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Reimagining what's possible for food and agriculture
The Role
Leads complex manufacturing data and analytics requirements for Smart Manufacturing initiatives. Defines reporting solutions, analyzes data, translates business needs into scalable analytics capabilities, and partners with development, data engineering, IT, and OT teams. Manages stakeholders, supports solution delivery and testing, validates data quality, and coaches teams on analytics consumption. Requires an engineering degree, eight years of relevant experience, manufacturing IT consulting expertise, ISA-95 and S-88 knowledge, Agile experience, and exposure to machine learning or AI implementation.
Summary Generated by Built In
Job Purpose and Impact
The Senior Consultant - Data & Analytics (Smart Manufacturing) plays a critical role in enabling Smart Manufacturing initiatives by translating manufacturing business needs into scalable data and analytics solutions. This role focuses on capturing and analyzing complex manufacturing data requirements, defininganalyticsand reporting solutions, and working closely with development, data engineering, IT, and OT teams to design, test, and deliver high-quality outcomes.
Operating with minimal supervision, the consultant serves as a bridge between manufacturing stakeholders and technical teams-ensuring analytics products, features, and insights align with operationalobjectivesand deliver measurable business value.
Key Accountabilities
Qualifications
#Standard
The Senior Consultant - Data & Analytics (Smart Manufacturing) plays a critical role in enabling Smart Manufacturing initiatives by translating manufacturing business needs into scalable data and analytics solutions. This role focuses on capturing and analyzing complex manufacturing data requirements, defininganalyticsand reporting solutions, and working closely with development, data engineering, IT, and OT teams to design, test, and deliver high-quality outcomes.
Operating with minimal supervision, the consultant serves as a bridge between manufacturing stakeholders and technical teams-ensuring analytics products, features, and insights align with operationalobjectivesand deliver measurable business value.
Key Accountabilities
- DATA &REQUIREMENTANALYSIS:Lead analysis of complex manufacturing data, reporting, and analytics requirements across Smart Manufacturing initiatives. Elicit, document, and prioritize requirements; define analytics use cases, solution scope, and acceptance criteria. Act as a functional and solution consultant for analytics-enabled manufacturing capabilities.
- DATA ANALYSIS: Conducts complex data analyses to uncover trends, patterns, and actionable insights for decision making.
- STAKEHOLDER MANAGEMENT: Cultivates andmaintainspositive partner's relationships to understand their data/insightneeds, provides insights and finds improvement opportunities, and ensures solutions address keyobjectives.
- SOLUITION TRANSLATION AND DELIVERY:Translate data insights and business requirements into analytics features and reporting capabilities, partnering with development and data engineering teams to deliver scalable,highqualitysolutions.
- COLLABORATION:Work with minimal supervision to collaborate with business partners and crossfunctional IT and OT teams to align analytics solutions with product vision and operationalobjectives.
- LITERACY: Coaches and advisesto maturedata consumption and analytics capabilities.
- QUALITY ASSURANCE & DATA VALIDATION: Ensures the accuracy, consistency, and security of data across all reports and analyses.Support system integration, testing, validation, and user acceptance to ensure solutions meet functional and quality expectations
Qualifications
- Have an Engineering degree with minimumrequirementof8years of relevant work experience.
- Workedas functional/solution consultant inManufacturing IT domain involving implementation of one or more initiativesaround:MES/MOM,ManufacturingReporting, Smart Manufacturing
- UnderstandISA 95, S-88standardsandmanufacturingdata domain model
- Experience with Agilemethodologyin project implementation
- Worked in at least one initiative involving machine learning / AI implementation in smart manufacturing initiative
#Standard
Skills Required
- Engineering degree
- Minimum eight years of relevant work experience
- Experience as a functional or solution consultant in the Manufacturing IT domain
- Experience implementing MES/MOM, manufacturing reporting, or Smart Manufacturing initiatives
- Understanding of ISA-95 standards and S-88 standards
- Experience with Agile methodology in project implementation
- Experience contributing to at least one machine learning or AI implementation in a Smart Manufacturing initiative
What the Team is Saying
Gaby
Data Engineering Lead
Landon
North America Service Assurance Manager
Navita
Software Engineering Senior Supervisor
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William Orgertrice
Data Engineer
Kayode D.
Principal Data Engineer
Patricia
Supply Chain Learning & Development and Digital Support Lead
Heather W.
Software Engineer
Kristen K.
Factory of the Future Digital Product Manager
Shrey B.
Senior Software Engineer
Madhuri P.
Senior Data Scientist
William Orgertrice
Data Engineer — Data Function, Platforms and Product Engineering
Navita S.
Software Engineering Senior Supervisor
Heather W.
Software Engineer
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Cargill Compensation & Benefits Highlights
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Healthcare Strength — Health coverage is described as comprehensive, including medical, dental, vision, mental health/EAP resources, wellness programs, and partner services like Bright Horizons and Milk Stork on the official benefits hub. Feedback suggests these offerings provide robust support for both physical and psychological well-being.
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Retirement Support — Retirement programs feature immediate 401(k) eligibility with a competitive company match, plus an ESOP component and Vanguard administration, with some materials also noting an employer-funded retirement account. Feedback suggests the multi-layered savings design and clear match mechanics are notable strengths.
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Leave & Time Off Breadth — PTO tiers start at 15 days and scale up to 30 days with tenure, alongside defined holidays and floating personal days. Paid family leave for bonding and caregiving further rounds out a well-structured time-off program.
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The Company
What We Do
We are a family company providing food, ingredients, agricultural solutions and industrial products to nourish the world in a safe, responsible and sustainable way. We connect farmers with markets so they can prosper. We connect customers with ingredients so they can make meals people love. And we connect families with daily essentials— from eggs to edible oils, salt to skincare, feed to flooring. By providing customers with products that are vital for living, we help businesses grow, communities prosper and consumers live well in their daily lives.
Why Work With Us
The decision to join Cargill can open the door to a world of possibility. As part of our Digital, Technology & Data team, you’ll get to be part of a large and diverse group full of unique perspectives united by a common, higher purpose while building a rewarding career full of opportunity, growth and the satisfaction of knowing your work matters.
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Cargill Teams
Cargill Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
Not Specified
