Manufacturing Data & Analytics Leader (Hybrid)

Daisy Brand

Dallas (TX)

Hybrid

USD 110,000 - 190,000

Full time

4 days ago
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Job summary

Daisy Brand is seeking a Manufacturing Data and Analytics Manager to lead our data strategy across facilities, driving MES and analytics to improve OEE, throughput, and quality in a food and beverage manufacturing environment.

The role will manage the MES team and build a new Data Analyst team, shaping the data architecture, governance, and performance reporting across sites while partnering with IT, Engineering, and Operations.

Qualifications

  • Bachelor's degree in Engineering, Data Analytics, CS, or related field.
  • 8+ years of experience in manufacturing data, analytics, or digital manufacturing roles.
  • Experience leading multi-site digital manufacturing initiatives.
  • Strong experience with MES platforms and manufacturing data systems.

Responsibilities

  • Develop and execute a corporate manufacturing data strategy aligned with business and operational goals.
  • Lead design and deployment of analytics solutions to improve OEE, throughput, yield, downtime, and quality.
  • Establish standardized data models, KPIs, and reporting frameworks across all facilities.
  • Own the roadmap, implementation, and governance of MES platforms across the enterprise.
  • Define and maintain the manufacturing data architecture, including data collection, storage, and accessibility standards.
  • Lead, mentor, and develop MES Team Leader and the Manufacturing Data Analyst team.
  • Collaborate with IT, Engineering, Operations, and Enterprise Data teams on data initiatives.

Skills

Manufacturing data analytics
MES leadership
Data governance
Cross-functional leadership
Industrial automation

Education

Bachelor's degree in Engineering/CS/Data Analytics
Advanced degree preferred

Tools

AVEVA/Wonderware
Rockwell
Siemens
ERP integration tools

Job description

Daisy Brand is seeking a Manufacturing Data and Analytics Manager to lead our data strategy across facilities, driving MES and analytics to improve OEE, throughput, and quality in a food and beverage manufacturing environment.

The role will manage the MES team and build a new Data Analyst team, shaping the data architecture, governance, and performance reporting across sites while partnering with IT, Engineering, and Operations.

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