Prabhjot Kaur

About Prabhjot Kaur

With over 12 years of IT experience in various roles, I am a data-driven product and project leader who specializes in healthcare IT. I have CSM and CSPO certifications, as well as advanced skills in SQL, data modeling, and agile methodologies. I have successfully launched and iterated on products that enhance data quality, governance, and collaboration in the healthcare industry.In my most recent role at Medtronic, I have been driving enterprise data strategy as a Data Product Manager, leading the integration of Databricks (DBX) to enhance data workflows and business intelligence capabilities. I work cross-functionally with stakeholders, engineers, and business leaders to identify operational gaps, develop scalable data-driven solutions, and optimize analytics for strategic decision-makingThroughout my career, I have leveraged my strong communication, stakeholder engagement, and problem-solving skills to forge strategic partnerships with key business units and vendors. My expertise lies in translating complex requirements into value-driven solutions, enhancing data governance, and driving continuous innovation.I am passionate about leveraging data, technology, and product management to create impactful solutions that enhance healthcare efficiency and improve patient outcomes. Always looking to connect with like-minded professionals to explore new opportunities in data-driven innovation!

Experience

1. Data Product Manager

   Daikin Applied Americas

   Jun 2025 — Present

   Strategic Data Planning & Enterprise Roadmap Creation: Establish the enterprise data product planning model from the ground up, defining multi-sprint roadmaps where no formal analytics roadmap previously existed- Decision Intelligence & Insight Development: Deliver leadership-ready insights by translating data into actionable intelligence on performance drivers, process behavior, and operational patterns- Self-Service Analytics & AI Enablement (Databricks Genie Rooms): Stand up Databricks Genie Rooms to enable stakeholders to ask natural-language questions against governed datasets, improving speed-to-answer and reducing reliance on ad hoc reporting- Enterprise KPI Architecture & Metric Standardization: Define KPI frameworks and governance to ensure consistent interpretation across departments-Centralized Dashboard Strategy & Delivery: Lead delivery of centralized reporting (workforce + business performance), ensuring relevance, accuracy, and scalability-Sprint Leadership & Cross-Functional Delivery: Drive sprint execution (requirements, user stories, backlog management, dependencies) across business and technical teams-Role-Based Security & Compliance: Implement role-based access controls aligned to enterprise standards-Continuous Improvement & Adoption Loops: Create feedback mechanisms to improve trust, usability, and adoption of enterprise analytics products.