Senior Manager, Enterprise AI Platform

About the role

Blackbaud is transforming how artificial intelligence empowers our employees, customers, and the social impact organizations we serve. We're seeking a Senior Manager, Enterprise AI Platform to lead the evolution and adoption of enterprise AI capabilities across our business. In this highly visible leadership role, you will oversee a team of AI Product Owners aligned to key internal business value streams, helping shape how AI agents, copilots, automation, and emerging technologies are incorporated into enterprise workflows. You will serve as the connective tissue between strategy, product, engineering, architecture, and executive leadership, ensuring AI investments are technically sound, responsibly governed, and aligned to business outcomes. This role requires a unique combination of deep AI platform expertise, strategic influence, and people leadership. You will guide technical decisions, evaluate emerging AI technologies and vendors, establish scalable governance standards, and develop a high-performing team focused on accelerating AI adoption across the organization. If you're passionate about translating rapidly evolving AI capabilities into meaningful business transformation and leading teams at the forefront of enterprise innovation, we'd love to hear from you.

Responsibilities

• Lead and develop a team of AI Product Owners supporting multiple enterprise value streams, providing coaching, strategic direction, and execution support to maximize business impact.
• Define and evangelize the technical vision, governance framework, and operating model for Blackbaud's internal AI platform, ensuring scalable and responsible adoption across the organization.
• Partner with executive stakeholders, business leaders, and technology teams to prioritize AI opportunities and align investments with enterprise objectives.
• Guide the design and implementation of AI-powered agents, copilots, and workflow automation solutions, ensuring alignment with architectural standards and business requirements.
• Serve as a trusted advisor to senior leadership by evaluating emerging AI capabilities, platforms, and market trends, translating technical developments into actionable recommendations.
• Establish best practices, standards, and governance models for enterprise AI development, including agent architecture, model selection, integration patterns, and operational controls.
• Lead cross-functional planning efforts, including strategic roadmaps, portfolio prioritization, and readiness assessments for new AI capabilities.
• Partner closely with engineering and architecture teams to evaluate technical approaches, integration strategies, and platform scalability requirements.
• Build organizational AI capability by mentoring product, technical, and business stakeholders while supporting enablement programs, communities of practice,