Product Data Manager

Role: Data Product ManagerExperience- 10+ YearsLocation- SharjahRole SummaryThe Data Product Manager / Business Analyst owns the vision, roadmap, and functional definition of the organization's central data platform. This role sits at the intersection of business strategy and technical delivery — translating enterprise data needs into a prioritized backlog of platform capabilities, and ensuring that everything built on Microsoft Fabric and Informatica IDMC actually serves real business and analytical outcomes rather than becoming a purely technical exercise. The role owns the "what and why," partnering closely with data engineers, architects, and platform administrators who own the "how."Key ResponsibilitiesProduct Vision & Strategy• Define and continuously evolve the product vision, target operating model, and multi-quarter roadmap for the central data platform, aligned to the organization's broader data and AI strategy.• Prioritize platform capabilities (new data domains, integration patterns, governance features, self-service analytics) based on business value, technical feasibility, and dependency sequencing.• Own the platform's value proposition to internal stakeholders — articulating why a centralized, governed platform beats fragmented departmental data solutions.Requirements Definition & Functional Design• Define and maintain the platform's data domain model, use-case catalog, and prioritized backlog (e.g., in Azure DevOps/Jira), balancing new build against platform hardening and technical debt.• Produce and maintain source-to-target mapping documents, business glossaries, and data dictionaries in partnership with data governance leads.Platform Functionality Ownership — Microsoft Fabric• Define requirements for OneLake-based data landing, Lakehouse/Warehouse modeling (medallion architecture — Bronze/Silver/Gold), and Data Factory pipeline/Dataflow Gen2 orchestration needs across source systems.• Specify functional requirements for Real-Time Intelligence use cases (EventStream/Eventhouse) where streaming or near-real-time data is required.• Define consumption-layer requirements for Power BI, including Direct Lake semantic models, so that business users get performant, governed self-service analytics.• Work with platform architects on workspace structuring, capacity (F-SKU) allocation planning, and Purview-based governance alignment.Platform Functionality Ownership — Informatica IDMC• Define data integration requirements delivered through Cloud Data Integration (CDI), including source connectivity, transformation rules, and orchestration patterns feeding the Fabric lake house.• Specify data quality rules, profiling requirements, and remediation workflows to be implemented in Cloud Data Quality.• Define business glossary, data lineage, and stewardship workflow requirements within Cloud Data Governance & Catalog (CDGC), including domain/sub-domain and business term taxonomies.• Document master data requirements (golden record definitions, match/merge rules, survivorship logic) for implementation in Informatica MDM SaaS (Customer 360 / Product 360 / Reference 360 as applicable).Required Qualifications• Bachelor's degree in Information Systems, Computer Science, Business Administration, or related field (Master's preferred).• 5+ years of experience as a Business Analyst, Product Manager, or Product Owner on enterprise data platform, data warehouse, or analytics initiatives.• Demonstrated experience defining requirements for cloud data platforms — direct experience with Microsoft Fabric (or Azure Synapse/Power BI ecosystem) and Informatica (IDMC or legacy PowerCenter/Axon/EDC) strongly preferred.• Proven experience translating ambiguous business needs into structured functional specifications and backlog items.• Experience working within a formal governance framework (data classification, stewardship models, data quality SLAs).• Experience in Agile/Scrum delivery environments, including backlog management tools (Azure DevOps, Jira).Technical Knowledge• Microsoft Fabric: OneLake architecture and Shortcuts, Lakehouse vs. Warehouse patterns, Data Factory (pipelines + Dataflow Gen2), Real-Time Intelligence (EventStream/Eventhouse), Power BI/Direct Lake semantic models, Purview-based governance, F-SKU capacity model.• Informatica IDMC: Cloud Data Integration, Cloud Data Quality, Cloud Data Governance & Catalog (CDGC), Metadata Command Center, MDM SaaS applications, Data Marketplace, and a working understanding of CLAIRE AI-driven automation.• Working knowledge of data modeling concepts (dimensional modeling, medallion/bronze-silver-gold architecture), data lineage, and master data management principles.• Familiarity with data privacy and sector-specific regulatory frameworks relevant to the organization's industry.