Job description

Cargill is a family company committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. We sit at the heart of the supply chain, partnering with producers and customers to source, make and deliver products that are vital for living. By providing customers with life’s essentials, we enable businesses to grow, communities to prosper, and consumers to live well. Our 155,000 team members innovate with purpose, providing customers with life’s essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing—today and for generations to come. Job Purpose and Impact The Director, Data Engineering – Manufacturing Data job leads the team responsible for the execution of the tactical and strategic plans related to design, development and maintenance of robust data systems. This job provides guidance to the team that ensures the efficient processing and availability of data for analysis and reporting. Key Accountabilities • DATA SYSTEMS: Establishes and maintains robust data systems that support large and complex data products, ensuring reliability and accessibility for partners. • SOLUTIONS DEVELOPMENT: Leads the development of technical products and solutions using big data and cloud based technologies, ensuring they are designed and built to be scalable, sustainable and robust. . • DATA PIPELINES: Oversees and guides the design and development of data pipelines that facilitate the movement of data from various sources to internal databases. • DATA INFRASTRUCTURE: Handles the construction and optimization of data infrastructure, resolving appropriate data formats to ensure data readiness for analysis. • DATA FORMATS: Examines and settles appropriate data formats to optimize data usability and accessibility across the organization. • STAKEHOLDER MANAGEMENT: Liaises with partners to understand data needs and ensure alignment with organizational objectives. • DATA FRAMEWORKS: Champions development standards and brings forward prototypes to test new data framework concepts and architecture patterns supporting efficient data processing and analysis and promoting standard methodologies in data management. • AUTOMATED REPORTING SYSTEMS: Leads the creation and maintenance of automated reporting systems that provide timely insights and facilitate data driven decision making. • DATA MODELING: Oversees data modeling to ensure the preparation of data in databases for use in various analytics tools and to configurate and develop data pipelines to move and improve data assets. • TEAM MANAGEMENT: Manages team members to achieve the organization's goals, by ensuring productivity, communicating performance expectations, creating goal alignment, giving and seeking feedback, providing coaching, measuring progress and holding people accountable, supporting employee development, recognizing achievement and lessons learned, and developing enabling conditions for talent to thrive in an inclusive team culture. Qualifications • Minimum requirement of 6 years of relevant work experience. Typically reflects 10 years or more of relevant experience. Preferred qualiications: • Manufacturing, supply chain, industrial IoT, or operational technology experience. • Experience enabling AI, machine learning, and advanced analytics through modern data platforms. • Experience working with large-scale enterprise data ecosystems. • Experience building product-oriented engineering organizations. • Experience integrating ERP, manufacturing, historian, quality, maintenance, and operational data domains into common data models. • Experience developing data capabilities that directly support decision intelligence and AI-driven operations. • Leadership experience building and managing high-performing data engineering teams. • Experience partnering with business leaders to translate operational needs into scalable technical solutions. • Experience driving technology transformation and organizational change. Equal Opportunity Employer, including Disability/Vet To apply using chat/text, please click Apply Now button OR use this link to create a login to apply.

Requirements

Must-haves

Job Purpose and Impact
Key Accountabilities
DATA SYSTEMS: Establishes and maintains robust data systems that support large and complex data products, ensuring reliability and accessibility for partners.
SOLUTIONS DEVELOPMENT: Leads the development of technical products and solutions using big data and cloud based technologies, ensuring they are designed and built to be scalable, sustainable and robust. .
DATA PIPELINES: Oversees and guides the design and development of data pipelines that facilitate the movement of data from various sources to internal databases.
DATA INFRASTRUCTURE: Handles the construction and optimization of data infrastructure, resolving appropriate data formats to ensure data readiness for analysis.
DATA FORMATS: Examines and settles appropriate data formats to optimize data usability and accessibility across the organization.
STAKEHOLDER MANAGEMENT: Liaises with partners to understand data needs and ensure alignment with organizational objectives.
AUTOMATED REPORTING SYSTEMS: Leads the creation and maintenance of automated reporting systems that provide timely insights and facilitate data driven decision making.
DATA MODELING: Oversees data modeling to ensure the preparation of data in databases for use in various analytics tools and to configurate and develop data pipelines to move and improve data assets.
Minimum requirement of 6 years of relevant work experience. Typically reflects 10 years or more of relevant experience.
Manufacturing, supply chain, industrial IoT, or operational technology experience.
Experience enabling AI, machine learning, and advanced analytics through modern data platforms.
Experience working with large-scale enterprise data ecosystems.
Experience building product-oriented engineering organizations.
Experience integrating ERP, manufacturing, historian, quality, maintenance, and operational data domains into common data models.
Experience developing data capabilities that directly support decision intelligence and AI-driven operations.
Leadership experience building and managing high-performing data engineering teams.
Experience partnering with business leaders to translate operational needs into scalable technical solutions.
Experience driving technology transformation and organizational change.
Equal Opportunity Employer, including Disability/Vet
To apply using chat/text, please click Apply Now button OR use this link to create a login to apply.

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Platform: radancy
Effort: medium