Intel Foundry Data Steward/Scientist
Intel5 Locations$162k – $228kPosted 1 April 2026
Tech Stack
Job Description
Job Details:
Job Description:
The Role and Impact:
As a Intel Foundry Data Steward/Scientist, you will play a pivotal role in transforming Intel's manufacturing and supply chain operations. Your expertise in data analysis and machine learning will drive strategic supply chain planning and optimization, helping Intel maintain its leadership in the semiconductor industry. By leveraging data visualization and cutting-edge analytics, you will uncover insights that shape operational decisions and enhance efficiency across Intel's global footprint. Collaborating with cross-functional teams, you will influence key business outcomes and contribute to Intel's mission of advancing technology that enriches lives.
As a Intel Foundry Data Steward/Scientist your responsibilities will include but are not limited to:
Develop and implement data-driven solutions to optimize manufacturing planning and execution.
Analyze historical and real-time data to identify trends and forecast future demand and production needs.
Collaborate with internal and external stakeholders to understand requirements and deliver actionable insights.
Create visualizations, dashboards, and reports using tools such as Power BI, Tableau, or D3 to communicate findings effectively.
Perform advanced data mining and scripting to extract insights from structured and unstructured datasets.
Drive continuous improvement initiatives by identifying areas for operational enhancement.
Stay abreast of emerging trends in data science and manufacturing, ensuring Intel remains at the forefront of innovation.
Behavioral traits that we are looking for:
Excellent problem solving and communication skills to drive adoption of recommended changes, influence stakeholders and drive change.
Ability to collaborate with engineers across multiple teams.
Ability to multitask and work through ambiguity.
Intel invests in our people and offers a complete and competitive package of benefits employees and their families through every stage of life.
See https://www.intel.com/content/www/us/en/jobs/benefits.html for more details.
Life at Intel link: https://www.intel.com/content/www/us/en/jobs/life-at-intel.html
Qualifications:
You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Note:
This position is not eligible for Intel immigration sponsorship.
Minimum skills and experience that will get you noticed:
Bachelor's degree or higher in Computer Science, Management Information Systems or a related STEM discipline and 5 years experience working in or around Supply Chain Planning environment.
5 years of experience in data visualization and dashboard creation using tools like Power BI, Tableau, or D3.
Preferred skills and experience that will make you stand out :
Experience with Supply Chain Planning Software (Blue Yonder, Kinaxis etc.).
Previous related work experience in a semiconductor foundry preferred.
Job Type:
Experienced Hire
Shift:
Shift 1 (United States of America)
Primary Location:
US, California, Folsom
Additional Locations:
US, Arizona, Phoenix, US, California, San Jose, US, California, Santa Clara, US, Oregon, Hillsboro
Business group:
Intel Foundry strives to make every facet of semiconductor manufacturing state-of-the-art while delighting our customers -- from delivering cutting-edge silicon process and packaging technology leadership for the AI era, enabling our customers to design leadership products, global manufacturing scale and supply chain, through the continuous yield improvements to advanced packaging all the way to final test and assembly. We ensure our foundry customers' products receive our utmost focus in terms of service, technology enablement and capacity commitments. Employees in the Foundry Technology Manufacturing are part of a worldwide factory network that designs, de ... (truncated, view full listing at source)
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