Data Product Manager Senior

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 Senior based in Brazil.

This role is focused on leading the evolution of data-driven products that generate measurable business value. You will act as a bridge between business areas, engineering teams, analytics specialists, and governance functions. The position requires a strategic product mindset combined with strong data knowledge and execution capabilities. You will identify opportunities, transform user needs into scalable solutions, and guide products throughout their lifecycle. The role offers the opportunity to contribute to AI and Generative AI initiatives, helping shape innovative data experiences. You will work in a collaborative, agile, and technology-driven environment where data is central to decision-making.

Accountabilities:: The Data Product Manager Senior will be responsible for driving the strategy, prioritization, and continuous improvement of data products, ensuring they are scalable, reliable, and aligned with business goals. The role requires strong collaboration across technical and business teams to transform data opportunities into impactful solutions.

Lead the evolution of data products aligned with strategic business objectives and user needs.

Conduct discovery activities, including research, interviews, analysis, and stakeholder discussions to identify opportunities.

Define, prioritize, and manage product backlogs for data solutions.

Translate business needs into functional requirements and support technical discussions with engineering teams.

Collaborate with engineers, data analysts, data scientists, and business stakeholders to ensure valuable deliveries.

Manage the complete data product lifecycle, from concept definition to implementation and performance measurement.

Ensure products meet quality, governance, security, and usability standards.

Define and monitor success metrics, adoption indicators, and value-generation KPIs.

Support the application of AI and Generative AI initiatives within data products and business processes.

Promote best practices related to data quality, cataloging, reliability, and data-driven culture adoption.

Requirements:

The ideal candidate has strong experience managing data products and working across business and technical environments. This professional should combine product management expertise, analytical thinking, and the ability to communicate effectively with diverse stakeholders.

Proven experience as a Data Product Manager, Product Manager, or equivalent role.

Experience managing data products, datasets, data APIs, analytics platforms, or data consumption layers.

Strong understanding of the data lifecycle, including collection, transformation, governance, and consumption.

Experience defining and prioritizing product backlogs.

Ability to conduct discovery processes, define requirements, and align stakeholder expectations.

Experience working with agile methodologies and product management practices.

Strong analytical skills and a data-driven approach to decision-making.

Excellent communication skills, with the ability to connect business teams and technical professionals.

Experience defining and monitoring product KPIs and success metrics.

Knowledge of AI and Generative AI applications in data products, automation, or information enrichment.

Nice-to-have qualifications:

Experience with data platforms such as BigQuery, Databricks, Airflow, or similar technologies.

Knowledge of data architecture, data modeling, and governance practices.

Familiarity with data cataloging and governance tools such as OpenMetadata or similar platforms.

Experience working in multi-domain environments and digital transformation initiatives.

Knowledge of data quality, observability, and security best practices.

Experience with data-driven digital products.

Certifications in Product Management, Data Analytics, or Cloud technologies.

Understanding of AI and Generative AI use cases for business, analytics, or productivity improvements.

Benefits:

Remote work model with flexibility.

Opportunity to work on strategic data and technology initiatives.

Collaborative environment focused on innovation and continuous improvement.

Access to projects involving AI, Generative AI, and advanced data solutions.

Professional growth opportunities through challenging and impactful work.

Inclusive workplace that values diverse backgrounds, perspectives, and experiences.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1