ZT Systems · 9 hours ago
AI Server Manufacturing Data & Analytics Engineering Manager
Secaucus, NJ
Full-time
Onsite
Senior Level, Lead/Staff
$126K/yr - $185K/yr
8+ years expZT Systems is a technology infrastructure company dedicated to building impactful solutions. The Manufacturing Data & Analytics Engineering Manager will lead a team in developing and implementing data-driven solutions for manufacturing decision-making while collaborating with senior leadership to shape organizational strategy.
Cloud ComputingCloud InfrastructureInternet
Responsibilities
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
Qualification
Required
Bachelor's degree in industrial engineering, mechanical engineering, or equivalent
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
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
Preferred
MBA or exposure to business, finance or economics is advantageous
Black Belt preferred
Growth mindset: you believe in continuous learning by dedication of time, effort and energy
Benefits
Competitive base salary
Performance-based annual bonus eligibility
401(k) retirement savings plan with generous company match
Tuition reimbursement for eligible education programs
Comprehensive medical, dental, and vision coverage with access to leading providers
Mental health resources and employee wellness support programs
Company-paid life and disability insurance
Generous paid time off (PTO) and company-paid holidays
Parental leave and family care support programs
Structured training programs and on-the-job learning opportunities
Matching gifts and volunteer programs to support causes you care about
Company
ZT Systems
ZT Systems is a manufacturer of computer hardware products for cloud and telecom service providers.
1001-5000 employees
H1B Sponsorship
ZT Systems has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2020 (3)
Funding
Current Stage
Late StageTotal Funding
unknown2024-08-19Acquired
Leadership Team
Tom Lattin
Vice President, Platform Engineering
Recent News
TechChannel News
2025-11-12
2025-11-11
Company data provided by crunchbase