[ Job - 31855] Data Product Manager, Colombia
Quick Summary
Data Lifecycle Management: Manage the complete data lifecycle, from data generation through pipelines to data enablement, ensuring each stage supports downstream analytics and consumption.
Partner with internal and external stakeholders to document data requirements that are clear, specific, and achievable, including how data should be presented for consumption.
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.
CI&T's Data & Analytics practice is scaling its portfolio of data-driven engagements for enterprise clients, and we are looking for an experienced Data Product Manager to lead the full life cycle of our data products. This is a high-visibility leadership role: these positions are historically hard to fill because they demand a genuine technical foundation in data, not just a product or analytics background, and the right professional will directly shape how our data initiatives are prioritized, delivered, and measured.
The Data Product Manager owns data products from ideation through deployment and optimization, combining technical depth, strategic thinking, and people leadership. This role operates at both the strategic level — defining roadmap and priorities with client and business stakeholders — and the operational level, staying close enough to the data architecture and delivery pipeline to make informed, credible decisions.
Responsibilities
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Requirements
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Advanced English proficiency (C1 or above), spoken and written, to communicate directly with international stakeholders
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Solid, hands-on background in data and analytics environments — genuine technical depth is required, not only product or analytics-only experience
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Experience managing data-related projects, including planning, execution, and stakeholder communication
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Strong strategic thinking and product mindset, with experience in value-based prioritization and risk management
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Proven experience leading and developing technical teams
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Experience working within data platform environments hosted on Azure Cloud Services, including exposure to modern data transformation and warehousing tooling such as DBT and Snowflake
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Experience using project management tools to plan, track, and communicate delivery status
Nice to Have
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Prior experience working with international clients across different time zones
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Background transitioning from product management, project management, or technical team leadership (e.g., squad leadership) into data product roles
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Experience with data governance practices
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Experience with additional cloud platform providers (AWS or GCP)
Location & Eligibility
Listing Details
- Posted
- September 30, 2026
- First seen
- September 30, 2026
- Last seen
- September 30, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 68%
- Scored at
- September 30, 2026
Signal breakdown
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