Manager, Data Engineering

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.

Together with analytics team leaders you will support our business with excellent data models to uncover trends that can drive long-term business results.

How you will contribute

You will:

• Work in close partnership with the business leadership team to execute the analytics agenda
• Identify and incubate best-in-class external partners to drive delivery on strategic projects
• Develop custom models/algorithms to uncover signals/patterns and trends to drive long-term business performance
• Execute the business analytics program agenda using a methodical approach that conveys to stakeholders what business analytics will deliver

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

Are You Ready to Make It Happen at Mondelēz International?

In this role, you will have the opportunity to lead the development of a cutting-edge solution that aims to automate data pipelines, reporting and insights to standardize business performance across the US commercial organization to support Mondelez on out AI transformation enabling our 2030 vision. You will play an instrumental part in shaping and prioritizing the features of this solution in daily operations. You will define the requirements, perform the analysis and identify patterns in large amounts of data.

Join our Mission to Lead the Future of Snacking. Make It With Pride.

How you will contribute:

• Be a player & coach to combine people leadership, strategic partnership and data hands-on activities. Run a team of 5-10off-shore contractors, support the creation of data models and write and run discovery-level SQL queries

• Accountable for building Commercial Data Products, and ensure high data governance standards, including data completeness, harmonization, standardization, data quality, master data, data catalog, accessibility, usability and scalability

• Work with large amounts of data such as facts, figures, and mathematics/formulas and undertake analytical activities, and delivers analysis outputs in accordance with customer needs and conforming to established standards.

• As an investigator on the data & analytics team, you will apply your knowledge of languages and pull data out of SQL databases, using Tableau/Power BI type tools and producing data visualizations and reporting dashboards.

• Define requirements for analysis in a given business area and perform detailed analysis and identify trends defined in the requirements.

• Identify patterns and help the business react to changing business conditions,

• Lead the team to perform root-cause analysis and continuous improvement.

What you will bring

A desire to drive your future and accelerate your career and the following experience and knowledge:

• 7+ years of work experience in Data Analytics required3+ years of work experience as a Leader in Data Analytics field required

• Leader mindset – Leading technical teams to success through clear decision-making, accountability, and a hands-on approach

• Experience in Data Product Management – contributing to Regional or Global Data Product Vision and Roadmap with the focus on consumers, partnering with Stakeholders, ensuring adoption and cost-efficiency.

• Passion for building high-quality data products, using data to drive business growth and be comfortable working with data in an entrepreneurial, fast-paced setting.

• Experience in Commercial Business domain, ideally in CPG or FMCG industry including industry-specific external data sources as POS Sellout Data, Nielsen Syndicated Data.

• Experience with Master Data challenges between external and internal data sources.

• Power BI, Tableau, and GCP (Google Cloud Platform) experience preferred. Experience with at least one cloud technology.

• Knowledge of KPIs and scorecards required

• Excellent communication and collaboration skills to facilitate effective teamwork and stakeholder engagement, explaining complex data concepts to non-technical individuals.

• Fluent in English.

• Experience with data governance, privacy regulations, and best practices is required.

• Experience working with Agile using tools like Jira or ADO is required.

Education / Certifications:

• Bachelor's degree in Information Systems/Technology, Business Analytics, or a related field

• Postgraduate degree in Data & Analytics, or a related fieldis a plus.

Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy

Business Unit Summary

At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.

We have a rich portfolio of strong brands globally and locally including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum.

Our 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen—and happen fast.

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

RegularAnalytics & ModellingAnalytics & Data Science