Senior Manager, Supply Chain Data Science & AI Operationalization (AI)

Location: Santa Clara, California, United States. Travel up to 10% of the time. Relocation is mentioned as available, but the role is marked as not relocation eligible.

Salary: $193,500–$266,000 per year, plus potential bonus and stock awards.

Company

hirify.global develops materials science and engineering solutions for semiconductor chips and advanced displays.

What you will do

• Lead supply chain analytics delivery across procurement, order fulfillment, reverse value chain, repair, inventory, and supplier operations.
• Convert recurring manual analyses into repeatable, governed, AI-assisted workflows and reusable tools.
• Move prototypes from notebooks into production on Databricks, BI, enterprise application, and MLOps platforms.
• Establish prompt and model evaluation, human-in-the-loop controls, versioning, monitoring, data lineage, and model lifecycle governance.
• Direct complex statistical, data-mining, and large-scale data integration projects using structured and unstructured data.
• Lead and develop a small analyst team while tracking delivery cycle time, quality, and measurable business impact.

Requirements

• 8–12 years of experience in data science or advanced analytics, including hands-on supply chain analytics and AI delivery.
• Hands-on experience taking analytics from notebooks to governed production with lineage, monitoring, and clear ownership.
• Strong SQL, Python, Databricks or lakehouse, and enterprise BI skills.
• Experience with LLMs, generative AI, RAG, agentic workflows, MLflow or equivalent, and AI-assisted development tools.
• Experience deploying governed services on ARO or equivalent Kubernetes, OpenShift, Azure ML, or cloud-native platforms.
• Bachelor’s degree required; an advanced quantitative degree and semiconductor or complex global supply chain experience are preferred.

Nice to have

• Experience with reverse value chain, repair, inventory optimization, supplier performance, or on-time-delivery analytics.
• Experience establishing an AI or analytics center of excellence or an MLOps practice.

Culture & Benefits

• Supportive work culture focused on learning, development, and career growth.
• Comprehensive employee benefits supporting health and wellbeing.
• Potential eligibility for bonus and stock award programs.