Manufacturing Data & Analytics Engineering Manager - AI & Hyperscale

Join to apply for the Engineering Manager, Industrial Engineering role at ZT Systems

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Join to apply for the Engineering Manager, Industrial Engineering role at ZT Systems

What You’ll Do

The Industrial Engineering Manager leads the industrial engineering team in developing and implementing solutions that drive the transformation of manufacturing decision making. The Industrial Engineering Manager owns collaborating with senior leadership to shape and evolve the manufacturing organization's decision-making strategy and ensuring the industrial engineering team's structure, frameworks, and resourcing are aligned to organizational goals.

• Demonstrate strong leadership and influence management skills, including the ability to challenge the status quo and manage key senior stakeholders.
• Lead, mentor, and develop a high-performance team to manage complex projects and technical initiatives and identify innovative solutions. Invest in the professional development of the engineering team including coaching, performance reviews, and long-term career guidance.
• Translate business problems into structured projects that your team will lead in end-to-end delivery against key objectives, from hypothesis development to final deliverables.
• Act as a thought partner and subject matter expert to refine ideas, generate hypotheses, and analyze data to formulate solutions. Apply engineering expertise, knowledge, and skills to contribute effectively to team endeavors.
• Lead analytical work streams – develop strategic, analytical, and financial frameworks for your team to conduct analyses and solve critical business issues with minimal oversight from functional leaders.
• Align with internal stakeholders across global manufacturing & warehouse engineering, quality engineering, and production operations to understand and prioritize their needs within the organization's decision-making strategy.
• Develop the business value driven, self-service model for delivering manufacturing decision systems by managing and sustaining a strong working relationship with dependent teams across the organization (such as data engineering, infrastructure, and applications teams).
• Engage with external partners, including customer operations and business planning, to anticipate and support current and future customer focus areas.
• Define & refine the industrial engineering service lines to better define the engineering team's roles and the focus their contributions on business value.
• Lead the design, build, and maintenance of analytical models, data pipelines, data engineering solutions, data integration solutions, and automated insights.
• Empower the industrial engineering team to develop and implement measurement systems for monitoring processes and equipment to achieve company objectives for continuous improvement.

• Demonstrate strong leadership and influence management skills, including the ability to challenge the status quo and manage key senior stakeholders.
• Lead, mentor, and develop a high-performance team to manage complex projects and technical initiatives and identify innovative solutions. Invest in the professional development of the engineering team including coaching, performance reviews, and long-term career guidance.
• Translate business problems into structured projects that your team will lead in end-to-end delivery against key objectives, from hypothesis development to final deliverables.
• Act as a thought partner and subject matter expert to refine ideas, generate hypotheses, and analyze data to formulate solutions. Apply engineering expertise, knowledge, and skills to contribute effectively to team endeavors.
• Lead analytical work streams – develop…