Technical Product Manager

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. For detailed information regarding the benefits applicable to your specific location please consult with one of our recruiters. 

So what are the next steps  

Our team is eager to learn about you! Send us your resume or LinkedIn profile below and well explore working together! 

Remote Work :

No

Employment Type :

Full-time