Vice President, Data & AI Strategy Fully Remote - padsplit

The Role We Need

PadSplit is looking for a Vice President, Data & AI Strategy to transform data, machine learning, and artificial intelligence into a strategic advantage that improves outcomes for our members, hosts, and business. Reporting directly to the CTO, this leader will oversee our Analytics, Machine Learning, and AI functions while driving responsible AI adoption across the company. This role will ensure our data and AI investments generate measurable business impact while maintaining the trust and ethical standards our mission demands.

The Person We Are Looking For

We are looking for an experienced executive who has successfully led integrated data, analytics, and machine learning organizations and has personally driven AI adoption at scale. The ideal candidate combines strong technical judgment with business acumen, helping leaders separate meaningful opportunities from hype while translating complex concepts into action. They are a pragmatic, mission-driven leader who can influence executives, develop teams, and ensure data and AI are deployed responsibly to improve people's lives.

Here's What You'll Be Doing Day-to-Day:

• AI Strategy Leadership: Define and execute PadSplit's company-wide AI strategy, including adoption goals, governance standards, enablement programs, and business impact measurement.
• Organization Leadership: Lead the Analytics, Business Intelligence, Machine Learning, and AI enablement teams as a unified data and AI organization.
• Roadmap Ownership: Drive the machine learning and predictive analytics roadmap, including pricing optimization, risk modeling, search relevance, and future AI-powered capabilities.
• Data Platform Management: Oversee the health, quality, governance, scalability, and cost efficiency of PadSplit's data ecosystem.
• Responsible AI Governance: Partner with Legal and executive stakeholders to establish ethical AI standards and responsible deployment practices.
• Product Partnership: Collaborate with Product teams to build data-driven experiences and predictive features that improve member and host outcomes.
• Executive Decision Support: Translate data and analytics into actionable insights that influence decisions across Product, Finance, Marketing, and Operations.
• Technology Evaluation: Assess emerging AI and machine learning technologies and determine where they can create meaningful business value.

Here's What You'll Need to Be Successful:

• Executive Leadership: 10+ years of experience in data, analytics, machine learning, or AI leadership roles, including experience managing managers.
• Integrated Team Leadership: Proven success leading both analytics and machine learning functions within a single organization.