Vice President of Enterprise Operations

Key Responsibilities

• Have full leadership responsibility for a company-wide support function, non-core business unit or a region.
• Develop strategic plans for own organizational entity.
• Oversee how we scale enterprise engagements, ensure operational excellence in delivery, and leverage AI-driven tools and processes to improve outcomes.
• Act as a bridge between enterprise clients, internal delivery teams, and executive leadership to ensure we deliver predictable, high-quality results that drive growth and customer satisfaction. 
• Supervise directors and/or senior managers who have overall responsibility for the operation of their areas.
• Accountable for the financial performance of a support function, non-core business unit or region.
• Influence the allocation of resources across multiple divisions, regions or sub-functions.
• Establish goals and objectives ensuring alignment with business units and corporate strategic plans.
• Evaluate key business and organizational challenges; direct the development of new or innovative solutions.
• Collaboratively develop the functional long-term plans needed to achieve divisional and enterprise strategy.
• Set ROI expectations to achieve enterprise imperatives.
• Own operational strategy and delivery for enterprise customers across all functions.
• Build and optimize processes to ensure on-time, high-quality deliverables.
• Serve as a strategic partner to enterprise account leaders, ensuring operational alignment with customer expectations.
• Identify and implement AI-driven solutions to enhance enterprise operations (e.g., workflow automation, predictive analytics, service optimization).
• Partner with product/engineering, and ITS to operationalize AI-driven tools for customer-facing teams. 

Qualifications

• Bachelor's degree required, advanced degree preferred
• 15+ years of experience in enterprise operations, customer delivery, or program management, with at least 5 years in a senior leadership role. 
• Experience with cloud technology companies with enterprise-level clients. 
• Familiarity with customer success, technical delivery, and post-sales operations. 
• Background in deploying AI/ML technologies for operational use cases. 
• Excellent management skills with in-depth knowledge of organization's development design procedures and objectives.
• Ability to develop a vision and guide leadership through the change and implementation process.
• Ability to leverage resources to meet goals and objectives efficiently and effectively.
• Ability to adapt and lead through change.
• Proven track record of scaling enterprise operations in a technology or services environment.
• Executive Presence: C-suite interaction capability.
• Financial Acumen: Deep P&L management experience.


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