[Remote] Manager, Software Engineering - AI and Data Platform
Note: The job is a remote job and is open to candidates in USA. Blackbaud is a company focused on powering social impact through purpose-driven technology and responsible AI. The Engineering Manager for the Data & AI Platform will lead teams in building and evolving the enterprise Data & AI platform, ensuring it is scalable, secure, and aligned with business outcomes for the nonprofit sector.
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
Skills
- 8+ years of experience in software, data, or platform engineering (.NET, Azure, Databricks, ADO preferred)
- 3+ years of experience managing and developing data 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
Benefits
- Medical, dental, and vision insurance
- Remote-flexible workforce
- Wellness Programs
- 401(k) program with employer match
- Flexible paid time off
- Generous Parental Leave
- Donations for Doers
- Pet insurance, legal and identity protection
- Tuition reimbursement program
Company Overview
Company H1B Sponsorship