Senior Product Manager - Data and Analytics

Mondelēz International; São Paulo; Híbrido; BRL 150.000 - 200.000; Tempo integral

Resumo da oferta

Uma empresa líder no setor de snacks busca um Gerente de Produto Sênior para Dados Financeiros e Análise. O candidato ideal terá um forte conhecimento técnico e acumen de negócios, liderando o desenvolvimento de produtos de dados que impactam diretamente as decisões financeiras da empresa. Este papel é fundamental para garantir que a organização esteja preparada para um futuro orientado por IA, promovendo eficiência e inovação no uso de dados.

Qualificações

• Experiência em gerenciamento de produtos e análise de dados.
• Habilidades de liderança e organização para gerenciar prioridades.
• Experiência em design e visualização de dados com ferramentas como Tableau ou Power BI.

Responsabilidades

• Dirigir a visão e entrega de produtos baseados em dados para finanças.
• Identificar oportunidades para eficiência e inovação na paisagem de dados.
• Colaborar com equipes de engenharia para preparar produtos de dados para IA.

Conhecimentos

Organização

Liderança

Design e Visualização de Dados

Acumen de Negócios

Mentalidade de Crescimento/Digital

Experiência em Nuvem

Expertise Técnica em Dados e Análise

Integridade

Ferramentas

Tableau

Power BI

AWS

Azure

Google Cloud

SAP

SAC

Hyperion

Descrição da oferta de emprego

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 a 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

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

2. Prioritize development items according to deadlines, business context, and technical needs.

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

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

5. Identify opportunities for efficiency, automation, resilience, and innovation in Mondelez’s data landscape.

6. Bridge conversations between finance business stakeholders and development teams, leveraging knowledge of both Mondelez business domains and technical expertise.

7. Think strategically, connecting stakeholder use cases to technology solutions and considering the end-to-end experience.

8. 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 while proactively managing 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 and execute opportunities leveraging 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 such as SAP, SAC, and Hyperion is a plus.

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

More about this role

We recognize our role as transformation agents to generate positive change, prioritizing diversity, equity, and inclusion. We aim to break stereotypes and barriers to ensure societal representation within our company. Our Diversity Committee operates on four fronts: People with disabilities (PCD), Ethnic-Racial, Women, and LGBTQIAP+, and we are 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. Using a mix of technical knowledge and business acumen, you will help Mondelez’s Finance organization build data and analytics products aimed at an AI-ready future. Your products will serve decision-makers at the highest levels, improving measurement and insight through Mondelez’s data. As demand for data and insights grows within Mondelez, your contribution will foster the delivery of timely, relevant, and accurate insights to teams that need them.

What extra ingredients you will bring:

Preferred Experience:

• Management consulting experience is 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 the time.

Mondelez International values the well-being of our people and offers flexible work arrangements, including hybrid models with remote work options on certain days.

No relocation support is available.

Business Unit Summary

Mondelez Brasil is the company's fourth-largest operation worldwide, with approximately 7,500 employees. We produce, sell, and distribute beloved brands such as Oreo, Lacta, Trident, and many more, in Brazil. Our products are available in over 700,000 points of sale and in more than 92% of Brazilian homes. Our factories are located in Vitória de Santo Antão and Curitiba, and we operate one of the company's 11 global technology centers, dedicated to R&D.

Mondelez International is an equal opportunity employer. All qualified applicants will receive consideration regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or other legally protected characteristics.

Job Type: Regular, Analytics & Modelling, Data Science