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Mondelēz International

Data & Analytics Sales Product Owner, Analytics, Business Analytics

Posted 9 Hours Ago
Be an Early Applicant
2 Locations
Senior level
2 Locations
Senior level
As a Data & Analytics Sales Product Owner, you will enable and evolve analytical products for Sales Execution, consult with stakeholders, lead product design, drive implementation, create product roadmaps, and identify agile analytics opportunities to support business decisions and improvements.
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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.
As Data & Analytics Sales Product Owner, you'll be responsible for enabling and evolving analytical products for Sales Execution to support key business decisions, drive business improvements and deliver business value. Identify opportunities to leverage advanced analytics in the area of responsibility to support Sales digitization.
How you will contribute
You will:

  • Engage with and consult business stakeholders on analytical products to business problems, create user journeys.
  • Propose state-of-the-art solutions which fit into the overall Data and Analytics strategy, roadmap and solutions architecture
  • Lead product solution design ensuring product management best practices (technical framework : coding standards , devops practices, technical handbooks , service operation guidelines )
  • Lead a product oriented delivery model consisting of product continuous improvement team, data scientist, data architects and engineers
  • Drive the implementation and adoption of analytical product end-to-end and accountable for their success over the product life cycle. Create OKR's, scorecards, playbooks.
  • Identify opportunities for agile analytics approaches and for "Proof of Value" implementations
  • Create product roadmaps with lead markets and drive alignment across all to create a feature backlog. Also create backlog to reduce technical debt.


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

  • A minimum of 6-8 years of IT/IT facing and business/industry work experience, with experience in managing cross-functional teams or projects. Deep experience of sales execution processes required.
  • Minimum of 3-5 years of analytics experience, as well as traditional business intelligence experience, within IT or business function
  • Technical experience desired : Power BI Management & Models design, GCP technologies , ETLs (Talend), Agile Methodology , Devops framework. Others: Databricks, Python , Power Apps, Confluence


No Relocation support available
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
Regular
Analytics & Modelling
Analytics & Data Science

Top Skills

Agile Methodology
Confluence
Databricks
DevOps
Etls
GCP
Power Apps
Power BI
Python
Talend

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