15+ years of experience with 10+ years of experience in enterprise, solution, or platform architecture, with deep focus on data and analytics
Proven experience designing enterprise-scale data platforms in cloud-based SaaS environments
Strong expertise in AI-enabled system architecture, including ML and/or Generative AI solution patterns
Solid understanding of AI/ML architectures, including data pipelines, model lifecycle management, and integration patterns
Hands-on familiarity with modern data technologies such as cloud data warehouses, data lakes, and streaming platforms
Experience working across product, engineering, security, and business stakeholders
Strong executive communication and storytelling skills
Pragmatic familiarity with enterprise architecture frameworks (e.g., TOGAF) and architecture governance
Proficiency in Agile and Lean delivery models
Ability to deliver work which meets all minimum standards of quality, security, and operability
Experience enabling AI-powered SaaS products or large-scale analytics platforms
Experience with LLMs, generative AI, and vector-based architectures
Experience with data governance, privacy, and regulatory frameworks (e.g., SOC 2, GDPR, HIPAA, where applicable)
Experience with data mesh or domain-oriented data architectures
Background in a high-growth SaaS or platform company
Experience with observability for data and AI, including quality, drift, lineage, and cost/usage
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Blackbaud powers social impact through purpose‑driven technology and responsible AI. Guided by our Intelligence for Good® vision, we’re building a culture where innovation, trust, and human expertise come together to help organizations make a greater difference in the world