Senior IT Supervisor - Data Engineering

Medtronic · Healthcare & Pharma

Nanakramguda, Hyderabad, India
On-site
Posted today
Data & AI

Apply on Medtronic Create resume for this job

About the job

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, security, and compliance requirements within regulated industries.

Nice to have:

Previous Medtronic experience.

Experience with Artificial Intelligence (AI), Machine Learning (ML), Generative AI, Retrieval-Augmented Generation (RAG), or Large Language Model (LLM) solutions.

Experience with DataOps, MLOps, Infrastructure as Code (IaC), workflow orchestration, observability, and automated deployment practices.

Experience driving cloud financial management, platform consumption optimization, and FinOps initiatives.

Physical Job Requirements

The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position.

Recruitment Fraud Alert

We are aware of phishing scams targeting job seekers. Please keep the following in mind:

Apply only through official Medtronic channels. All legitimate Medtronic recruiting communications come from approved Medtronic platforms and official @medtronic.com email addresses.

Medtronic will never ask for payment or sensitive personal information (such as bank account or Social Security details) during early stages of the hiring process. Any such requests are not legitimate.

If you receive a suspicious message claiming to be from Medtronic, do not respond, click links, or open attachments.

If you have any questions, concerns regarding the authenticity of a communication alleged to have been made by or on behalf of Medtronic, please contact us immediately at AskHR@medtronic.com .

Benefits & Compensation

Medtronic offers a competitive Salary and flexible Benefits Package

A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage.

This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP).

Apply on Medtronic