Staff Engineer, Front End Labor Data Engineering
Micron Technology · Fab 10A, Singapore ·
- Seniority
- Staff
- Category
- Data engineering
- Company size
- 1000+
Micron Technology · Fab 10A, Singapore ·
Micron Memory Malaysia Sdn Bhd · Italy
Pinterest · San Francisco, CA, US; Remote, US
Amgen · India - Hyderabad
Lead data engineering and AI-driven process mining to optimize semiconductor labor workflows, build dashboards, and drive measurable productivity gains across global sites.
Our vision is to transform how the world uses information to enrich life for all.
Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
In Front End, we are expanding the labor productivity and data engineering team to drive transformation in labor workflow. We will drive measurable outcomes in labor productivity and annualized hour savings, specifically by enabling a new process-mining capability through setting up Digital Footprint. We will work with various collaborators including business or functional owners, system owners, end-users, IT and SMAI to provide insights of the process flow as recorded digitally.
Together with relevant collaborators, you will then use the insights from Digital Footprints and other labor information to co-create workflow transformations that scale with speed. We will regularly question every requirement, delete every possible step in a process, simplify and optimize processes rigorously, accelerate cycle time and automate last. These approaches will enable sustainable reductions in labor hours, enhance labor efficiency, shorten cycle times, and improve overall operating cadence. We will drive top-quality technology-enhanced workflows. Be bold. Scale with speed !
If you have what it takes, join us to be part of this exciting transformation!
Responsibilities
Data Engineering
Drive First-Of-A-Kind process mining capability through setting up Digital Footprint, capturing all intended and unintended process flow digitally, across more than 10 functional teams in Front End globally. Scale with speed.
Design and formulate data visualization that easily translate into actionable insights. Visualize simply.
Together with business owners, system owners, and decision makers, regularly questions every requirement, delete every possible steps, simplify and optimize process flow rigorously. Be a change agent.
Drive Artificial Intelligence-based solutions to optimize the digital footprint that translate to labor hours savings and efficiency uplift that scale with speed. Make an impact.
Lead standardization of digital processes across sites to enable scalable and repeatable execution aligned with enterprise goals. Ensure sustainable change.
Drive year over year improvement in Front-End labor productivity Move/ Headcount (VAM/HC) in support of the AI transformation. Positively improve bottom line.
Integrate labor initiatives across AI, automation, robotics, DREAM team, and innovation programs into a cohesive execution plan as necessary. Track, validate, and report productivity benefits including labor hour reduction, VAM/HC, and annualized savings in partnership with Site’s Labor Champions & Finance team. Roll-up comprehensive labor improvement status.
Data Driven Insights and Reporting
Develop critical metric dashboards and management reporting to provide clarity into progress, adoption, and realized benefits.
Translate data into actionable insights to support fact-based prioritization and decision making.
Support workload forecasting, productivity baselining, and scenario modeling by coordinating requirements and validating outputs with collaborators.
Front End Network Productivity and Enablement
Monitor labor performance metrics, identify gaps, benchmark standard processes, and support performance recovery actions when needed.
Enable cross site collaboration to scale successful solutions and strengthen network impact.
Guide network teams to identify and prioritize productivity opportunities using Digital Footprint and Agile Workload Management System (AWMS) data and any relevant data to convert effort into measurable time savings.
Support development and execution of functional AI roadmaps across Front-End organizations with focus on reuse and scalability.
Drive structured use case intake, value assessment, feasibility review, and deployment planning to ensure sustainable adoption.
Requirements
Degree in Engineering, Industrial Engineering, Statistics, Business, or a related field, or equivalent experience.
Demonstrated ability in semiconductor processes and systems.
Graduates with strong analytical skills, business insight, leadership skill and working knowledge of GenAI concepts and delivery, may apply.
Strong program management skills (portfolio planning, governance, benefits realization, dependency management, guiding transitions).
Experience solving business problems and improving outcomes, including but not limited to acting as the liaison business and technical teams.
Experience leading various collaborators, process owners, IT teams, and end users towards validated practical solutions that translate to business impact.
Experience leading programs/projects with demonstrated outcomes in productivity, operational efficiency, or workforce/labor optimization.
Working knowledge of GenAI concepts and delivery (use-case framing, prompt/workflow design basics, evaluation of value and risk, adoption metrics).
Experience delivering automation and low-code solutions (e.g., Power Automate, Copilot Studio, UiPath, SQL or similar), including requirements-to-deployment lifecycle.
Strong analytical capability (critical metrics, dashboards, baseline/benefits tracking); able to translate data into decisions and execution plans.
Good communication and collaborator management skills across site, central, and executive audiences.
Proficiency with Microsoft 365 (Excel/presentation software/Teams) and data visualization tools (e.g., Power BI).
About Micron Technology, Inc.
We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.
To learn more, please visit micron.com/careers
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
To request assistance with the application process and/or for reasonable accommodations, please contact [email protected]
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.