Колумбия[ Job - 31855] Data Product Manager, Colombia
2 нед. назад
КолумбияSeniorRemote
data architecturedata analyticsproduct management
Lead the full life cycle of data products, combining technical expertise with strategic leadership to shape data initiatives for enterprise clients.
Обязанности
- Data Lifecycle Management : Manage the complete data lifecycle, from data generation through pipelines to data enablement, ensuring each stage supports downstream analytics and consumption.
- Data Architecture & Infrastructure : Understand the technical architecture and infrastructure that supports the organization's data needs, including storage, integrations, and analytics platforms, to make informed product decisions.
- Task Prioritization & Roadmap : Collaborate with technical and business teams to understand data needs and priorities, and define the roadmap by balancing competing demands from different stakeholders based on business value.
- Data Profiling : Analyze data types, relationships, patterns, and trends to build a clear understanding of the data landscape before defining requirements.
- Requirements Definition : Partner with internal and external stakeholders to document data requirements that are clear, specific, and achievable, including how data should be presented for consumption.
- Business Process Alignment : Understand business workflows in depth, enabling sound assumptions about sources, entities, and attributes when answering business questions.
- Validation : Validate each product with users by testing it against real use cases and using data and metrics to confirm it meets their needs.
- Performance Analysis : Monitor product performance through metrics and KPIs, using data-driven insights to drive continuous improvement of data initiatives and investments.
- AI-Enabled Delivery : Support the incorporation of AI into the team's workflow to speed up delivery and decision-making.
- Team Leadership : Lead cross-functional teams, including data scientists, data developers, and analytics specialists, to deliver high-quality data products. Attract, retain, and develop data talent by mentoring, training, and creating growth opportunities.
Требования
- Advanced English proficiency (C1 or above), spoken and written, to communicate directly with international stakeholders
- Solid, hands-on background in data and analytics environments — genuine technical depth is required, not only product or analytics-only experience
- Experience managing data-related projects, including planning, execution, and stakeholder communication
- Strong strategic thinking and product mindset, with experience in value-based prioritization and risk management
- Proven experience leading and developing technical teams
- 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
- Experience using project management tools to plan, track, and communicate delivery status
Будет плюсом
- Prior experience working with international clients across different time zones
- Background transitioning from product management, project management, or technical team leadership (e.g., squad leadership) into data product roles
- Experience with data governance practices
- Experience with additional cloud platform providers (AWS or GCP)
- #LI-JP3
Другое
- 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.