Senior IT Supervisor - Data
Medtronic INC · 🌍 Nanakramguda, Hyderabad, India
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Sponsor Radar — Medtronic INC
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About the role
Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. A Day in the Life The Data Platform & Services organization delivers enterprise data, analytics, artificial intelligence (AI), and cloud capabilities that enable scalable, secure, and trusted data solutions across the business. The team is responsible for modernizing data platforms, advancing cloud adoption, and establishing foundational data services that support operational excellence, analytics, and digital transformation initiatives. As the Senior IT Supervisor, Data Engineering, you will drive the implementation of foundational data capabilities that support a variety of business functions. You will cultivate strategic partnerships with stakeholders to successfully implement cloud-based technologies that acquire, process, and store data across multiple latency requirements, enabling Data as a Service (DaaS) and Analytics as a Service (AaaS). You will lead delivery execution and engineering teams focused on data modernization, cloud platforms, AI-enabled solutions, and enterprise data services while advancing engineering excellence, operational reliability, and business value through scalable data solutions. Responsibilities may include the following and other duties may be assigned. • Lead end-to-end delivery of Data, AI, and Cloud initiatives, including platform modernization, migration, integration, and analytics solutions. • Establish engineering standards, quality controls, testing practices, and release readiness processes to ensure first-time quality delivery. • Manage delivery plans, dependencies, risks, issues, resource allocation, and governance activities in partnership with program and project stakeholders. • Coach, mentor, and develop data, cloud, and AI engineering teams through performance feedback, technical guidance, and career development planning. • Implement and scale Agile practices including Scrum and Kanban, driving sprint execution, backlog management, capacity planning, and delivery forecasting. • Partner with business stakeholders, Product Owners, Architects, and Security teams to align technology solutions with business priorities and enterprise standards. • Provide technical leadership for data platforms, cloud technologies, AI solutions, data pipelines, integration frameworks, and operational excellence initiatives. • Drive platform reliability, cost optimization, continuous improvement, incident resolution, and operational performance across enterprise data and cloud environments. Required Knowledge and Experience: • 10+ years of IT experience with a Bachelor's Degree in Engineering, MCA, MSc or MBA. • Experience leading technical teams, coaching engineers, managing performance, and improving delivery effectiveness. • Experience with Databricks and Snowflake platforms, including data engineering, integration, data processing, and platform modernization initiatives. • Experience managing enterprise technology programs, including scope, schedule, risk, dependency, governance, and resource management. • Experience with Agile delivery methodologies, cloud platforms, CI/CD practices, data architecture, and operational support processes. • Experience delivering global enterprise-scale Data, AI, and Cloud programs across multiple business functions and technology platforms. • Knowledge of data governance, responsible AI, privacy