Blackbaud

Artificial Intelligence

• Serve as a subject matter expert and advocate for RE NXT Web View and emerging AI-powered capabilities
• Engage directly with customers to increase product adoption, optimize workflows, and drive measurable business outcomes
• Deliver presentations, webinars, executive briefings, product demonstrations, and industry thought leadership content
• Partner with customers to identify best practices and help them achieve greater operational maturity and success
• Collaborate with Product, Marketing, and Customer Success teams to shape messaging, adoption strategies, and customer enablement programs
• Develop customer-facing resources including playbooks, best-practice guides, case studies, and success stories
• Analyze product usage and customer feedback to identify trends, opportunities, and areas for improvement
• Act as a liaison between customers and internal teams, helping influence product innovation and future roadmap priorities

Functional Expert, RE NXT & AI Innovation

Product Adoption Specialist

• Build and run change management plans internally for new AI capabilities, including assessing who's affected, planning how to engage them, shaping communications, and setting clear milestones to confirm teams are ready.
• Create simple, practical support materials (job aids, guides, quick-reference resources, etc) that help teams use new AI enabled workflows effectively.
• Partner with product owners, AI engineers, functional leaders, and frontline teams to understand what is changing and what people need to be ready for change.
• Apply structured change, communication and training methodologies to all programs.
• Consult and coach partner enablement teams through communication and education efforts.
• Engage and recruit leaders as “change champions” to help build a network of employees who can model and support adoption with their peers.
• Identify risks, resistance, confusion, or readiness gaps early and help create practical plans to address them.
• Define and track adoption metrics that show whether teams are truly changing how they work, not just whether they have access to a tool.
• Share what you learn with the wider Change Management team so our approach keeps improving across business areas.

AI Adoption Specialist

AI Engineer

• Lead the maturation of Blackbaud’s Insider Threat detection program toward an AI-augmented capability, including administration, tuning, and optimization of Insider Threat tools, UEBA platforms, and the AI/ML models underneath them
• Perform intrusion and insider risk analysis using SIEM technology, UEBA behavioral analytics, AI-generated insights, reports, data visualization, log analysis, and pattern analysis, applying human judgment to validate AI findings and separate true signal from noise
• Direct AI-driven hunting tools and agents to identify threat actor groups (external and insider) and their respective tactics, techniques, and procedures, personally leading the investigation of cases that require nuanced human judgment
• Serve as the human escalation point and first responder for security events that AI and automated tooling flag but cannot fully resolve, via email, phone, and tickets across corporate user networks, data centers, and cloud environments
• Own remediation of information security incidents, including insider threat investigations, ensuring AI-assisted findings are verified and contextualized before action is taken
• Document and communicate findings, escalate critical incidents, and interact with lines of business, HR, Legal, and other stakeholders on sensitive insider matters, exercising the discretion and judgment that AI systems cannot provide
• Design and build AI-driven and SOAR-based automated workflows within Detection Engineering, defining the guardrails, escalation thresholds, and human checkpoints that keep automation safe, effective, and improve analyst performance
• Champion responsible use of AI-driven analysis and automation to enhance detection accuracy and accelerate triage, while evaluating model accuracy, bias, and drift to keep detection logic explainable and trustworthy
• Document automation and AI model deployment processes, to include defining pre-build requirements, validation criteria, and human review checkpoints for high-risk decisions
• Utilize AI and automation to build metrics and dashboards supporting the Insider Threat and broader detection program, applying human interpretation to translate outputs into decisions leadership can act on
• Serve as a thought leader on the evolving division of labor between AI and human analysts – determining which decisions should be automated, which require human review, and how that boundary should shift as the program matures – as well as on new alert content, data correlation, and anomaly thresholds
• Improve and challenge existing processes and procedures in a very agile and fast-paced cyber security environment
• Keep current on the threat landscape, insider risk trends, cyber security developments, and emerging AI/ML techniques relevant to detection engineering
• Adapt to fluid infrastructures, and evaluate, pilot, and integrate new AI-enabled technologies and platforms
• Act as peer reviewer and technical escalation point within the core security engineering team, including reviewing AI-assisted detection logic and automation before deployment
• Advise and inform leadership on how to optimize the current toolset and evaluate future tools, including UEBA, SOAR, and AI-enabled analysis platforms, recommending where automation should expand and where human oversight must remain

Functional Expert, RE NXT & AI Innovation

AI Adoption Specialist

Principal AI Threat Detection Engineer – Insider Threat