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We're a global snacking company empowering people to snack right.
The Role
You will analyze data to create actionable insights, apply machine learning techniques, and communicate findings to stakeholders, enabling data-driven decisions.
Summary Generated by Built In
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.
You will be crucial in supporting our business by creating valuable, actionable insights about the data, and communicating your findings to the business. You will work with various stakeholders to determine how to use business data for business solutions/insights.
S4/o9 Manager, Data
Job Description Summary
You will be crucial in supporting our S4/o9 program and business by creating valuable, actionable insights about the data, and communicating your findings to the business. You will work with various stakeholders to determine how to govern, maintain and use data for business solutions/insights.
How you will contribute
o Be part of AMEA S4/o9 program team and contribute to build foundations for data capabilities in AMEA
o Drive your expertise and know-how in the business processes and data space; particularly but not restricted to supply chain that encompass E2E planning, Customer Services and Logistics as well as Manufacturing. Other functional business are Finance and Sales. Data space encompass business data / master data/ transactional data required for S4/o9
o Understand business challenges, create valuable actionable insights about the data, and communicate your findings to the Program team and Business. Work with stakeholders to determine how to best prepare and set data for S4/o9 program to be delivered successfully.
o Develop processes, techniques, and tools to analyze and monitor data model enablement & performance while ensuring data quality and accuracy.
o Support in the activation of data governance and quality model to support both the implementation and ongoing maintenance of the S4/o9 environments.
o Work with business stakeholders to build data ownership and stewardship for the data governance and quality model and requirements, supporting them to identify individuals to fil the various data governance personas roles.
o Support the set up and activation of a Data Governance community within business functions, that also links to a wider business data governance organization
o Work jointly with change management team to help and support in definition in functional business data change management, training needs - to onboard data governance personas and support them in their ownership/stewardship activities
o Support the delivery and deployment of Enterprise Governance and quality tools (data cataloging, data quality rules, data quality dashboards)
o Evaluate the need for analytics, assess the problems to be solved and what internal or external data sources to use or acquire. Specify and apply appropriate mathematical, statistical, predictive modelling or machine-learning techniques to analyze data, generate insights, create value and support decision making. Develop data hypotheses and methods, train and evaluate analytics models, share insights and findings and continues to iterate with additional data
o Contribute to exploration and experimentation in data visualization and you will manage reviews of the benefits and value of analytics techniques and tools and recommend improvements
What you will bring
A desire to drive your future and accelerate your career and the following experience and knowledge:
o Knowledge and experience in business data, master data, metadata, transactional data, advanced statistical techniques and concepts
o Knowledge in business processes, particularly in supply chain space, what type data are used, consumed and exploited to run the business operation and take decision
o Good communication skills to promote cross-team collaboration
o Data knowledge/experience: data modelling and flows. (coding, Java, JavaScript, C, C++, etc will be a plus)
o Ability to use data visualization tools to showcase data for stakeholders. Experience/knowledge in statistics and data mining techniques will be a plus (random forest, GLM/regression, social network analysis, text mining, etc).
More about this role
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 supporting our business by creating valuable, actionable insights about the data, and communicating your findings to the business. You will work with various stakeholders to determine how to use business data for business solutions/insights.
How you will contribute
o Be part of AMEA S4/o9 program team and contribute to build foundations for data capabilities in AMEA
o Drive your expertise and know-how in the business processes and data space; particularly but not restricted to supply chain that encompass E2E planning, Customer Services and Logistics as well as Manufacturing. Other functional business are Finance and Sales. Data space encompass business data / master data/ transactional data required for S4/o9
o Understand business challenges, create valuable actionable insights about the data, and communicate your findings to the Program team and Business. Work with stakeholders to determine how to best prepare and set data for S4/o9 program to be delivered successfully.
o Develop processes, techniques, and tools to analyze and monitor data model enablement & performance while ensuring data quality and accuracy.
o Support in the activation of data governance and quality model to support both the implementation and ongoing maintenance of the S4/o9 environments.
o Work with business stakeholders to build data ownership and stewardship for the data governance and quality model and requirements, supporting them to identify individuals to fil the various data governance personas roles.
o Support the set up and activation of a Data Governance community within business functions, that also links to a wider business data governance organization
o Work jointly with change management team to help and support in definition in functional business data change management, training needs - to onboard data governance personas and support them in their ownership/stewardship activities
o Support the delivery and deployment of Enterprise Governance and quality tools (data cataloging, data quality rules, data quality dashboards)
o Evaluate the need for analytics, assess the problems to be solved and what internal or external data sources to use or acquire. Specify and apply appropriate mathematical, statistical, predictive modelling or machine-learning techniques to analyze data, generate insights, create value and support decision making. Develop data hypotheses and methods, train and evaluate analytics models, share insights and findings and continues to iterate with additional data
o Contribute to exploration and experimentation in data visualization and you will manage reviews of the benefits and value of analytics techniques and tools and recommend improvements
What you will bring
A desire to drive your future and accelerate your career and the following experience and knowledge:
o Knowledge and experience in business data, master data, metadata, transactional data, advanced statistical techniques and concepts
o Knowledge in business processes, particularly in supply chain space, what type data are used, consumed and exploited to run the business operation and take decision
o Good communication skills to promote cross-team collaboration
o Data knowledge/experience: data modelling and flows. (coding, Java, JavaScript, C, C++, etc will be a plus)
o Ability to use data visualization tools to showcase data for stakeholders. Experience/knowledge in statistics and data mining techniques will be a plus (random forest, GLM/regression, social network analysis, text mining, etc).
No Relocation support available
Business Unit Summary
Headquartered in Singapore, Mondelēz International's Asia, Middle East and Africa (AMEA) region is comprised of six business units, has more than 21,000 employees and operates in more than 27 countries including Australia, China, Indonesia, Ghana, India, Japan, Malaysia, New Zealand, Nigeria, Philippines, Saudi Arabia, South Africa, Thailand, United Arab Emirates and Vietnam. Seventy-six nationalities work across a network of more than 35 manufacturing plants, three global research and development technical centers and in offices stretching from Auckland, New Zealand to Casablanca, Morocco. Mondelēz International in the AMEA region is the proud maker of global and local iconic brands such as Oreo and belVita biscuits, Kinh Do mooncakes, Cadbury, Cadbury Dairy Milk and Milka chocolate, Halls candy, Stride gum, Tang powdered beverage and Philadelphia cheese. We are also proud to be named a Top Employer in many of our markets.
Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Job Type
Regular
Data Science
Analytics & Data Science
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 supporting our business by creating valuable, actionable insights about the data, and communicating your findings to the business. You will work with various stakeholders to determine how to use business data for business solutions/insights.
S4/o9 Manager, Data
Job Description Summary
You will be crucial in supporting our S4/o9 program and business by creating valuable, actionable insights about the data, and communicating your findings to the business. You will work with various stakeholders to determine how to govern, maintain and use data for business solutions/insights.
How you will contribute
o Be part of AMEA S4/o9 program team and contribute to build foundations for data capabilities in AMEA
o Drive your expertise and know-how in the business processes and data space; particularly but not restricted to supply chain that encompass E2E planning, Customer Services and Logistics as well as Manufacturing. Other functional business are Finance and Sales. Data space encompass business data / master data/ transactional data required for S4/o9
o Understand business challenges, create valuable actionable insights about the data, and communicate your findings to the Program team and Business. Work with stakeholders to determine how to best prepare and set data for S4/o9 program to be delivered successfully.
o Develop processes, techniques, and tools to analyze and monitor data model enablement & performance while ensuring data quality and accuracy.
o Support in the activation of data governance and quality model to support both the implementation and ongoing maintenance of the S4/o9 environments.
o Work with business stakeholders to build data ownership and stewardship for the data governance and quality model and requirements, supporting them to identify individuals to fil the various data governance personas roles.
o Support the set up and activation of a Data Governance community within business functions, that also links to a wider business data governance organization
o Work jointly with change management team to help and support in definition in functional business data change management, training needs - to onboard data governance personas and support them in their ownership/stewardship activities
o Support the delivery and deployment of Enterprise Governance and quality tools (data cataloging, data quality rules, data quality dashboards)
o Evaluate the need for analytics, assess the problems to be solved and what internal or external data sources to use or acquire. Specify and apply appropriate mathematical, statistical, predictive modelling or machine-learning techniques to analyze data, generate insights, create value and support decision making. Develop data hypotheses and methods, train and evaluate analytics models, share insights and findings and continues to iterate with additional data
o Contribute to exploration and experimentation in data visualization and you will manage reviews of the benefits and value of analytics techniques and tools and recommend improvements
What you will bring
A desire to drive your future and accelerate your career and the following experience and knowledge:
o Knowledge and experience in business data, master data, metadata, transactional data, advanced statistical techniques and concepts
o Knowledge in business processes, particularly in supply chain space, what type data are used, consumed and exploited to run the business operation and take decision
o Good communication skills to promote cross-team collaboration
o Data knowledge/experience: data modelling and flows. (coding, Java, JavaScript, C, C++, etc will be a plus)
o Ability to use data visualization tools to showcase data for stakeholders. Experience/knowledge in statistics and data mining techniques will be a plus (random forest, GLM/regression, social network analysis, text mining, etc).
More about this role
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 supporting our business by creating valuable, actionable insights about the data, and communicating your findings to the business. You will work with various stakeholders to determine how to use business data for business solutions/insights.
How you will contribute
o Be part of AMEA S4/o9 program team and contribute to build foundations for data capabilities in AMEA
o Drive your expertise and know-how in the business processes and data space; particularly but not restricted to supply chain that encompass E2E planning, Customer Services and Logistics as well as Manufacturing. Other functional business are Finance and Sales. Data space encompass business data / master data/ transactional data required for S4/o9
o Understand business challenges, create valuable actionable insights about the data, and communicate your findings to the Program team and Business. Work with stakeholders to determine how to best prepare and set data for S4/o9 program to be delivered successfully.
o Develop processes, techniques, and tools to analyze and monitor data model enablement & performance while ensuring data quality and accuracy.
o Support in the activation of data governance and quality model to support both the implementation and ongoing maintenance of the S4/o9 environments.
o Work with business stakeholders to build data ownership and stewardship for the data governance and quality model and requirements, supporting them to identify individuals to fil the various data governance personas roles.
o Support the set up and activation of a Data Governance community within business functions, that also links to a wider business data governance organization
o Work jointly with change management team to help and support in definition in functional business data change management, training needs - to onboard data governance personas and support them in their ownership/stewardship activities
o Support the delivery and deployment of Enterprise Governance and quality tools (data cataloging, data quality rules, data quality dashboards)
o Evaluate the need for analytics, assess the problems to be solved and what internal or external data sources to use or acquire. Specify and apply appropriate mathematical, statistical, predictive modelling or machine-learning techniques to analyze data, generate insights, create value and support decision making. Develop data hypotheses and methods, train and evaluate analytics models, share insights and findings and continues to iterate with additional data
o Contribute to exploration and experimentation in data visualization and you will manage reviews of the benefits and value of analytics techniques and tools and recommend improvements
What you will bring
A desire to drive your future and accelerate your career and the following experience and knowledge:
o Knowledge and experience in business data, master data, metadata, transactional data, advanced statistical techniques and concepts
o Knowledge in business processes, particularly in supply chain space, what type data are used, consumed and exploited to run the business operation and take decision
o Good communication skills to promote cross-team collaboration
o Data knowledge/experience: data modelling and flows. (coding, Java, JavaScript, C, C++, etc will be a plus)
o Ability to use data visualization tools to showcase data for stakeholders. Experience/knowledge in statistics and data mining techniques will be a plus (random forest, GLM/regression, social network analysis, text mining, etc).
No Relocation support available
Business Unit Summary
Headquartered in Singapore, Mondelēz International's Asia, Middle East and Africa (AMEA) region is comprised of six business units, has more than 21,000 employees and operates in more than 27 countries including Australia, China, Indonesia, Ghana, India, Japan, Malaysia, New Zealand, Nigeria, Philippines, Saudi Arabia, South Africa, Thailand, United Arab Emirates and Vietnam. Seventy-six nationalities work across a network of more than 35 manufacturing plants, three global research and development technical centers and in offices stretching from Auckland, New Zealand to Casablanca, Morocco. Mondelēz International in the AMEA region is the proud maker of global and local iconic brands such as Oreo and belVita biscuits, Kinh Do mooncakes, Cadbury, Cadbury Dairy Milk and Milka chocolate, Halls candy, Stride gum, Tang powdered beverage and Philadelphia cheese. We are also proud to be named a Top Employer in many of our markets.
Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Job Type
Regular
Data Science
Analytics & Data Science
Top Skills
C
C++
Java
JavaScript
Python
R
SQL
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The Company
What We Do
Mondelēz International, Inc. (NASDAQ: MDLZ) is an American multinational confectionery, food, and beverage company based in Illinois which employs approximately 90,000 individuals around the world. Our Purpose Our purpose is to empower people to snack right. We will lead the future of snacking around the world by offering the right snack, for the right moment, made the right way. Our Brands We’re leading the future of snacking with iconic brands such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. Our People Our 90,000+ colleagues around the world are key to the success of our business. Our Values and Leadership Commitments of Love our Consumers and Brands, Grow Every Day, and Do What's Right shapes our culture – what we believe in, stand for, and what guides our actions and decisions. Great people and great brands. That’s who we are. Our Strategies We are uniquely positioned to lead the future of snacking with strong leadership in our categories, an unparalleled portfolio of global and local brands, and a solid footprint in fast-growing markets. Aimed at delivering sustainable growth, our strategic plan is centered around three strategic priorities: • Growth: accelerate consumer-centric growth • Execution: drive operational excellence • Culture: build a winning growth culture
Why Work With Us
We offer passionate, energetic and curious people a huge choice of careers in our fun, fast-paced, global business. We operate in four regions: Asia, Middle East & Africa; Europe; Latin America; and North America. And in over 80 countries our people are united in a common purpose to empower people to snack right.
Gallery
Mondelēz International Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
#TeamMDLZ Flexible Working Pledge: We Trust each other to work flexibly and productively We show Empathy, encouraging belonging and connection We are Mindful of making space and taking time
Typical time on-site:
Flexible
