Vice President, Enterprise Data & AI

TD SYNNEX • Remote, Florida, United States, 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, the role 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 VP is accountable for the value of the Data & AI portfolio as well as its delivery. The role 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 position leads a global organization of directors, managers, and technical professionals; owns the Data & AI operating and investment budget; and oversees platform capabilities, portfolio value, governance, vendor management, and execution. The role is remote/work-from-home, involves work in a professional office environment, and requires local and global travel, including frequent travel of 25%.

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, including examples 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.
• Able to execute instructions and request clarification when needed.
• Able to demonstrate complex problem solving, critical thinking, and decision-making.
• Able to recognize and attend to important details with accuracy and efficiency.
• Able to communicate clearly and convey necessary information; converse and write effectively in English and other local or regional languages.
• Able to create and conduct formal presentations.
• Able to interact effectively with management at manager level and above.
• Able to negotiate skillfully and promote or sell ideas persuasively.
• Able to understand, communicate, and collaborate effectively with people across various identities.
• Possesses strong leadership skills and willingness to lead, create new ideas, and be assertive.
• Possesses strong organizational and time-management skills and drives tasks to completion.
• Able to adjust readily to change and adapt as needed.
• Able to work constructively under stress and pressure when faced with high workloads and deadlines.
• Able to maintain and promote social, ethical, and organizational standards in internal and external business activities.
• Able to work independently with minimum supervision and maintain confidentiality of sensitive information.
• Able to effectively multitask and build solid, effective working relationships with others.
• Able to be sensitive to the needs, concerns, and feelings of others.
• Able to use relevant computer systems and applications at an advanced level and quickly learn or adapt to new systems and technology.
• Able to stay aware and alert while performing work.

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 across regions, functions, and business units; approve sequencing and trade-off decisions and hold director-level leaders accountable for outcomes.
• Own the benefits case for the Data & AI portfolio from investment approval through post-implementation review; establish baselines and measurable value targets with business leaders and Finance, embed capabilities into business processes, and report realized value against commitments.
• Redirect or terminate initiatives that are not realizing committed value.
• Direct the 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 practices, 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 to focus resources on high-impact initiatives; monitor progress, resolve or escalate enterprise risks, and provide transparency into 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, establish succession plans for critical roles, and cultivate accountability, collaboration, and continuous improvement.
• Partner with business, technology, security, finance, and legal leaders across four regions to align priorities, remove barriers, and accelerate business outcomes.

Benefits

• Country-tailored elective benefits.
• Formal leadership and professional development programs and on-demand courses.
• Financial, physical, and mental well-being support through seminars, events, and a global Life Empowerment Assistance Program.
• Inclusive education, peer-to-peer conversations, and equitable growth and development opportunities.
• Onboarding program that connects new co-workers with the global organization within the first 30 days.
• Internal peer-led inclusive communities and activities, including business resource groups, local volunteering events, and environmental and social initiatives.

What This Job Offers

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