Overview
We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions.
With over 7,400 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.
The Data & Analytics 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.
During career evolution, ideally, this person has acquired experience with different clients which would help to develop expertise in at least two areas (Data Engineering, Data Analytics, Data Science, AI).
Moreover, this person is contributing to the contract and sharing experience across teams and the data community (data community, AI, ESG Groups).
Start identifying opportunities to expand the data operation inside the client and work closely with senior leadership to convert it.
Responsibilities
- Managing the complete Data Lifecycle, from data generation to ETL pipelines and data enablement.
- Data Best Practices: Governance, Modeling, Quality, Security & Privacy, Integration, Accessibility, Analytics, Backup & Recovery.
- Data Architecture & Infrastructure: understand the technical architecture/infrastructure that supports the organization's data needs, including storage, integrations, and analytics platforms.
- Task Prioritization: collaborate with technical and business teams to understand data needs and priorities, communicate value, and define roadmaps while balancing stakeholder demands.
- Data Profiling: understand data types, relationships, patterns, and trends to better characterize the data.
- Requirements Definition: document data requirements with internal and external stakeholders, including how data should be presented to consumption.
- Business Process: understand business workflows to inform data sources, entities, and attributes for business questions.
- Validation: validate products with users to ensure they meet needs, using data and metrics to inform decisions.
- Performance Analysis: monitor and analyze product performance using KPIs to drive continuous improvement.
- Powered by AI: support incorporating AI in team workflows to speed up performance.
- Team Leadership: lead cross-functional teams to develop and deliver high-quality data products; attract, retain, and develop top data talent; mentor and train team members.
Requirements
- Excellent level of English communication (reading, writing and speaking).
- Experience working with international clients.
- Previous experience in Data Platform and Data Visualization.
- Previous experience in project management.
- Strategic thinking, product mindset.
- Experience with value-based prioritization and risk management.
- Experience with team leadership.
Nice to have
- Experience with Azure cloud platform and Databricks.
- Experience with MS Purview.
- Experience with project management tools.
- Experience with NLP.
Diversity, Equity & Inclusion
CI&T is an equal-opportunity employer.
We celebrate and appreciate the diversity of our CI&Ters’ identities and lived experiences.
We are committed to building, promoting, and retaining a diverse, inclusive, and equitable company and culture focused on creating a better tomorrow.
We recognize that innovation and transformation only happen in diverse, inclusive, and safe work environments.
We encourage candidates from diverse and underrepresented communities to apply for our vacancies.
Benefits
- Maternity and Parental leaves
- Mobile services subsidy
- Sick pay - Life insurance
- CI&T University
- Colombian Holidays
- Paid vacations
- And many others.
Job details
- Seniority level: Not Applicable
- Employment type: Full-time
- Job function: Research, Analyst, and Information Technology
- Industries: IT Services and IT Consulting
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