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Mondelēz International

Senior Product Manager - Data and Analytics

Posted Yesterday
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Hybrid
3 Locations
Senior level
Hybrid
3 Locations
Senior level
The Senior Product Manager for Data and Analytics will lead the development of financial data products, collaborating with business leadership, managing budgeting and prioritizing development according to technical needs and deadlines while ensuring AI readiness.
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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 Possible.
You will have the opportunity to make an big impact on our business performance as you support the data strategy and lead the development of custom models/algorithms. Working in close partnership with the business leadership team, you will manage the vision and agenda for business analytics in your area of responsibility.
How you will contribute

  • Drive the vision and delivery of data-driven products for Mondelez finance following established product management practices


  • Prioritize development items according to deadlines, business context, and technical need


  • Advocate for and manage funding including budgeting, headcount needs, and other costs


  • Partner with engineering teams to move finance data products to AI-readiness


  • Identify opportunities for efficiency, automation, resilience, and innovation in Mondelez' data landscape


  • Bridge conversations between finance business stakeholders and development teams using knowledge of both Mondelez business domain and technical expertise


  • Think strategically and connect stakeholder use cases to technology solutions while thinking holistically about the end-to-end experience


  • Deeply understand stakeholder needs, product analytics, and industry innovation to drive the product vision and strategy, maximizing business and customer impact.


What you will bring
A desire to drive your future and accelerate your career. You will bring experience and knowledge in:

  • HIGHLY ORGANIZED and able to manage competing priorities across stakeholders


  • LEADERSHIP SKILLS including a natural ability to make things happen around you while proactively managing project ambiguity, complexity and interdependencies in an organized and structured way


  • DESIGN and data visualization experience with Tableau or Power BI


  • BUSINESS ACUMEN and strong working knowledge of corporate finance


  • GROWTH/DIGITAL MINDSET and the ability to identify/execute opportunities and leverage technology to improve operational efficiency and effectiveness


  • CLOUD EXPERIENCE with data solutions in AWS, Azure, or Google Cloud.


  • TECHNICAL EXPERTISE in data and analytics - including data warehousing, SQL, machine learning, and familiarity with modern AI techniques


  • EXPERIENCE with financial systems specifically SAP, SAC, and Hyperion a definite plus


  • INTEGRITY and sound judgement in all decisions and interactions aligned with our values and policies and external regulations.


More about this role
We are aware of our role as transformation agents to generate positive change, so diversity, equity and inclusion are one of our priorities. We believe in breaking down stereotypes and barriers to ensure the representation of society within our company. And for that, we have a Diversity Committee that operates on four fronts, People with disabilities (PCD), Ethnic-Racial, Women and LGBTQIAP+, in addition to being part of MOVER - Movimento pela Equidade Racial.
What you need to know about this position:
As Senior Product Manager for Financial Data & Analytics, you will oversee the development and execution of our financial data products roadmap. You will use a mix of technical knowledge and business acumen to help Mondelez' Finance organization build data and analytics products with an eye toward an AI-ready future. The products you drive will serve decision makers at the highest levels by improving our measurement and insight using Mondelez' data. As the appetite for data and insight is growing withing Mondelez, your contribution will foster the delivery of timely, relevant, and accurate insight to teams that need it.
What extra ingredients you will bring:
Preferred Experience:

  • Management consulting a plus


  • Experience in financial services, fintech, or corporate finance departments\


  • Experience with GenAI applications and LLMs


Travel requirements:

  • Limited travel up to 20% of time


Mondelez International is attentive to the future of work and values the well-being of our people, seeking to provide the best experiences. Therefore, some of our administrative vacancies are eligible for the hybrid model, allowing remote work on certain days of the week.
No Relocation support available
Business Unit Summary
Mondelēz Brasil is Mondelēz International's fourth largest operation in the world, with approximately 7,500 employees proudly producing, selling and distributing some of the most beloved brands of chewing gum, candies, powdered beverages, cream cheeses, chocolates, cookies and desserts in Brazil. We make the Brazilians' favorite products such as Bis, Lacta, Oreo, Club Social, Sonho de Valsa, Trakinas, Trident, Halls, Royal, Tang and many others. We are truly part of the lives of Brazilians: You can find our mouth-watering products in more than 700,000 points of sale and we are present in more than 92% of Brazilian homes. Our factories are located in Vitória de Santo Antão, in the state of Pernambuco, and Curitiba, in the state of Paraná. We are also home to one of the company's 11 technology centers around the world, responsible for research and development, so we can continue to create new and innovative products, offering the right snack for the right time, done in the right way.
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

AWS
Azure
Genai
GCP
Hyperion
Machine Learning
Power BI
Sac
SAP
SQL
Tableau

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