We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions.
With over 8,000 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality.
As CI&T grows, we seek a talented, motivated, and experienced Data Product Manager to join our team and lead data-driven solutions for our customers.
The Data Product Manager will oversee the entire lifecycle of data products, from ideation and development to deployment and optimization. This role requires technical expertise, strategic thinking, and leadership skills to drive the successful execution of data-driven initiatives.
Requirements:
- Excellent level of English communication (reading, writing and speaking)
- Experience working with international clients
- Previous experience in the data and analytics space
- Previous experience in project management
- Strategic Thinking, Product Mindset
- Experience with value-based Prioritization and Risk Management
- Experience with Team Leadership
The main responsibilities include:
Managing the complete Data Lifecycle, from where data is generated to ETL pipelines and data enablement.
Data Architecture & Infrastructure: understanding the technical architecture/infrastructure that supports the organization's data needs, including storage, integrations, and analytics platforms.
Task Prioritization: working with technical and business teams to understand their data needs and priorities and effectively communicate the value of data initiatives. Prioritizing tasks and defining the roadmap, balancing competing demands from different stakeholders.
Data Profiling: understanding the data types, relationships, patterns, and trends to understand the data better.
Requirements Definition: collaborate with internal and external stakeholders to understand and document data requirements, ensuring they are clear, specific, and achievable, as well as how the data should be presented to consumption.
Business Process: understand the business workflows so appropriate assumptions can be made regarding sources, entities, and attributes to answer business questions.
Validation: validating the product with users to ensure it meets their needs and expectations, using data and metrics to inform decisions.
Performance Analysis: monitoring and analyzing product performance, using metrics and KPIs to assess success and metrics to track the effectiveness of data initiatives and investments, and using data-driven insights to drive continuous improvement.
Powered by AI: support incorporating AI in the team workflow to speed up performance.
Team Leadership: leading cross-functional teams, including data scientists, engineers, and analytics specialists, to develop and deliver high-quality data products. Attracting, retaining, and developing top data talents. Mentoring, training, and pursuing growth opportunities to build motivated teams.
Nice to have:
- Experience in either the Data Platform, Data Visualization or Advanced Analytics space
- Experience with major Cloud Platform providers (Azure, AWS, or GCP)
- Experience migrating data platform to cloud
- Experience building data platforms on-prem and in the cloud