive presence with the ability to influence senior leaders and hold teams accountable.
• Advanced problem-solving ability with a consulting-oriented mindset and strong operational execution skills.
• Bachelor’s degree required; MBA or another advanced degree is preferred.

Benefits and compensation

• Annual base salary range of USD 288,400 to USD 535,600, depending on experience and qualifications.
• Performance-based cash incentives, plus possible eligibility for equity awards depending on role level.
• Comprehensive medical, dental, and vision coverage.
• Life insurance and disability coverage.
• 401(k) retirement plan with company contribution and matching.
• Generous paid time off, including vacation, holidays, personal days, and additional leave options.
• Opportunity to lead large-scale enterprise transformation initiatives.
• Exposure to advanced AI-driven, digital, and operational transformation work.
• Inclusive and collaborative workplace that values innovation, accountability, and continuous improvement.

Application and hiring process

This role is posted on behalf of a partner company, which manages applications and the remaining hiring steps directly. Applications are reviewed through an AI-assisted matching process that screens candidates against the core requirements and shares a shortlist with the hiring employer. Final decisions, interviews, and assessments are handled by the employer’s internal team.

Privacy and AI notice

By submitting an application, you consent to the processing of your personal data for candidate evaluation and sharing relevant information with the hiring employer, based on legitimate interest and pre-contractual measures under applicable data protection laws, including GDPR. You may request access, correction, deletion, or objection rights at any time. AI tools may be used to support parts of the hiring workflow, such as application review, résumé analysis, or response assessment, but human judgment remains central and final hiring decisions are made by people.