Head of Software

Title: Head of Data

Location/Schedule: 5 Days a week onsite - Dallas, TX - 75243

Company/Role Overview:

We are seeking an experienced Head of Data to lead our data strategy and execution within the semiconductor industry. This role is ideal for a visionary leader with a proven track record of overseeing large-scale data operations, developing data-driven strategies, and managing teams of 100+ professionals. You will be responsible for leveraging data analytics, AI, and machine learning to drive innovation, optimize manufacturing processes, and enhance business intelligence across the organization. The company is a semiconductor manufacturing plant undergoing a data transformation, transitioning from on-prem infrastructure to an onsite cloud. This role will lead the digital transformation by integrating all teams under a unified cloud infrastructure, partnering with the business to overhaul the software engineering, AI, and automation teams.

Responsibilities:

• Develop and execute the company’s data strategy, ensuring alignment with business goals and technological advancements in the semiconductor sector.
• Oversee large-scale data operations, managing infrastructure, analytics, and governance for a global team.
• Lead a team of 100+ data professionals, fostering a high-performance culture and ensuring best practices in data engineering, analytics, and AI.
• Define and implement a large-scale data roadmap, ensuring its successful execution at an enterprise level.
• Implement cutting-edge AI/ML solutions to enhance semiconductor manufacturing, yield optimization, and predictive maintenance.
• Drive data-driven decision-making by integrating real-time analytics and predictive modeling into business processes.
• Establish and enforce data governance policies, ensuring compliance with industry regulations and security standards.
• Collaborate with cross-functional teams, including engineering, product development, and executive leadership, to drive innovation and operational efficiency.
• Overhaul the software engineering function, integrating it into a cloud-based infrastructure.
• Lead the AI and automation teams to leverage data for optimizing semiconductor production and quality control.
• Evaluate and implement new technologies, tools, and methodologies to enhance data capabilities and support digital transformation initiatives.

Qualifications:

• 15+ years of experience in data leadership roles, with a strong background in the semiconductor industry or large-scale manufacturing (vehicles, microchips, microcontrollers, industrial applications, embedded processors, etc.).
• Proven experience managing and scaling large teams (100+ employees) across multiple geographies.
• Expertise in big data architecture, cloud computing (AWS, Azure, or GCP), and data engineering frameworks.
• Hands-on experience with Python for data engineering and analytics.
• Experience defining and implementing large-scale data roadmaps.
• Strong understanding of AI/ML applications in semiconductor manufacturing, supply chain optimization, and process automation.
• Exceptional leadership and communication skills, with the ability to influence stakeholders and drive strategic initiatives.
• Advanced degree in Computer Science, Data Science, Electrical Engineering, or a related field preferred.

Benefits:

• Competitive salary and yearly bonus.
• Relocation package available.
• Comprehensive health, dental, and vision insurance.
• Generous PTO.
• Very generous equity package.

If you are a data-driven leader with extensive semiconductor industry experience, a strong cloud transformation background, and a passion for innovation, we invite you to apply and shape the future of our data strategy.