Manufacturing Data & Analytics Leader (Hybrid)

Daisy Brand; Dallas (TX); Hybrid; USD 110,000 - 190,000; Full time

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.