Lead Product Owner – Smart Manufacturing & AI for Finance

Our vision is to transform how the world uses information to enrich life for all.

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.

We are seeking a bold and visionary Product Owner to lead the charge in revolutionizing financial intelligence through AI in Boise, ID (preferred), Manassas, VA, or San Jose, CA. This is not your typical product role; this is a high-impact opportunity to shape the future of finance at the intersection of data, design, and deep tech.

As the Product Owner for Smart Manufacturing & AI for Finance, you will be the architect of intelligent digital solutions that power strategic decision-making across our global finance organization. You’ll collaborate with world-class data scientists, engineers, and business leaders to prototype cutting-edge tools, map complex data ecosystems, and deliver AI-driven insights that redefine operational excellence. You will lead transformation at scale, collaborate effectively, think ambitiously, and envision finance's future.

Responsibilities:

• Product Ownership & Vision: Define and communicate the product vision and roadmap for finance-focused AI initiatives, including deployment and operational strategies. Provide technical leadership within multi-functional teams; define requirements for proposed solutions and prioritize & coordinate activities between engineering teams & business function processes. Lead the design and prototyping of AI-driven financial tools by collaborating with data science and UX/UI teams to gather user feedback, develop iterative wireframes, and build interactive prototypes that demonstrate proof of concept, mirror real-world finance workflows, and align with strategic business objectives. Define and implement data mapping strategies by working with data engineers and business analysts to trace data flows from source systems (e.g., ERP, MES) to analytical platforms, ensuring semantic consistency, transformation logic, and alignment with reporting requirements. Find opportunities for improvement through data analysis; work on implementation plans based on those opportunities

• Project Execution: Collaborate with global data experts and functional leaders to deliver AI projects and advanced analytics use cases. Translate business requirements into user stories and technical specifications; prioritize features based on business value and feasibility. Drive agile development cycles, including sprint planning, reviews, and retrospectives, to ensure timely delivery and continuous improvement. Conduct exploratory data analysis (EDA) using tools like Python, SQL, or Power BI to uncover trends, anomalies, and correlations; collaborate with data architects to validate data models; and maintain comprehensive documentation of data lineage, transformation rules, and analytical assumptions to support transparency and audit-ability. Support rapid prototyping to test hypotheses and iterate on solutions before full-scale development.

• Customer Engagement: Serve as the primary liaison between business customers and technical teams. Gather and validate user requirements, ensuring alignment with strategic objectives. Provide regular updates to leadership and customers on progress, risks, and mitigation plans.

Minimum Qualifications:

• Bachelor’s degree in Engineering, Computer Science, Finance, or related field.

• 5+ years' experience in roles like Product Ownership, Product Management, Solution Delivery, Sales, BU, or Finance, ideally in a setting dedicated to innovation.

• Experience with agile methodologies and tools (e.g., Jira, Confluence).

• Strong communication skills, both written & verbal; ability to effectively communicate complex ideas to large groups as well as strong presentation skills when needed.

• Strong problem-solving skills.

Preferred Qualifications:

• Masters degree in Engineering, Computer Science, Finance, or related field.

• Experience working in a semiconductor or high-tech manufacturing environment.

• Highly proficient in financial data analysis and reporting tools, including Power BI and Tableau.

• Familiarity with data analytics platforms and cloud infrastructure

• Strong understanding of Industry 4.0 technologies, data analytics, and AI/ML applications.

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