Senior Principal, AI Product Owner – Machine Learning

🔥 0 minutes ago

🌽 Illinois, Kentucky, +2 more states – Remote

🌽 Illinois – Remote 🐎 Kentucky – Remote 🍂 Massachusetts – Remote 🤠 Texas – Remote

💵 $175k - $230k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Entegris

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Artificial intelligence, augmented reality, Internet of Things – these are not just trends, they are drivers changing the way people live across the globe. With these new drivers and the increasing speed of innovation, there comes an expectation for higher-quality, higher-performing technologies at a faster pace.

📋 Description

• Be the domain expert and provide senior principal, consultant level approach for developing and maturing best practices. • Own the roadmap for ML products — demand and supply forecasting, inventory and network optimization, predictive quality and maintenance, yield, and risk scoring. • Partner with data science and ML engineering across the full lifecycle — problem framing, feature engineering, training, validation, deployment, and monitoring — with strong MLOps discipline (CI/CD, drift detection, retraining). • Champion feature stores, data contracts, and model documentation to make solutions reproducible and production-grade. • Partner with data engineering and governance teams to assess and elevate the readiness of supply chain, manufacturing, quality, and operational data for AI — accuracy, completeness, lineage, timeliness, and accessibility. • Define and operationalize Responsible AI governance — risk, security, data and IP protection, model/solution oversight, audit trails, and compliance — aligned to Entegris policy and emerging AI regulation.

🎯 Requirements

• Strong command of the ML lifecycle and MLOps — feature engineering, training, validation, deployment, monitoring, and retraining • 15 + years in enterprise data, software development practices and/or product management/ownership, including 4+ years delivering AI/ML or data products, with a track record of taking solutions to scaled production. • Demonstrated experience assessing and improving data readiness for AI — quality, lineage, metadata, and accessibility. • Proven success building a new capability or practice and scaling it across an organization. • Experience establishing AI governance, risk, and Responsible AI controls. • Track record of value creation — connecting AI products to quantified business outcomes. • Excellent stakeholder leadership and executive communication; able to influence senior business and technical leaders. • Bachelor’s degree in a relevant field; advanced degree a plus.

🏖️ Benefits

• Generous 401(K) plan with an impressive employer match • Excellent health, dental and vision insurance packages to fit your needs • Flexible work schedule and 11 paid holidays a year • Paid time off (PTO) policy that empowers you to take the time you need to recharge • Education assistance to support your learning journey • Values-driven culture with colleagues that rally around People, Accountability, Creativity and Excellence.