Product Manager-Unified Data Platform

As a Product Manager for the Enterprise Data Management Platform, your role will involve defining, leading, and scaling a unified foundation that drives data ingestion, transformation, storage, governance, quality, and analytics across the organization. You will need to bring extensive experience across the data lifecycle, data lake and warehouse architectures, data governance frameworks, and data quality management. Your strategic vision, technical acumen, and leadership will be crucial in delivering a trusted, scalable, and insight-driven data ecosystem. **Key Responsibilities:** - Define and own the vision, strategy, and roadmap for the Data Management Platform covering ingestion, transformation, storage, governance, and consumption layers. - Lead the design and implementation of streaming and batch ingestion pipelines to collect data from diverse enterprise systems. - Drive the creation of ETL/ELT workflows ensuring seamless data movement and transformation across platforms. - Oversee the setup and modernization of data lakes, data warehouses, and lakehouse architectures to support both analytical and operational workloads. - Establish and enforce data governance frameworks, including data lineage, cataloging, quality, metadata management, access control, and compliance. - Partner with data engineering, data science teams to ensure architectural alignment with business goals. - Implement data stewardship models across business domains to ensure data accountability and consistency. - Evaluate and onboard tools for data observability, data quality monitoring, and lifecycle management (retention, archival, and purging). - Define and monitor KPIs for data quality, accessibility, and timeliness, ensuring continuous improvement through analytics and automation. - Promote data democratization by enabling governed self-service access through catalogs, APIs, and visualization tools. **Qualifications Required:** - 5 years of Product Management experience in Data Platforms, Data Engineering, or Data Governance. - Strong understanding of data architecture principles including data modeling, ETL/ELT, and data lake/warehouse design. - Deep knowledge of data governance, including ownership, stewardship, lineage, quality, and compliance. - Hands-on exposure to at least one data governance or quality tool is mandatory. - Proven experience with tools and frameworks such as: Data Cataloging & Metadata Management, Data Quality & Observability, Data Lineage & Governance, ETL / ELT & Integration, Data Lakes & Warehouses. - Familiarity with data orchestration and workflow automation. - Knowledge of data security, RBAC, and compliance frameworks (GDPR, CCPA, HIPAA). - Strong analytical, problem-solving, and stakeholder management skills with the ability to translate data capabilities into business value. In addition to the above details, the job description did not include any additional information about the company. As a Product Manager for the Enterprise Data Management Platform, your role will involve defining, leading, and scaling a unified foundation that drives data ingestion, transformation, storage, governance, quality, and analytics across the organization. You will need to bring extensive experience across the data lifecycle, data lake and warehouse architectures, data governance frameworks, and data quality management. Your strategic vision, technical acumen, and leadership will be crucial in delivering a trusted, scalable, and insight-driven data ecosystem. **Key Responsibilities:** - Define and own the vision, strategy, and roadmap for the Data Management Platform covering ingestion, transformation, storage, governance, and consumption layers. - Lead the design and implementation of streaming and batch ingestion pipelines to collect data from diverse enterprise systems. - Drive the creation of ETL/ELT workflows ensuring seamless data movement and transformation across platforms. - Oversee the setup and modernization of data lakes, data warehouses, and lakehouse architectures to support both analytical and operational workloads. - Establish and enforce data governance frameworks, including data lineage, cataloging, quality, metadata management, access control, and compliance. - Partner with data engineering, data science teams to ensure architectural alignment with business goals. - Implement data stewardship models across business domains to ensure data accountability and consistency. - Evaluate and onboard tools for data observability, data quality monitoring, and lifecycle management (retention, archival, and purging). - Define and monitor KPIs for data quality, accessibility, and timeliness, ensuring continuous improvement through analytics and automation. - Promote data democratization by enabling governed self-service access through catalogs, APIs, and visualization tools. **Qualifications Required:** - 5 years of Product Management experience in Data Platforms, Data Engineering, or Data Governance. -