Data Engineering and Data Science CoE (Industrial Ops & Safety)
Chesterfield, MO -Missouri, US, 63017
Location : Field - Work from home
City : Chesterfield
State : Missouri (US-MO)
Country : United States (US)
Requisition Number : 30904
Bunge has an exciting opportunity available for a Data Engineering and Data Science CoE (Industrial Ops & Safety). In this role you will be part of a global team working on challenging, meaningful projects impacting core business activities. Since 1818, Bunge has been connecting farmers to consumers to deliver essential food, feed, and fuel to the world. Looking to the future, our ambition is to continuously reinvent ourselves, leveraging data to be at the forefront of analytics, technology and talent to accomplish our purpose in a better, faster and simpler way. Bunge is committed to operating and thriving in the digital world – creating world class agile teams where teammates are empowered and encouraged to collaborate and test and learn to succeed. At Bunge, people don’t just come here to work, they come here to grow – solving challenges that directly impact the world with a diverse team of thinkers and doers. Bunge offers a strong compensation and benefits package, generous paid time off program, flexible work arrangements, and opportunity to progress. Our hybrid work environment provides a balance of in office and remote work.
Most importantly, in all we do we live our values: • Act as One Team by fostering inclusion, collaboration, and respect • Drive for Excellence by being agile, innovative and efficient • Do What's Right by acting safely, ethically, and sustainably
Overview:
We are looking for an experienced leader to join the Data & Analytics team in the Business Technology (BT) organization. The COE lead will be responsible for overseeing the development of data competency within BT. This leader is responsible for providing people leadership to COE members and developing their skillsets. They will partner with product squads to understand resource needs and how COE members can be allocated across teams accordingly.
Essential Functions:
· Establish and articulate a clear vision across the COE and lead COE members in efforts to support application teams and the business; build new analytics capabilities; and establish new data processes and tooling
· Regularly review resource allocation in the COE, work with digital leaders to ensure that COE members are being utilized effectively, and oversee the COE forecast and budget
· Define professional standards/work methodology within the COE
· Lead day to day management, coaching, guidance, and support of the CoE team
· Set up interaction and knowledge sharing processes among COE members assigned to distinct product squads
· Set and continuously evolve the mission and vision for the COE, in line with industry and organization standards
· Identify, hire, develop, inspire, and retain the best talent
Requirements:
· Advanced degree (MS or PhD) in Computer Science, Data Science, or a related field
· 10+ years of experience leading a Center of Excellence (or equivalent org), responsible for building out best practices and capabilities in data science and/or data engineering
· Recognized broadly as an expert in data science and/or data engineering
· Demonstrated ability to manage, interview, hire, and assess data science and/or data engineering talent
· Demonstrated expertise in the Industrial Ops and/or Safety domain is preferred
· Proven skills in coaching team members in the areas of performance, standards and work methods
· Clear passion for driving innovation, high quality and outcome-based value delivery
Bunge (NYSE: BG) is a world leader in sourcing, processing and supplying oilseed and grain products and ingredients. Founded in 1818, Bunge’s expansive network feeds and fuels a growing world, creating sustainable products and opportunities for more than 70,000 farmers and the consumers they serve across the globe. The company is headquartered in St. Louis, Missouri and has 25,000 employees worldwide who stand behind more than 350 port terminals, oilseed processing plants, grain facilities, and food and ingredient production and packaging facilities around the world.
Bunge is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, transgender status, national origin, citizenship, age, disability or military or veteran status, or any other legally protected status. Bunge is an Equal Opportunity Employer. Minorities/Women/Veterans/Disabled
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Computer Science Engineering Industrial PhD
Perks/benefits: Career development Flex hours Flex vacation Team events
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