Job Description
Are You Ready to Make It Happen at Mondelēz International?
Join our Mission to Lead the Future of Snacking. Make It With Pride.
Are You Ready to Make It Happen at Mondelēz International?
Join our Mission to Lead the Future of Snacking. Make It With Pride.
You will be crucial in optimizing data architecture within R&D and also identifying opportunities for automation. You will work with various stakeholders to determine how to use business data for business solutions/insights.
How you will contribute
You will:

• Partner with R&D's Lead Data Engineer and cross-functional stakeholders to assess current data architecture and identify optimization opportunities.
• Collaborate with IT to understand overarching organizational architecture standards and strategies, ensuring alignment of proposed solutions.
• Evaluate R&D's existing data architecture against organizational standards and industry best practices.
• Research, evaluate, and recommend automation tools (such as low code or no code) and platforms suitable for enhancing data accessibility and utilization within R&D.
• Develop prototypes and proof-of-concepts using selected automation tools to demonstrate their effectiveness in streamlining data access processes.
• Work with IT to integrate selected automation solutions seamlessly into existing systems and architecture, ensuring compatibility and scalability.
• Provide guidance and support to R&D's Lead Data Engineer and stakeholders on implementing and utilizing automated solutions effectively.
• Collaborate with IT to monitor the performance of implemented automation solutions and make necessary adjustments to optimize effectiveness.
• Stay updated on emerging trends and technologies in data architecture and automation, sharing insights and best practices with relevant stakeholders.
• Proactively identify opportunities for process improvement and automation beyond data architecture, contributing to overall organizational efficiency and productivity.

What you will bring
A desire to drive your future and accelerate your career and the following experience and knowledge:

• Using data analysis to make recommendations to senior leaders
• Technical experience in roles in best-in-class analytics practices
• Experience deploying new analytical approaches in a complex and highly matrixed organization
• Savvy in usage of the analytics techniques to create business impacts

More about this role
What you need to know about this position:
What extra ingredients you will bring:

• A passion for making better use of our data.
• A desire to drive your future and accelerate your career and the following experience and knowledge:
• Strong understanding of database management systems, data modelling & data modelling tools like Erwin, integration techniques, and automation concepts.

Education / Certifications:
A BS or MS degree in a technical field, including Mechanical, Chemical Engineering, Data Science, Mathematics, Food Science, Physics, Computer Science, etc.
Job specific requirements:

• At least six years of experience in data analytics, data architecture analysis, optimization, and automation, preferably within a similar function or industry.
• Experience with low code or no code automation tools and platforms such as PowerApps, Robotic Process Automation tools such as Automation Anywhere , with the ability to assess their suitability for specific use cases.
• Excellent written and verbal communication skills, interpersonal and collaborative skills, and the ability to communicate clearly to technical and non-technical audiences.
• Strong project management skills with the ability to prioritize tasks and manage timelines effectively.
• Ability to work independently and collaboratively in a dynamic environment.
• Analytical mindset with a keen attention to detail and problem-solving skills.
• Commitment to continuous learning and staying updated on industry trends and best practices.

Travel requirements:
Minimal Travel
Work schedule:
Must live within commuting distance to East Hanover site. Hybrid working model but must be able to come to office to collaborate/connect with colleagues.
No Relocation support available
Business Unit Summary
The United States is the largest market in the Mondelēz International family with a significant employee and manufacturing footprint. Here, weproduce our well-loved household favorites to provide our consumers with the right snack, at the right moment, made the right way. We have corporate offices, sales, manufacturing and distribution locations throughout the U.S. to ensure our iconic brands-including Oreo and Chips Ahoy! cookies, Ritz , Wheat Thins and Triscuit crackers, and Swedish Fish and Sour Patch Kids confectionery products -are close at hand for our consumers across the country.
Mondelēz Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact 847-943-5460 for assistance.
Job Type
Regular
Analytics & Modelling
Analytics & Data Science