Technical Product Manager

Job Description

We are seeking a Technical Product Manager that will play a key role in the evolution of a modern data platform and data product ecosystem, working closely with Data Engineering, Analytics, and Data Science teams to build scalable data capabilities on Databricks and deliver data-driven solutions that create business value. 

Responsibilities

• Define, prioritize, and deliver data products that support business objectives and drive measurable value.
• Collaborate closely with Data Engineering teams to support the development and evolution of a Databricks-based data lake and associated data platforms.
• Translate business needs into clear product requirements, user stories, and delivery roadmaps.
• Partner with analytics, data science, and business stakeholders to identify opportunities for new data-driven products and capabilities.
• Drive product decisions using data, customer feedback, and business priorities.
• Ensure data products are scalable, reliable, and aligned with enterprise data strategy.
• Work across cross-functional teams to remove blockers, solve complex challenges, and deliver outcomes.
• Define success metrics and monitor product performance after launch.
• Promote best practices in data governance, data quality, and product lifecycle management.

Qualifications

• 10+ years of experience in Product Management, Data Product Management, Analytics Product Management, or related fields.
• Strong understanding of modern data platforms, data architecture, and data lifecycle concepts.
• Experience working with Databricks or similar cloud-based data platforms.
• Proven ability to translate complex technical concepts into business value.
• Experience partnering with Data Engineering, Analytics, and Data Science teams.
• Strong problem-solving skills with a practical, solution-oriented mindset.
• Experience in leading cross-functional, highly analytical, and technical teams and enterprise-wide programs, operating and influencing effectively across the organization and within complex contexts.
• Experience with advanced analytic techniques, such as factor analysis, predictive modelling, logistic regression, cluster analysis, segmentation, attitudinal/motivational analysis, concept/copy testing, sales forecasting, response prediction, advertising effectiveness, consumer profiling, marketing mix and ROI measurement.

Nice to have Qualifications

• Experience within Consumer Packaged Goods (CPG) environments.
• Familiarity with retail, consumer, marketing, sales, or measurement-related data concepts.
• Exposure to machine learning, predictive analytics, or data science workflows.
• Experience working in cloud-based data ecosystems (AWS, Azure, or GCP).

Additional Information

Our benefits:

📚 Learning Opportunities: 

• Certifications in AWS (we are AWS Partners), Databricks, and Snowflake. 
• Access to AI learning paths to stay up to date with the latest technologies. 
• Study plans, courses, and additional certifications tailored to your role. 
• Access to Udemy Business, offering thousands of courses to boost your technical and soft skills. 
• English lessons to support your professional communication. 

👩‍🏫 Mentoring and Development: 

• Career development plans and mentorship programs to help shape your path. 

🎁 Celebrations & Support: 

• Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones. 
• Company-provided equipment.  

⚖️ Flexible working options to help you strike the right balance.    

Other benefits may vary according to your location in LATAM.