Technical Product Manager Data Platform & Analytics

Job Title: Technical Product Manager - Data Platform & Analytics Role Overview We are looking for a Technical Product Manager to define and drive a modern data platform that ingests data from multiple sources ensures high data quality and delivers near real-time insights ( 15-minute refresh) via Power BI / Microsoft Fabric dashboards. This role bridges business data engineering and analytics teams to deliver scalable and reliable data products. Key Responsibilities Product Ownership & Strategy Define and own the product vision roadmap and delivery for the data platform Translate business requirements into clear technical specifications and user stories Drive adoption of modern data architecture and near real-time analytics Data Platform & Integration Drive ingestion from multiple data sources (APIs databases streaming third-party systems) Define and manage data workflows using: Databricks / Spark for large-scale processing Delta Lake for reliable scalable data storage Snowflake for data warehousing and analytics Partner with engineering to build scalable efficient data pipelines Data Quality & Freshness Define and enforce data validation quality checks and governance standards Ensure data accuracy completeness and consistency Establish and monitor data freshness SLAs (15-minute refresh cycles) Implement monitoring alerting and issue resolution workflows Analytics & Visualization Deliver business insights through Power BI / Microsoft Fabric dashboards Define and standardize KPIs metrics and semantic models Ensure dashboards provide accurate timely and actionable insights Execution & Collaboration Collaborate with data engineering BI and business stakeholders Drive Agile execution (backlog management sprint planning UAT) Manage dependencies risks and cross-team alignment Required Skills Experience as a Technical Product Manager in data/analytics platforms Strong understanding of: Databricks Spark Delta Lake Snowflake or similar cloud data warehouses Knowledge of data pipelines (ETL/ELT) streaming and near real-time systems Experience with Power BI / Microsoft Fabric (or similar BI tools) Understanding of data quality governance and monitoring frameworks Strong stakeholder management and communication skills Nice to Have Experience with Azure Data Factory Kafka/Event Hubs Familiarity with data modeling SQL and semantic layers Exposure to data governance / MDM frameworks Key Expectations Deliver high-quality near real-time data platform ( 15 min SLA) Ensure trusted consistent and business-ready data outputs Balance technical scalability with business usability Drive end-to-end ownership from ingestion to dashboarding Business Impact Enable a robust data platform that provides trusted near real-time insights driving faster and more informed decision-making across the organization.