Data Product Manager – Senior

Job not on LinkedIn

🔥 0 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Grupo Fácil

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1996

🏥 Healthcare

💸 Finance

💳 Fintech

Healthcare • Finance • Fintech

Grupo Fácil is a national reference in technology and solutions for the Healthcare and Financial institutions sectors, with over 29 years of experience. The group is composed of several companies that excel in customer service and technical excellence, focusing on delivering surprising results and being closely connected to market trends. Grupo Fácil prides itself on its solidity and boldness in undertaking projects that set a benchmark in the industry.

📋 Description

• Provide technical leadership for the data team • Define and manage the data and AI product portfolio strategy • Develop and maintain the corporate data and AI roadmap • Ensure data initiatives are aligned with the company's strategic priorities • Lead portfolio OKR definition and monitor performance indicators and ROI • Present results and progress of the area to senior leadership • Conduct data product discovery processes with business areas • Prioritize the corporate backlog of data and AI initiatives • Define standards, metrics, and data product quality agreements (SLAs/SLOs) • Act as an integrator across areas, ensuring interoperability and a systemic view • Work together with Data Engineering, Analytics, and MLOps teams to deliver products • Oversee launches, internal communication, and adoption of data products • Collect and analyze user feedback for continuous improvement • Support structuring processes and documentation for the Data-as-a-Product practice

🎯 Requirements

• Solid experience providing technical leadership for data teams (Data Engineering, BI, Data Science/Analytics) • Hands-on proficiency in programming and data manipulation languages, especially SQL and Python • Experience building, maintaining, and architecting Data Warehouses, data pipelines, and ETL/ELT processes • Experience with visualization and Business Intelligence tools (e.g., Power BI, Tableau, Streamlit) • Experience with cloud platforms, particularly AWS (S3, Athena) • Technical proficiency with relational databases (Oracle, SQL Server, PostgreSQL) • Knowledge of agile management (Scrum), backlog prioritization frameworks, and OKR/quality metric definition (SLA/SLO) • Analytical ability to translate complex business requirements into scalable data products • Bachelor's degree (e.g., Business Administration, Computer Science, Engineering, or related fields) • Practical knowledge of data orchestration and ingestion tools such as Apache Hop, Apache NiFi, Pentaho, and SAS • Previous experience in the supplemental health sector (health plan operators, knowledge of care rules, claim denials/glosas, ANS) • Strong knowledge of data governance practices and compliance with privacy legislation (LGPD) • Familiarity with the lifecycle of predictive models, MLOps, and Artificial Intelligence

🏖️ Benefits

• Profit-sharing (PLR) • Alura