Vice President, Enterprise Data & AI

TD SYNNEX Corporation • South Highpoint, FL

2d • Remote

About The Position

The Vice President, Enterprise Data & AI is the executive accountable for driving enterprise-wide execution, adoption, governance, and value realization of TD SYNNEX's Data & AI strategy. Reporting to the SVP, Digital Innovation & Enterprise Architecture, this leader translates enterprise strategy into outcomes across the Data Platform, AI Factory, Data Governance, Business Intelligence, and AI Enablement functions, and owns the business results those functions produce.

The role is accountable for the value of the Data & AI portfolio as well as its delivery. It sets the operating model, prioritizes investment, and establishes governance and responsible AI controls for global AI deployment. The VP partners with business, technology, security, finance, and legal leaders across four regions to align priorities, remove barriers, and accelerate outcomes that improve decision quality, productivity, and financial performance.

The role requires global and local in-country travel, including frequent travel (25%). The position is remote/work-from-home in a professional office environment.

Requirements

• 15+ years of relevant work experience in data, AI/ML, engineering, and/or platform leadership roles, with executive-level accountability for delivery outcomes.
• 8+ years of experience directly managing or supervising employees.
• Demonstrated accountability for an operating budget of $5 million or greater and an investment portfolio of comparable scale.
• Hands-on familiarity with the Microsoft ecosystem, such as Azure Foundry, Microsoft Copilot, and Copilot Studio; modern data platforms such as Snowflake and Databricks; and foundational AI models such as OpenAI and Anthropic.
• Experience with FinOps best practices for cloud and AI cost management, including chargeback and showback models.
• Proven record of delivering measurable business value from data and AI investments, evidenced by quantified outcomes.
• Deep working knowledge of modern data platform architecture, AI and generative AI deployment at scale, and data governance frameworks.
• Experience establishing responsible AI and data governance practices in a regulated, multi-jurisdiction environment.
• Ability to bridge communication gaps and drive cross-functional alignment to deliver value without conflicting implementations.
• Executive presence and demonstrated effectiveness influencing C-suite peers and reporting to board-level audiences.
• Bachelor's degree or equivalent work experience in a related field required.
• Master's or postgraduate degree required.
• Ability to communicate and write effectively in English and other local or regional language.
• Strong leadership, organizational, time-management, communication, collaboration, problem-solving, adaptability, and decision-making skills.
• Ability to interact effectively with high levels of management, negotiate persuasively, work independently, manage sensitive information confidentially, and use relevant computer systems and applications at an advanced level.

Nice To Haves

• Experience managing globally distributed teams across North America, EMEA, APJ, and LATAM.
• Experience leading data and AI transformation through significant business change, such as an integration, divestiture, or restructuring.
• Experience in distribution, supply chain, or another high-volume, low-margin operating model.

Responsibilities

• Own execution of the enterprise Data & AI roadmap, ensuring strategic priorities are delivered consistently across regions, functions, and business units.
• Approve sequencing and trade-off decisions across speed, quality, risk, and cost, and hold director-level leaders accountable for committed outcomes.
• Own the benefits case for the Data & AI portfolio from investment approval through post-implementation review; partner with business leaders and Finance to establish baselines, measurable value targets, process adoption, and value reporting; redirect or terminate initiatives that do not realize committed value.
• Direct development and operation of the enterprise Data Platform, AI Factory, and related AI capabilities; set the platform roadmap and approve platform investment.
• Own enterprise data governance and responsible AI practice, including the AI use-case approval process; be accountable for data quality and partner with other teams on security, privacy, regulatory compliance, and model risk management.
• Set priorities, performance measures, governance forums, and execution processes; monitor progress, escalate and resolve enterprise risks, and provide transparency into delivery commitments and outcomes.
• Own the operating and investment budget for Data & AI, approve expenditure within delegated authority, and lead strategic vendor selection, negotiation, and performance management.
• Drive unit-cost improvement while sustaining investment in capabilities that create long-term value.
• Build and lead a global organization of directors, managers, and technical professionals; define the operating model and organizational design, hire and develop director-level leaders, set succession plans for critical roles, and cultivate accountability, collaboration, and continuous improvement.
• Execute instructions and request clarification when needed.
• Demonstrate complex problem solving, critical thinking, and decision-making.
• Recognize and attend to important details accurately and efficiently.
• Communicate clearly, convey necessary information, and communicate in English and other local or regional language.
• Create and conduct formal presentations; interact effectively with senior management.
• Negotiate skillfully and promote or sell ideas persuasively.
• Collaborate effectively across identities and build effective working relationships.
• Lead, create new ideas, and be assertive; organize and manage time to drive tasks to completion.
• Adapt to change, work constructively under stress and pressure, work independently with minimum supervision, and effectively multitask.
• Maintain and promote social, ethical, and organizational standards; maintain confidentiality of sensitive information.
• Use relevant computer systems and applications at an advanced level and quickly learn or adapt to new systems and technology.
• Remain aware and alert while performing work.
• Travel globally and locally in-country as required.

Benefits

• Country-tailored elective benefits.
• Formal leadership and professional development programs and on-demand courses.
• Seminars, events, and a global Life Empowerment Assistance Program supporting financial, physical, and mental well-being.
• Inclusive education, peer-to-peer conversations, and equitable growth and development opportunities.
• Onboarding program to connect with new coworkers within the first 30 days.
• Inclusive peer-led communities and activities, business resource groups, local volunteering events, and environmental and social initiatives.

What This Job Offers

• Job Type: Full-time
• Career Level: Executive