This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Product Manager Especialista I (Supply Chain) based in Brazil.
This role is focused on building and evolving data-driven products that generate strategic value for Supply Chain operations.
The professional will act as a bridge between business, data teams, and technology, transforming complex challenges into scalable solutions.
You will lead product discovery, prioritization, and lifecycle management while ensuring alignment with business goals and user needs.
The position requires a strong product mindset combined with analytical skills, stakeholder management, and data expertise.
You will collaborate with multidisciplinary squads, including Analytics Engineering and Data Science teams, to create impactful data capabilities.
This is an opportunity to influence decisions through insights, innovation, and the continuous improvement of digital products in a dynamic environment.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Product Manager Especialista I (Supply Chain) based in Brazil.
This role is focused on building and evolving data-driven products that generate strategic value for Supply Chain operations.
The professional will act as a bridge between business, data teams, and technology, transforming complex challenges into scalable solutions.
You will lead product discovery, prioritization, and lifecycle management while ensuring alignment with business goals and user needs.
The position requires a strong product mindset combined with analytical skills, stakeholder management, and data expertise.
You will collaborate with multidisciplinary squads, including Analytics Engineering and Data Science teams, to create impactful data capabilities.
This is an opportunity to influence decisions through insights, innovation, and the continuous improvement of digital products in a dynamic environment.
Accountabilities:
- Lead the development and continuous improvement of data products, defining strategic directions and maintaining alignment with leadership and business objectives.
- Facilitate discovery sessions, workshops, problem exploration activities, and ideation processes with squads, stakeholders, partners, and users.
- Translate product deliveries into business impact through executive presentations, clear narratives, and data-driven storytelling.
- Prioritize initiatives and product features based on business impact, user feedback, and quantitative and qualitative data analysis.
- Build and communicate product strategies to influence decision-making and strengthen collaboration across different areas.
- Ensure delivery quality by maintaining continuous communication with stakeholders regarding improvements, capabilities, functionalities, and product evolution.
- Collaborate with Analytics Engineering and Data Science teams on technical discussions, contributing ideas and supporting strategic decisions.
- Support operational management of the team by monitoring evolution metrics and product performance indicators.
- Manage product backlogs while encouraging technical teams to adopt Agile methodologies and best practices.
- Manage the complete product lifecycle, from discovery and conception to development, launch, growth, maturity, and continuous improvement.
- Proven experience working with data products focused on Data Science and/or Analytics Engineering as a Product Manager, Product Owner, or Product Analyst.
- Experience building products from concept to launch, participating in different stages of the product management lifecycle.
- Basic knowledge of Data Science concepts, including modeling approaches, statistical methods, experimentation cycles, model testing, and proofs of concept.
- Familiarity with data modeling concepts and the ability to structure analyses and collaborate with technical teams.
- Experience applying Agile methodologies such as Scrum, Kanban, or similar frameworks in multidisciplinary teams.
- Knowledge of User Experience concepts, product design practices, hypothesis testing, and innovation processes.
- Strong relationship-building skills and ability to collaborate with diverse teams and stakeholders.
- Ability to balance quantitative analysis and qualitative research to create hypotheses and support decision-making.
- Excellent communication skills, including written communication, presentations, storytelling, and stakeholder management.
- Ability to work effectively in dynamic environments involving transformation, change management, and continuous improvement.
- Strong planning, organization, critical thinking, and strategic vision focused on product impact, scalability, and results.
- Experience managing Supply Chain products or projects.
- Experience working as a Product Manager in multidisciplinary digital and data teams.
- Experience with OKR-based management.
- Experience managing products involving multiple stakeholders and different organizational levels.
- Experience using communication and analytical skills to solve complex business problems.
- Familiarity with AI concepts and tools applied to product prototyping and innovation.
- Medical and dental insurance.
- Medication assistance program.
- Health support benefits for family members.
- Free psychotherapy sessions.
- Telemedicine services and medical second opinions.
- Flu vaccination program and health care initiatives.
- Meal allowance or local restaurant support, depending on work model.
- Food allowance and Christmas food benefit.
- Access to fitness programs and activity studios.
- Home office assistance for remote and hybrid work models.
- Pet health plan.
- Birthday day off.
- Discounts on company products.
- Employee association benefits, partnerships, courses, and wellness programs.
- Travel and accommodation support programs.
- Childcare assistance and infant nutrition support.
- Babysitter assistance and school material support.
- Legal, psychological, and social guidance.
- Support programs for parents of children with special needs.
- Extended parental leave benefits.
- Transportation allowance and parking support for applicable work models.
- Life insurance.
- Financial support in cases of family loss.
- Private pension plan.
- Payroll-deductible loans.
The Data Product Manager will be responsible for leading the strategy, development, and evolution of data products focused on Supply Chain, ensuring business impact, product quality, and alignment between technical teams and stakeholders.
Requirements:
The ideal candidate should have experience managing data products and combining product management expertise, analytical thinking, Agile practices, and strong stakeholder communication skills.
Nice to have: