Vice President, Tech, Innovation & AI

Reporting to the Chief Operations Officer and Chief Financial Officer, the Vice President leads the IT, CRM and Data Analytics teams and advances the strategic plan by equipping staff with the tools, skills and trusted data to work more effectively. This leader sets and implements an enterprise technology vision, scales integrated data capabilities and embeds useful, responsible AI into everyday work.

Success will be demonstrated through sustained staff adoption, measurable return on investment and reliable data integration that improves decisions and donor engagement.

• Develop and execute an enterprise technology, data and AI roadmap aligned with the strategic plan. Partner with department leaders to prioritize investments, sequence delivery and establish shared accountability for outcomes.
• Build business cases with clear baselines, full implementation and operating costs, expected benefits and adoption measures. Track realized ROI with Finance and business owners, distinguishing financial savings from capacity gains and service improvements.
• Set enterprise technology investment priorities and oversee the technology budget and vendor portfolio within delegated authority. Empower team leaders to manage delivery and assigned budgets. Partner with departments that hold technology budgets and ensure all technology selection, purchasing and implementation follows organizational processes, standards and protocols.

• Lead substantial AI initiatives from opportunity assessment through deployment and sustained use across functions. Select practical use cases, test value and reliability, and scale solutions that demonstrate measurable benefits.
• Partner with department leaders and People and Culture to build AI literacy and staff confidence through training, coaching, peer champions and hands‑on demonstrations. Address barriers and use staff feedback to improve adoption.
• Embed change management in every major initiative, including stakeholder engagement, workflow redesign, communications, training and post-launch support. Measure effective use and business outcomes beyond licenses issued or training completed.
• Create a culture of thoughtful experimentation and continuous learning. Apply sound build-versus‑buy judgment and guide teams and vendors toward maintainable solutions that fit organizational capacity.

• Lead the continued development and integration of enterprise platforms through the CRM and Data Analytics leaders, who own their respective platform roadmaps and delivery. Align their work to provide a secure, trusted view of donors and organizational performance.
• Enable the Data Analytics team to scale reliable warehouse capabilities, data pipelines and integrations. Establish shared expectations for data quality, documentation and governance, with business stakeholders accountable for definitions and validation.
• Partner with Development, Marketing and Communications, Public Policy, Finance and other teams to translate operational needs into useful analytics, dashboards, automation and AI-enabled workflows.
• Set enterprise architecture principles and guide major platform and integration decisions. Establish one accountable technical owner for each integration across delivery, monitoring and ongoing support; resolve ownership and priority conflicts among IT, CRM and Data Analytics.

• Lead and empower functional leaders to deliver reliable technology services and platforms. Set service expectations, cybersecurity and continuity priorities, and escalation thresholds; review performance across IT, CRM and Data Analytics and remove barriers to delivery.
• Lead enterprise technology risk management, with IT responsible for shared infrastructure, identity and access, cybersecurity controls and incident readiness, and CRM and Data Analytics responsible for controls within their platforms. Escalate material risks and investment needs to the COO/CFO and relevant organizational leaders.
• Establish and maintain best practices for technology, data and AI governance, including policy development, clear standards and decision authority, and monitoring of adherence and effectiveness. Partner with department leaders and relevant advisers to keep governance practical and responsive to evolving needs.

• Attract, hire, develop and retain strong technical talent. Lead the leaders of IT, CRM and Data Analytics,…