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 Senior 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
Lead, coach, mentor, and develop high-performing teams of Data Engineers, Analytics Engineers, and technical professionals.
Technical Oversight & Delivery and Operations
Lead solution design, architecture reviews, and technical governance for enterprise data, analytics, reporting, and AI initiatives.
Oversee the end-to-end delivery of enterprise solutions, ensuring quality, security, scalability, and alignment with business objectives.
Guide teams in the design and implementation of modern cloud-based data platforms leveraging technologies such as Snowflake, Databricks, AWS, and related services.
Establish and enforce best practices for data engineering, data governance, data quality, security, and operational support.
Drive adoption of AI-powered engineering tools and AI-Driven Development Lifecycle (AI-DLC) practices across design, development, testing, deployment, and support activities.
Evaluate emerging technologies and lead proof-of-concept initiatives to improve platform capabilities and delivery efficiency.
Collaborate with enterprise architecture, infrastructure, security, and operations teams to ensure alignment with enterprise standards.
Manage technical risks, dependencies, and delivery challenges while ensuring successful project outcomes.
Support executive reporting, business intelligence, analytics, and data-driven decision-making initiatives.
Serve as a trusted advisor to business and technology leadership on data, analytics, AI, and enterprise platform strategy.
Drive workforce planning, capacity management, resource allocation, utilization tracking, performance management, and succession planning.
Foster a culture of innovation, accountability, continuous learning, and engineering excellence.
Collaboration and Stakeholder Management
Partner with business stakeholders, product owners, project managers, and architects to translate business requirements into scalable technology solutions.
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.
10 or more years of experience in Data Engineering, Data Warehousing, Analytics, or related technology domains.
5 or more years of…