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Tier-1 employer in metro with broad AI/manufacturing skill requirements increases applicant density.
Requires manufacturing systems, regulated-industry experience, and AI product leadership, so transferable candidates are limited.
Explicit 13–17 years, 5+ years leadership, and domain/compliance mandates create high filter strictness.
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Lead a team delivering AI-enabled manufacturing and engineering solutions, accountable for product strategy, roadmap, and execution aligned with business outcomes.
Directly manage and develop engineering team including performance and career growth while coordinating cross-functional alignment across multiple stakeholders.
Oversee delivery practices ensuring compliance, quality, operational resilience, and adoption in a regulated manufacturing environment.
Master's or Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent experience.
13 to 17 years of relevant experience in information systems, software delivery, product delivery, or technical program leadership.
Minimum 5 years of direct people management experience leading engineering or technical teams.
Experience working in regulated or highly governed environments is required.
Experience with manufacturing systems (SCADA, MES, ERP, LIMS) and industrial data platforms with strong familiarity of cloud and AI technology stacks (AWS, Databricks, Spark, Python).
Proven ability to translate complex business needs into technical roadmaps, work across diverse technical and business teams, and lead strategic delivery in complex matrix organizations.
Skilled in product and delivery leadership for AI and automation solutions, with experience working alongside principal engineers and managing cross-functional initiatives in regulated industries.