Technical Product Manager — Data Platforms & AI

Nuaav

Bogotá

On-site

COP 127,311,000 - 222,795,000

Full time

9 days ago

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Job summary

Nuaav is seeking a Technical Product Manager for Data & Engineering in Colombia. You will translate business needs into practical data solutions, bridge stakeholders and engineering teams, and evaluate AI-enabled approaches to create business value.

You will drive initiatives from idea to execution, taking ownership with minimal supervision, while growing into technical leadership and shaping data platforms and cloud-enabled architectures to support strategic outcomes.

Qualifications

  • 4+ years of Data Engineering experience and a strong technical foundation in SQL, data modeling, ETL/ELT, and data architecture.
  • Experience with enterprise data platforms and cloud environments, preferably Azure.
  • Strong communication skills and the ability to explain technical concepts to business stakeholders.
  • A proactive, autonomous mindset and genuine interest in growing into technical leadership.
  • Curiosity about AI and its practical applications.

Responsibilities

  • Translate business needs into clear, practical technical solutions.
  • Bridge the gap between business stakeholders and engineering teams.
  • Identify opportunities to use AI and automation to create business value.
  • Evaluate technical approaches, trade-offs, and solution feasibility.
  • Take ownership of initiatives and drive execution with minimal supervision.

Skills

SQL
Data Modeling
ETL/ELT
Data Architecture
Azure
Communication
Leadership potential
AI curiosity

Tools

Snowflake
SQL Server

Job description

Nuaav is seeking a Technical Product Manager for Data & Engineering in Colombia. You will translate business needs into practical data solutions, bridge stakeholders and engineering teams, and evaluate AI-enabled approaches to create business value.

You will drive initiatives from idea to execution, taking ownership with minimal supervision, while growing into technical leadership and shaping data platforms and cloud-enabled architectures to support strategic outcomes.

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