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Machine Learning Manager Jobs in Oakbrook Terrace, IL

Sr. Machine Learning Engineer

Chicago, IL

$107K - $147K/yr

We're transforming Property Management; how property managers operate, how residents live, and how ... Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next ...

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Machine Learning Manager information

See Oakbrook Terrace, IL salary details

$51.3K

$82.2K

$118.7K

How much do machine learning manager jobs pay per year?

As of Aug 12, 2026, the average yearly pay for machine learning manager in Oakbrook Terrace, IL is $82,170.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,400.00 and $93,000.00 per year, depending on experience, location, and employer.

What are some of the main challenges a machine learning manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

Is machine learning a high paying job?

Machine Learning Managers typically earn high salaries due to their specialized skills in data analysis, programming, and model development. Compensation varies based on experience, location, and industry, but it is generally considered a well-paying role within the tech sector.

What are the key skills and qualifications needed to thrive as a machine learning manager?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

What is a machine learning manager?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
What are popular job titles related to Machine Learning Manager jobs in Oakbrook Terrace, IL? For Machine Learning Manager jobs in Oakbrook Terrace, IL, the most frequently searched job titles are:
What job categories do people searching Machine Learning Manager jobs in Oakbrook Terrace, IL look for? The top searched job categories for Machine Learning Manager jobs in Oakbrook Terrace, IL are:
What cities near Oakbrook Terrace, IL are hiring for Machine Learning Manager jobs? Cities near Oakbrook Terrace, IL with the most Machine Learning Manager job openings:

Senior Principal, AI Product Owner - Machine Learning

Entegris

Chicago, IL • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday


Entegris rating

8.2

Company rating: 8.2 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

88th of 538 rated manufacturers


Job description

Job Title:

Senior Principal, AI Product Owner - Machine Learning

Job Description:

Senior AI Product Owner - Machine Learning

AI, Data & Digital Enablement - Global Supply Chain

Here at Entegris, we use advanced science to enable technologies that transform the world, and we are seeking employees who have the drive to continue that mission.

The Role:

Entegris is seeking a Senior AI Product Owner - Machine Learning to join our Global Supply Chain organization in a remote, U.S.-based role. Within Global Supply Chain, the AI, Data & Digital Enablement team is building the data foundation, AI capabilities, and digital products that make our supply chain more predictive, resilient, and efficient.

Reporting to the VP, AI and Data, you will own the strategy, roadmap, and delivery of predictive and prescriptive machine learning products that drive better decisions across the supply chain. This is a senior, builder-level role: you'll shape the product portfolio, stand up the practice, establish governance and guardrails, and ensure the underlying data is AI-ready - partnering with business leaders, IT, data engineering, and data science to take solutions from concept to scaled production.

What You'll Do:

Machine Learning Product Leadership

  • Be the domain expert and provide senior principal, consultant level approach for developing and maturing best practices.Ownthe 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 strongMLOpsdiscipline (CI/CD, drift detection, retraining).

  • Champion feature stores, data contracts, and model documentation to make solutions reproducible and production-grade.

  • Translate model outputs into decisions and workflows that operations teams trust and adopt.

Data Readiness for AI

  • 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.

  • Champion the data-quality standards, metadata, and master data your products depend on, and drive readiness assessments before solutions move to production.

Building the Practice

  • Stand up and scale the capability within Entegris' AI, Data & Digital Enablement function - reusable patterns, playbooks, reference architectures, and evaluation frameworks.

  • Mentor product owners and analysts, grow AI literacy, and cultivate a community of practice that lets delivery scale across the organization.

Establishing Governance

  • 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.

  • Set the guardrails and approval gates appropriate to a mission-critical operations environment.

Value Creation

  • Build business cases, prioritize by ROI, and instrument value tracking against clear baselines (cost-to-serve, working capital, cycle time, quality, and service).

  • Report realized impact to supply chain and enterpriseleadership, andcontinuously reprioritize the portfolio toward measurable outcomes.

Stakeholder & Cross-Functional Leadership

  • Run discovery with business owners, lead change management and adoption, and communicate progress, value, and risk to senior leadership.

  • Influence and align business, IT, data engineering, and data science partners around a shared roadmap.

What We Seek:

  • Strong command of the ML lifecycle andMLOps- feature engineering, training, validation, deployment, monitoring, and retraining.

  • 15+ years inenterprise data, software development practices and/orproduct 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.

Outstanding Candidates Will Have:

  • Experience with ML platforms and Google Cloud Platform (GCP), including Vertex AI andBigQueryML, is a plus.

  • Experience in semiconductor, advanced materials, manufacturing, or global supply chain environments.

  • Familiarity with enterprise platforms such as Microsoft Azure AI / Copilot, Databricks, SAP, and ServiceNow.

  • Relevant certifications in product management, AI/ML, or cloud, and experience with Agile and modern product operating models.

What We Offer:

At Entegris, we invest in providing opportunity to our employees and promote from within. The new hire in this role will have the potential to grow and create relationships across the organization and be recognized for demonstrated success and adherence to company PACE values.

Our total rewards package goes above and beyond just a paycheck. Whether you're looking to build your career, improve your health, or protect your wealth, we offer generous benefits to help you achieve your goals.

  • Compensation: $175,000 - $230,000 per year range with actual pay dependent on candidate overall skills for the role

  • 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.

Entegris does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need Entegris immigration sponsorship (e.g., H1B, TN, STEM OPT, etc.) now or in the future.

At Entegris we are committed to providing equal opportunity to all employees and applicants. Our policy is to recruit, hire, train, and reward employees for their individual abilities, achievements, and experience without regard to race, color, religion, sexual orientation, age, national origin, disability, marital or military status.

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