Thank you for your interest in this opportunity! Your application will only be considered complete after completing a digital assessment. At the end of the application process, and provided you meet the required criteria for the role, you will receive a link by email to access it. This step is mandatory, as our recruitment process is based on competency assessment.

We are a company for everyone and by everyone. At MC, we put people at the center: customers, employees, and the community. We create value together, innovate at every step, and lead with proximity, recognizing the qualities of each individual. Different stories and ideas unite us around the same purpose: to grow and become the best version of ourselves. Because everything we are, we achieve together.

MC Digital is MC’s Information Technology division. We firmly believe that technology can revolutionize the retail sector, delivering greater convenience and exceeding customer expectations. In this context, we are focused on enhancing the use of Artificial Intelligence across our products and technology systems, helping accelerate MC’s digital transformation.

Want to learn more about what we do? Visit Caixa Central, MC Digital’s blog and podcast: https://caixacentral.mcdigital.tech/.

For all these reasons, join us!

We are looking for a Data Product Manager to join our Product Enablement team of CoEDAIA at MC Digital, and we believe we’ll be #betterwithyou!

We’re counting on you to...

· Manage and evolve Data & AI products end-to-end, from discovery and functional design to adoption and impact measurement;
· Work closely with business units to identify needs, gather requirements, and transform them into data-driven solutions that support decision-making;
· Translate business needs into clear requirements for technical teams (user stories, acceptance criteria, metrics definition, and business rules);
· Collaborate closely with Tech Leads and engineering teams in designing solution architectures within a technology ecosystem based on GCP, Azure, and Databricks, anticipating technical and functional challenges related to data ingestion, modeling, ETL pipelines, data quality, and AI solutions (models, algorithms, agents, chatbots);
· Lead the strategic definition and roadmap of the products under your responsibility, ensuring alignment with MC’s objectives and product governance best practices (QBRs, backlog management, prioritization);
· Ensure that each product delivers measurable value through the definition and continuous monitoring of adoption and impact KPIs;
· Coordinate the enablement of teams and users involved, in partnership with technical areas, promoting product adoption and effective usage;
· Use Generative AI tools to accelerate product work, from analysis to documentation and prototyping;
· Actively contribute to the maturity of key initiatives that make the company increasingly data and AI-driven, including product and data catalogs, data governance, data contracts, and data by design.

So, bring with you...

· Bachelor’s or Master’s degree in Computer Engineering, Management Information Systems, Data Science, Statistics, Applied Mathematics, Industrial Engineering and Management, or an equivalent field;
· 3 to 5 years of experience as a Product Manager, Product Owner, or Business Analyst, ideally within data products, analytics, or technology platforms;
· Experience with Agile methodologies (Scrum, Kanban) and tools such as Jira and Confluence;
· Strong data literacy, including SQL for data exploration and validation, and knowledge of architecture and modeling concepts (data warehouse/lakehouse, semantic layer);
· Knowledge of data governance and data quality principles (catalog, lineage, ownership);
· Experience defining product KPIs and metrics;
· Experience using Generative AI tools in daily work;
· Ability to think strategically and cross-functionally, connecting different products and solutions to address complex challenges;
· Excellent communication and presentation skills, adapting language to technical, business, and executive audiences;
· Strong negotiation, stakeholder management, and conflict resolution skills, combined with empathy and maturity;
· Team spirit, critical thinking, and commitment to delivering results.

Nice to have:

· Knowledge of cloud data platforms, namely Google Cloud Platform (GCP), Microsoft Azure, and Databricks;
· Knowledge of Claude Code and Copilot;
· Experience with BI tools (e.g., MicroStrategy, Power BI);
· Experience in the retail sector;
· Additional training in Product Management, Data & Analytics, or AI.

What do we have for you?

Discover all our benefits in the areas of Health & Wellbeing, Compensation & Benefits, Family & Parenthood, Career Development, and Flexibility here.

#BETTERTOGETHER #BETTERWITHYOU

MC Sonae D&I Commitment:

We work to create a workplace built on the richness of diverse profiles and focused on individuality, ensuring that everyone feels respected, valued for their skills, and confident in the organization.