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).

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.

Versátil working options

Flexible working options to help you strike the right balance.

#J-18808-Ljbffr

📌 Technical Product Manager (Centro)
🏢 Blend
📍 Centro