Blackbaud is a company focused on social impact through purpose-driven technology and responsible AI. The Engineering Manager, Data & AI Platform is responsible for leading teams to build and evolve the enterprise Data & AI platform, ensuring it is scalable, secure, and cost-efficient while driving high-impact platform initiatives.
Responsibilities:
- Own and evolve core Data & AI platform capabilities, including ingestion, transformation, lakehouse architecture, feature services, and AI/ML enablement layers
- Drive platform decisions aligned with Blackbaud’s Unified Data & AI Platform Strategy (modularity, interoperability, AI‑first design)
- Partner with Architecture, Governance, and Security to ensure the platform meets trust, compliance, and Responsible AI standards
- Balance build vs. buy decisions, prioritizing core competencies while reducing operational complexity
- Lead teams to deliver high‑impact platform initiatives aligned to AOP priorities (legacy modernization, cloud migration, cost optimization, agent enablement)
- Ensure platform reliability through operational excellence, including monitoring, incident management, and performance optimization
- Establish clear roadmaps, milestones, and success metrics for platform initiatives
- Hire, mentor, and grow high‑performing platform engineers across geographies
- Provide regular feedback, coaching, and career development aligned with Blackbaud’s people strategy
- Ensure every team member has clear goals, an active IDP, and opportunities to grow in modern Data & AI skills
- Collaborate closely with Product, Data Science, Analytics, and Product Engineering teams to ensure the platform accelerates—not blocks—delivery
- Influence standards and best practices across the Data Intelligence COE
Requirements:
- 8+ years of experience in software, data, or platform engineering
- 3+ years of experience managing and developing engineering teams
- Hands‑on experience with modern data platforms (cloud data lakes/lakehouses, distributed processing, streaming, APIs)
- Strong understanding of platform engineering principles and operating production systems at scale
- Proven ability to lead through ambiguity and influence without authority