SVP, Data & AI Transformation

Position Summary

Vista Equity Partners is seeking an experienced, dynamic, and strategic SVP, Data & AI Transformation to be a senior leader within Vista’s Technology organization, leading the firm’s enterprise AI and data transformation capabilities. This role reports directly to the Chief Information Officer and will drive the strategic planning, development, and execution of Vista’s enterprise AI and data strategy, owning the vision, strategy, and roadmap for AI and data initiatives that transform how the firm operates, makes investment decisions, and delivers value across its global business.

The successful candidate will bring strong leadership skills, build relationships with internal and external stakeholders, and enable responsible AI innovation across the firm — underpinned by a modern, governed data foundation. The role prioritizes AI and data investments that deliver measurable outcomes in productivity, decision-making, and operational efficiency, and embeds AI and data capabilities into Vista’s operations, processes, and products.

Partnering closely with firm leaders, this role offers a unique opportunity to shape one of Vista’s most strategic technology capabilities. The ideal candidate has a proven history of leading enterprise transformation, influencing executive stakeholders, building high-performing teams, and driving organizational change in fast-evolving technology environments.This role is for an immediate start and will be located in our Austin, TX or New York, NY office locations.

Responsibilities

• Develop and drive an industry-leading enterprise AI and data organization by providing strategic leadership on AI technologies, data platforms, vendors, and operating models that accelerate business performance and innovation.
• Define and execute Vista’s enterprise AI and data strategy and transformation roadmap, ensuring investments are aligned with the firm’s strategic priorities and deliver measurable business outcomes.
• Lead the firm’s enterprise AI and data roadmap and product prioritization process, ensuring technology resources, engineering capacity, and investment are directed toward the highest-value opportunities.
• Own the firm’s enterprise data strategy, including data governance, data quality, and the foundational architecture needed to scale AI reliably and responsibly.
• Build and run a high-performing team of data engineers, AI enablement personnel, and AI platform engineers.
• Define and operationalize the “AI citizen-developer” process to enable Vista employees to leverage AI in meaningful ways while remaining secure and compliant with firm policies
• Partner with leaders across Vista to identify, prioritize, and deliver AI- and data-enabled initiatives that improve operational efficiency, decision-making, employee productivity, and investment capabilities.
• Establish, maintain, and report upon key performance indicators that measure AI and data adoption, business value realization, operational impact, and return on investment across the enterprise.
• Lead enterprise AI and data transformation initiatives by developing business cases, defining success metrics, driving organizational alignment, and overseeing implementation and adoption across the firm.
• Oversee strategic partnerships with AI and data technology providers, implementation partners, and other external vendors to accelerate Vista’s capabilities and maximize business value.
• Foster AI and data literacy and adoption across the organization by establishing education, enablement, and change management programs that help employees effectively and responsibly leverage these technologies.
• Maintain a strong understanding of emerging AI and data technologies, market trends, and productivity platforms, translating new capabilities into practical business applications that create competitive advantage for Vista.
• Partner closely with Information Security, Legal, Compliance, and Risk Management to ensure AI and data technologies are deployed in accordance with regulatory requirements, security standards, data governance practices, and responsible AI principles.
• Communicate key stakeholder insights and advise executive leadership on AI and data strategy, investment priorities, and emerging opportunities that enable the business to grow, innovate, and scale.

Qualifications

• 15+ years of progressive experience leading enterprise technology, AI, data, digital transformation, product management, strategy, …