Labcorp is a global leader in laboratory services, providing the insights and answers that help healthcare providers, patients, researchers, pharmaceutical companies and health systems make confident decisions and improve outcomes. Through our unparalleled science, data, technology and laboratory network, we advance diagnostics, accelerate innovation and help address some of the world’s most important health challenges. As we shape the future of healthcare, we are leveraging advanced technologies, intelligent digital solutions and data-driven innovation across our operations to enhance how work gets done and deliver greater value to customers and patients. With our global scale and deep expertise, you’ll have the opportunity to do meaningful work, grow your career and make a real impact on people’s health around the world. Together, we’re improving health and improving lives.
Labcorp is a global leader in diagnostic testing and drug development solutions, helping healthcare providers, researchers, and patients make informed decisions that advance care. Join us in our mission to improve health and improve lives.
Labcorp is seeking a Manager, Data & Analytics Services to join our team at Bengaluru, India Office.
Work Schedule : This is a full‑time, exempt (salaried) position assigned to a Second Shift schedule, with standard business hours of Monday through Friday, 11:00 a.m. to 8.00 p.m.in your local time zone. Business needs may occasionally require flexibility in work hours, including earlier, later, or additional hours, with reasonable notice provided when possible.
Job Responsibilities
Team Development and Mentorship
Mentor junior engineers and promote engineering best practices across the team.
Technical Oversight
Design and implement highly performant data ingestion and transformation pipelines from multiple enterprise data sources.
Develop scalable, reusable, and maintainable data engineering frameworks to support analytics, reporting, and operational workloads.
Integrate end-to-end data pipelines from source systems to target repositories while ensuring data quality, consistency, security, and governance.
Design and support modern cloud-based data platforms using Snowflake, Databricks, AWS, and related technologies.
Work with event-based and streaming technologies to ingest and process real-time data.
Collaboration and Stakeholder Management
Collaborate with business stakeholders, analysts, and development teams to gather requirements and translate them into scalable data solutions.
Delivery and Operations
Design and implement curated datasets and semantic layers that support self-service analytics and enterprise reporting.
Support the development and delivery of executive dashboards, operational reporting, and business intelligence solutions using Power BI, Tableau, or similar platforms.
Perform analysis of new business requirements and recommend optimal technical solutions and architecture patterns.
Deliver and present proof of concepts for key technology components and data platform capabilities to project stakeholders.
Evaluate emerging technologies, platforms, and tools against business and technical requirements.
Leverage AI-powered development tools and practices to improve engineering productivity, code quality, testing, documentation, and solution delivery.
Apply AI-Driven Development Lifecycle (AI-DLC) practices across design, development, testing, deployment, and operational support activities.
Participate in code reviews, architecture discussions, and continuous improvement initiatives to enhance delivery effectiveness and engineering standard
Innovation and Emerging Technologies
Stay current with emerging technologies and industry trends to inform innovation and continuous improvement efforts.
Minimum Qualifications
Bachelor’s degree in computer science, Engineering, Information Systems, or a related field.
8 or more years of experience in Data Engineering, Data Warehousing, and Analytics solutions.
5 or…