Senior Data Product Manager

Description

Job Summary: We are seeking a Senior Data Product Manager to lead the transformation of data into a Data as a Product model, aligning strategic objectives and promoting scalable, business-oriented solutions. Key Highlights: 1. Lead the transformation of data into a Data as a Product model 2. Manage the data product lifecycle and define the vision 3. Positive and inclusive work environment focused on continuous growth **About Us:** At Sourcing Trust, we are committed to delivering innovative, reliable, and customized technology solutions that empower businesses to thrive in a rapidly evolving digital landscape. Focused on excellence, integrity, and collaboration, we build lasting partnerships by understanding each client’s unique needs and providing specialized support across all stages. Our team is dedicated to fostering a positive and inclusive workplace where every employee’s contribution is valued, encouraging continuous growth, learning, and shared success. Join us and become part of a passionate organization driven by innovation and excellence. **About the Role:** We are looking for a **Senior Data Product Manager** to lead how data generates value within the organization. This role will be pivotal in evolving from a delivery-focused data approach to a Data as a Product model, aligning strategic goals with execution and promoting the creation of scalable, robust, and business-oriented data solutions. The candidate will play a decisive role in defining the vision for data products, managing their lifecycle, and fostering a data-driven culture—collaborating across teams to ensure every initiative delivers real, measurable impact. **Requirements:** * 5+ years of experience in the **Data** domain, performing roles such as **Product Manager or Product Owner with strong technical components** * Proven experience in **managing the data product lifecycle**, from vision definition through delivery and continuous evolution * Demonstrated experience in **stakeholder management** and leading complex initiatives in multidisciplinary environments * Ability to **lead discovery processes**, design, and implementation of solutions in highly complex contexts. **Technical Competencies:** * Solid knowledge of **data platforms, data architecture, and analytics engineering** * Experience with **scalable and modern data architectures** * Proficiency in **data modeling**, including dimensional modeling and other approaches suited to business needs * Advanced **SQL** knowledge * Experience defining **governance frameworks, data quality, metadata, and cataloging** * Familiarity with **cloud environments**, specifically **Azure**, **AWS**, **GCP**, or **Microsoft Fabric** * Experience with **modern Data Warehouses** * Knowledge of **Business Intelligence tools**, such as **Power BI, Tableau, or Looker** * Conceptual understanding of **CI/CD, Machine Learning workflows, and feature engineering** * Knowledge of **SLA definition, data contracts, and quality agreements** * Sensitivity to topics of **privacy**, **compliance**, and **cost optimization** in data environments.