AI Server Manufacturing Data & Analytics Engineering ManagerZT Systems group • United States
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AI Server Manufacturing Data & Analytics Engineering Manager
ZT Systems group
- United States
- United States
À propos
Secaucus, NJtime type:
Full timeposted on:
Posted 10 Days Agojob requisition id:
R-104124**What You’ll Do**The Manufacturing Data & Analytics Engineering Manager leads a team of industrial and business intelligence engineers in developing and implementing solutions that transform manufacturing decision making.
This role partners with senior leadership to shape the organization's strategy for data-driven operations, while ensuring the team's structure, frameworks, and resources are aligned to organizational goals.
The Engineering Manager is also responsible for elevating the technical engineering skills of the team by instilling rigor in methods, practices, and execution through structured coaching and mentorship.* Translate business problems into structured projects that you lead in end-to-end delivery against key objectives, from hypothesis development to final deliverables.* Ensure projects progress from scope definition through execution, adoption, and sustainability, with clear milestones and measurable business outcomes.* Act as a thought partner and subject matter expert to refine ideas, generate hypotheses, and guide the team in aligning technical solutions with financial, operational, and customer outcomes.
Apply engineering expertise, knowledge, and skills to contribute effectively to team endeavors.* Lead analytical workstreams – develop strategic, analytical, and financial frameworks to conduct analyses and solve critical business issues with minimal oversight from functional leaders.* 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.* Apply knowledge from high-precision, high-reliability manufacturing environments (e.g., semiconductors, photonics, consumer electronics, contract manufacturing) to ensure decision systems enhance quality, reliability, and operational excellence.* Lead the development of measurement systems for monitoring processes and equipment, ensuring sustainable improvements in cycle time, yield, and defect reduction.* Oversee the design, governance, and adoption of analytical models, data pipelines, dashboards, and self-service BI platforms (Python, SQL, Tableau, Power BI, etc.).* Develop organizational frameworks that ensure BI capabilities are scalable, reliable, and focused on measurable value delivery. Coach engineers on adoption strategies, lifecycle management, and information architecture.* Collaborate across manufacturing & warehouse engineering, quality engineering, IT, production operations, and external partners to align data and BI systems with business needs.* Oversee the development of data artifacts (facts, dimensions, and metrics) that comprise the information architecture for business decision making.* Define the vision & strategy for developing, implementing, and improving the industrial models, simulations, and predictive tools used to drive business planning & decision making.* Partner with leadership to define the vision and strategy for AI/ML adoption across manufacturing operations.* Structure engineering frameworks for using advanced statistical and analytical methods (regression, correlation, DOE, SPC, PFMEA, Gauge R&R, commonality studies) to identify, quantify, and control risk in complex manufacturing environments.**What You’ll Bring**The right person for this role is a leader and facilitator; is dynamic, driven, organized and detail oriented; excels in program/ project management; communicates with ease at all levels; thrives in an ambiguous environment and is adept at facilitating actions and resolving conflicts.* Bachelor’s degree in industrial engineering, mechanical engineering, or equivalent.* MBA or exposure to business, finance or economics is advantageous.* 3+ years’ relevant experience in leading technical or engineering teams.* 8+ years’ relevant experience in high-reliability, high-precision manufacturing environments.* Strong background in leveraging advanced analytical methods to characterize manufacturing data sets (alternatively 6+ years with a Master’s degree)* Six Sigma Green Belt required, Black Belt preferred.* Growth mindset: you believe in continuous learning by dedication of time, effort and energy.* Ability to convert complex (often data driven) matters to clear overviews and insights.* Proven ability to perform effectively in a demanding environment with changing workloads and deadlines.* Ability to provide technical and professional leadership to a team of engineers.* Experience in manufacturing changes in a suitable combination of ways, such as facility re-designs, facility moves, technology insertions, new product introductions, process revalidations, or Kaizen initiatives.* Strategic mindset with an ability to think broadly, refine questions, and develop analytical frameworks* Knowledge of business intelligence and analysis tools such as Python, Tableau, Power BI, or equivalents.ZT Systems assesses market data to ensure a competitive compensation package is created for all our employees. The typical base salary for this position is expected to be between $126,375 and $185,350 per year. If hired, the final base salary will be determined on an individual basis taking into consideration experience, skills, knowledge, education and/or certifications.Base salary is just one component of ZT Systems total rewards philosophy. We take pride in offering a wide range of benefits and perks that appeal to the variety of needs across our diverse employee base. Other rewards may include bonus, paid time off, generous 401k match, tuition reimbursement, wellbeing resources, and more.We are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this opportunity but your experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.#LI:SL1, #LI:Onsite
#ZTMFGPri2025!## **About ZT Systems**At ZT Systems, you’ll get to do work you are proud of alongside smart, passionate people. Every day, there are opportunities to collaborate with the best in the industry to design, build, and deliver impactful solutions to world-class customers. Along the way, you will gain hands-on experience in a face-paced environment that’s challenging, rewarding, and career-defining.A culture built around our values we work hard and think fast. We view challenges as opportunities—to do better, push harder, and be faster than we were the day before. When we fail, we learn from it and move on together. And when we succeed, we use the momentum to go even further. We create value with everything we do, building the foundation of today—and transforming the future of tomorrow.Join ZT Systems and help us build technology infrastructure that connects the world.**What We Offer**
At ZT Systems, we believe that investing in our people is key to our continued growth and innovation. When you join our team, you’ll gain access to a comprehensive and inclusive benefits package designed to support your well-being, financial security, and professional development—both now and in the future.**Compensation & Financial Security**-Competitive base salary-Performance-based annual bonus eligibility-401(k) retirement savings plan with generous company match-Tuition reimbursement for eligible education programs**Health & Wellness**-Comprehensive medical, dental, #J-18808-Ljbffr
Compétences linguistiques
- English
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