AI Product Owner - Implement to Renew

Blackbaud

30d•$117,200 - $157,500•Remote

About The Position

The I2R value stream owns one of Blackbaud’s most consequential customer relationships—from implementation handoff through renewal. The Product Owner, AI Workflows – I2R is responsible for redesigning how that journey gets delivered, using AI to reduce friction, surface risk earlier, and accelerate the path to customer value. This role owns delivery of the AI workflow roadmap for the I2R value stream. You will design, prioritize, and deliver the AI-assisted workflows that change how implementation, onboarding, and renewal actually operate, working across business domain leads and the AI Platform Technical Lead, turning AI possibilities into real workflow change, every day.

Requirements

8+ years experience designing and delivering workflows, internal tooling, or shared services in an enterprise environment.
Experience building or scaling AI platforms, AI-assisted or agentic technologies strongly preferred.
Proven ability to map a current-state workflow, identify friction points, and redesign it for AI augmentation with the business and engineering teams.
Strong understanding of agile product ownership and backlog management.
Proven ability to influence and align cross-functional teams without formal authority.
Excellent communication skills with demonstrated ability to translate complex technical concepts into clear product decisions.
Familiarity with AI governance, responsible AI, security, and compliance considerations.
Experience working in a regulated or enterprise environment.
Passion for mission-driven technology and platform thinking.

Responsibilities

Own the AI workflow roadmap for I2R, defining which workflows to redesign across implementation, onboarding, support, and renewal, aligned to enterprise AI strategy and I2R business priorities.
Identify high-value use cases within your value stream where agents can meaningfully change how work gets done.
Own the backlog of AI workflow initiatives for I2R, prioritizing by customer impact and workflow readiness across the implementation-to-renewal lifecycle and drive delivery through to production.
Define epics, features, and acceptance criteria that enable reusable, secure, and scalable AI agent patterns.
Balance innovation with reliability, privacy, and responsible AI requirements.
Ensure platform capabilities are designed once and leveraged many times across teams.
Act as the connective tissue between engineering, data science, UX, security, legal/compliance, and product teams.
Drive alignment on roles and responsibilities for AI agent development, deployment, and lifecycle management.
Partner with platform and application teams to onboard them to AI agent tooling and best practices.
Represent the AI platform in planning forums, reviews, and executive updates.
Ensure AI agents align with Blackbaud’s standards for security, privacy, compliance, and ethical AI.
Apply the guardrails, operating models, and workflow standards defined by the Agentic Process Lead and flag where they need refinement based on domain reality.
Collaborate with risk and compliance partners to evolve governance without slowing innovation.
Champion adoption of AI platform capabilities across Blackbaud.
Define success metrics for AI agent usage, quality, and business impact.
Identify friction points and continuously improve the developer and user experience.
Help teams move from pilots to production with confidence.