Data Scientist, Principal

• We re looking for a strategically minded and AI-expert Principal Data Scientist to design and elevate how Blackbaud delivers decision intelligence at enterprise scale. In this role, you will combine strategic thinking with deep AI expertise to transform how predictive models, business logic, and generative AI come together into trusted, production-ready intelligence.
• You ll partner across data, platform, and business teams to shape how decisions are generated, explained, and governed-fueling responsible, AI-powered solutions that help organizations move faster with confidence. This role plays a critical leadership role in Blackbaud s evolution into an AI-native company, advancing how intelligence is embedded into products and decision workflows.

What youll do

• Lead the design of enterprise decision intelligence systems that combine predictive models, business rules, and generative AI into clear, actionable outputs
• Establish scalable decision modeling patterns that support recommendations, prioritization, risk scoring, anomaly detection, and summarization across the business
• Define how contextual data is transformed into decision-ready intelligence that is interpretable, explainable, and aligned to enterprise meaning
• Guide the development of production-grade machine learning and generative AI solutions, ensuring outputs are grounded, testable, and reliable
• Build and evolve evaluation frameworks that measure decision quality, including accuracy, calibration, drift, groundedness, and consistency over time
• Partner cross-functionally with data, architecture, and platform teams to ensure decision systems are observable, scalable, and aligned to enterprise standards
• Lead root-cause analysis of decision or model failures and translate insights into systemic improvements across teams

• 8 or more years of experience delivering applied analytics, machine learning, or AI systems in production environments

• Expertise in predictive modeling and decision systems, including evaluation, monitoring, drift detection, and thresholding strategies. Strong understanding of generative AI systems, including grounding techniques, structured outputs, and common failure modes.

• Experience working with Python and modern machine learning or AI development workflows.

• Proven ability to influence technical direction and partner across teams to drive adoption of scalable, responsible AI practices

Disclaimer: This job posting and location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.