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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Product Owner - INTL Brazil - **Company:** Insight Global - **Location:** Gaithersburg, MD, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Agile Methodology, Data Analysis, Microsoft Azure, Cloud Database, Data Architecture, Data Dictionary, Data Governance, Data Transformation, Digital Assets, Metadata, Power BI, Standard Sql, Requirements Management, Data Streaming, Enterprise Data Management, Data Ingestion, Snowflake, Data Lineage, Build Process, Data Management, Data Pipelines, Databricks - **Published:** July 2, 2026 - **Apply:** https://www.juju.com/job/00000000geqo28 ## About the Role 5-10+ years of experience in Data Management, Data Governance, Data Product Ownership, or Data Asset Ownership Strong understanding of data domains, data lineage, and end-to-end data flows Experience owning a data domain and serving as the SME for how data moves through systems Ability to document and map data flows, data pipelines, metadata, and system relationships Experience gathering business requirements and translating them into actionable work for technical teams * Familiarity with: Azure DevOps Databricks Cloud data environments (Azure preferred) Snowflake or similar data platforms SQL skills for data exploration and validation Experience with Power BI and Excel for reporting, status updates, and stakeholder communication Experience working in Agile/SAFe environments Excellent communication skills with the ability to partner with both technical and non-technical stakeholders Comfortable managing challenging stakeholders and driving alignment across teams Experience working with global and cross-functional teams Food Services, Manufacturing, Supply Chain, or Food Production industry experience Knowledge of Data Governance, Data Privacy, GDPR, CCPA, DMA, or DSA regulations Exposure to enterprise data platforms and large-scale integration initiatives SAFe Certification ## Description Data Asset Delivery and Execution * Accountable for end-to-end delivery of data assets, ensuring secure, reliable, and timely accessibility of prioritized data for business use cases, based on the backlog given and prioritized by the Data Asset Manager (DAM). * Drives data ingestion and data asset build processes, including scoping and delivery with his own build squad (development team), and coordination across demand and run processes. * Leads and coordinates technical build squads to deliver standardized, documented, and reusable datasets aligned with Datahub standards. Data Design and Requirements Management * Leads data needs understanding and design * Identifies, documents, and maintains the data asset pipelines, their metadata * Captures and managers use-case requirements (local and global scope). Governance, Compliance, and Standards * Ensures compliance with architecture, security, and governance requirements * Coordinates validations across Data Owners, Business Process Owners, Data Privacy Office, Security, Design Authority * Maintains required documentation (data contracts, mappings, data dictionaries, High Level Designs, sign-off of different parties) * Applies the data policies defined by Data Governance during the lifecycle of the data assets Stakeholder Management and Strategic Alignment * Aligns with DAM on data prioritization, governance framework, and resource allocation. * Engage sponsors and top management on Data Centric Principles vision * Coordinates stakeholders across business, support functions, IT, and global data hubs to ensure alignment, standards adherence, and delivery consistency. Data Quality, Operations and Product Enablement * Owns data quality for delivered assets by defining KQIs and thresholds, monitoring data observability * Supports run teams with root cause analysis and complex issue resolution. * Ensures proper documentation of data transformations * Enables user access through the data marketplace, keeps marketplace and user accesses up to date ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)