Senior Director, AI Engineering Transformation
$225,000–$250,000 year
On-siteNeedham, Massachusetts, United States
Job Summary
Architect and implement a unified data infrastructure across Engineering to resolve fragmented, siloed data landscapes, mapping assets from schematics to field return data into usable ingestion pipelines. Define and execute the AI transformation roadmap across the full engineering lifecycle, replacing manual, PowerPoint-based workflows with AI-powered tooling for real-time program status visibility and automated accountability. Deploy AI planning intelligence to improve forecasting accuracy and transform reliability capabilities by enabling failure prediction, DVT/EMC outcome analysis, and field-return pattern detection at scale. Build and lead a team of AI Fellows embedded directly into Engineering teams to drive hands-on adoption while translating complex capabilities into practical solutions for cross-functional groups. Establish success metrics, track adoption, and report measurable outcomes to executive leadership to drive the company-wide AI transformation initiative.
Required Qualifications
- 10+ years of professional experience in AI/ML, engineering leadership, program management, data architecture, quality engineering, or technology transformation roles
- Strong technical fluency in AI/ML and data infrastructure
- Proven track record leading large-scale transformation or change management initiatives
- Deep understanding of engineering development lifecycles in a hardware or consumer electronics context
- Proven ability to both build (hands-on implementation) and think strategically
- Strong business acumen
- Exceptional leadership skills
- Decisive and action-oriented
- Comfortable operating in ambiguity and a high-velocity environment
- Travel required (domestic and international, including China manufacturing sites)
- On-site at Boston HQ or New York office full-time
Desired Qualifications
- Experience at an AI-native company or within an engineering organization where AI was core to the development process
- Background bridging technical build teams and business stakeholders
- Experience productionalizing AI prototypes (moving from proof-of-concept to enterprise-grade tools with proper back-end infrastructure)
- Familiarity with engineering quality concepts: FMEAs, DVT, EMC/regulatory compliance, reliability testing, field-return analytics
- Ability to speak Mandarin
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