[Job-31426] Data Product Manager, Brazil
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 13d ago
The date the source published, not the day we noticed it (2026-09-01). Last seen at its source just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Brazil
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $161.3k–225k/yr
Middle 50% of 349 listings that do state pay — Product · all levels · Americas · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
lever employer's own board first seen 13d ago · last seen just now
The listing
At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.
With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.
We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.
We are seeking a professional with a strong strategic mindset, product-oriented thinking, and experience within the data and analytics ecosystem. This person will be responsible for connecting business needs, technology, and data to deliver scalable, high-value data products.
Key Responsibilities
- Manage the complete lifecycle of data products, from ideation and development to deployment, optimization, and continuous improvement.
- Define and prioritize data product roadmaps, balancing business needs, technical feasibility, and stakeholder expectations.
- Partner with cross-functional teams, including Data Engineers, Data Scientists, Analytics Specialists, and business stakeholders.
- Understand data architectures, ETL/ELT pipelines, integrations, and analytics platforms to support product decisions and strategic direction.
- Translate business needs into clear, actionable, and achievable requirements for technical teams.
- Perform data profiling and analysis to identify patterns, relationships, and opportunities for value creation.
- Define metrics, KPIs, and success criteria to measure the performance and impact of data products.
- Validate solutions with users and stakeholders to ensure they meet business needs and expectations.
- Foster a data-driven culture and support the adoption of AI and automation within team workflows.
- Lead and influence cross-functional teams while supporting the growth and development of the professionals involved in data initiatives.
Requirements
- Advanced English communication skills (written and spoken).
- Experience working with international clients.
- Previous experience in Data, Analytics, Business Intelligence, or related fields.
- Experience managing products, projects, or data-driven initiatives.
- Strong value-based prioritization and risk management skills.
- Strategic thinking, product mindset, and focus on business impact.
- Experience working with multiple stakeholders and cross-functional teams.
- Team leadership experience or proven ability to lead complex initiatives.
Nice to Have
- Experience with Data Visualization and/or Advanced Analytics.
- Knowledge of data intelligence platforms such as Databricks.
- Familiarity with project and product management tools.
- Experience with Artificial Intelligence initiatives applied to data products.
If you are passionate about transforming data into products that generate business value and enjoy working at the intersection of data, technology, and product strategy, we would love to hear from you!