Data Intelligence Group Director - Digital Technology

Bold Thinking. World Changing. At SkyWater, our ingenuity helps improve lives around the world by manufacturing U.S. made semiconductors that are essential ingredients of modern life. Automotive safety enhancements, life-saving medical devices, consumer electronics and American security require semiconductors. Working in our Minnesota headquarters, Florida, or Texas location — employees join together to improve the world.


Explore what’s possible. Joining our U.S. - based team means contributing to and learning about the commercialization of some of the most exciting technologies the world has ever seen. We are turning “science fiction” into everyday reality through technologies such as superconducting, 3D integrated circuits or computer chips, carbon nanotubes, photonic logic devices, micro electro-mechanical systems and other emerging device topologies. We manufacture products for aerospace and defense, medical, automotive, consumer and industrial markets, to name a few. Our customers include emerging leaders who rely on our intellectual property security and quality manufacturing services.


Step into the future. SkyWater’s values of Integrity, Excellence, Collaboration, Empowerment and Growth Mindset guide us to cultivate an empowered, learning environment. We also invest in developing highly skilled, dedicated employees — and employees who are entering the workforce for the first time, from the military, and a variety of educational backgrounds.


Are you bold thinking? Find your place on our team and help us change the world!


SkyWater is establishing the Data Intelligence Group (DIG), a newly consolidated organization bringing together Business Intelligence, Artificial Intelligence, Integration, and Data functions under a single, unified team. The Director, DIG will be the group's first leader — responsible for building the team, establishing operating standards, and delivering enterprise data and analytics capability that supports manufacturing operations, compliance, and business decision-making across SkyWater's facilities.
This is a highly visible, foundational role reporting to the VP of IT. The Director will help define how SkyWater manages and leverages data as a strategic asset, working closely with IT, OT, Engineering, and business stakeholders.
Key Responsibilities
• Lead and grow a multidisciplinary team spanning Business Intelligence, AI/ML, systems integration, and data management/data engineering.
• Define and execute the strategic roadmap for enterprise data architecture, analytics, and integration platforms.
• Establish data governance standards, ensuring data quality, consistency, and appropriate controls across source systems.
• Partner with manufacturing, engineering, and business leaders to translate operational and business needs into data and analytics solutions.
• Oversee integration architecture connecting ERP, MES, and other enterprise systems, ensuring reliable, scalable data flow across the organization.
• Evaluate and guide adoption of AI/ML capabilities that deliver measurable business and manufacturing value.
• Ensure data practices align with applicable compliance requirements, including those relevant to SkyWater's DoD Trusted Foundry status (e.g., CMMC-related data handling and security controls).
• Manage vendor relationships, platform selection, and budget for the group's tools and technologies.
• Develop and mentor team members; build a scalable organizational structure as the group matures.
• Represent the Data Intelligence Group in cross-functional planning and, over time, help shape the working relationship with counterparts at IonQ, including an eventual reporting relationship into IonQ's Chief Data Officer as that function is established.
Required Qualifications
• Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or related field; equivalent experience considered.
• 8+ years of progressive experience in data, analytics, BI, or integration roles, including at least 3 years in a formal leadership/people management capacity.
• Demonstrated experience building or scaling a data/analytics function, ideally in a manufacturing, industrial, or technology environment.
• Strong knowledge of BI platforms (e.g., Power BI, Tableau, or similar), data warehousing/data lake architecture, and modern integration tools/patterns (ETL/ELT, APIs, middleware).
• Working knowledge of AI/ML concepts and practical experience guiding AI-driven initiatives (not necessarily hands-on data science).
• Experience with ERP and enterprise systems integration (SAP, Oracle, or similar) a plus.
• Excellent stakeholder management skills; ability to translate technical concepts for executive and operational audiences.
• Experience operating in a regulated, compliance-sensitive,