Product Owner

Sensormatic Electronics — Bangalore-Karnataka-India

Title: Product Owner Data and Integrations Location : Bangalore/Pune, India Overview: Johnson Controls is seeking an experienced and business-focused Product Owner to lead the strategy, roadmap, and delivery of data and integrations teams for an enterprise eCommerce application. This role will serve as the bridge between business stakeholders, technology teams, data engineering, architecture, and external partners to translate business needs into scalable data flows, APIs, integration requirements, and prioritized product backlogs. The Product Owner will drive outcomes that improve data quality, system interoperability, operational efficiency, and user adoption while ensuring solutions meet security, governance, performance, and compliance expectations. The role requires techno-functional skills to analyze data, write SQLs, create and update field mappings, and debug issues with cross-platform teams. Responsibilities: Own and maintain the product vision, roadmap, and prioritized backlog for data and integrations teams. Be the SME for APIs, and data process flows. Partner with business stakeholders to understand objectives, pain points, reporting needs, process gaps, and integration requirements, translating them into clear user stories and acceptance criteria. Collaborate with data engineering, application development, architecture, security, and QA teams to design and deliver scalable, reliable, and secure data and integration solutions. Ensure data quality, lineage, governance, privacy, and compliance considerations are embedded into product requirements and delivery decisions. Manage sprint planning, backlog refinement, release planning, demos, and stakeholder reviews in alignment with Agile delivery practices. Evaluate technical feasibility, business value, risk, and dependency impacts when prioritizing features, enhancements, defects, and technical debt. Work with teams to establish performance, reliability, monitoring, and support expectations for data pipelin

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