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 Data & AI Engineering Manager to join our team at Bangalore, India Office.
Work Schedule
Candidate is required to follow the work schedule of 10.00 AM to 7:00 PM IST.
Job Responsibilities
Lead and mentor a team of data engineers and AI engineers.
Design and manage scalable data pipelines, data models, and enterprise data platforms.
Develop analytics-ready datasets to support business reporting and dashboards using BI tools.
Ensure data quality, governance, reliability, and performance across the data ecosystem.
Manage delivery of AI and machine learning initiatives, working closely with data scientists and business teams.
Oversee the lifecycle of AI/GenAI use cases, from concept to deployment and value realization.
Collaborate with stakeholders to translate business needs into data and AI solutions.
Contribute to the data and AI technology roadmap and architecture strategy.
Minimum Qualifications
Bachelor’s degree in computer science, Engineering, Data Science or related field.
8 or more years of experience in data engineering, analytics engineering, or data platform development.
4 or more years of Proven leadership experience managing data engineering teams.
4 or more years of strong expertise in ETL/ELT pipelines, SQL, data modeling, and modern data platforms (e.g., Databricks, Snowflake).
3 or more years of Experience enabling BI and reporting solutions (e.g., Tableau, Power BI).
3 or more years of Exposure to AI/ML or GenAI projects, with understanding of model deployment and lifecycle management.
3 or more years of experience working with cloud platforms (AWS, Azure, or GCP).
About the Role:
As the Data & AI Engineering Manager at Labcorp, you will lead the development of the Labcorp’s data platform, analytics capabilities, and AI-driven solutions. This role combines strong expertise in data engineering, reporting enablement, and AI project delivery. As a manager you will oversee a team responsible for building scalable data pipelines, enabling enterprise reporting, and supporting the deployment of AI and machine learning solutions that drive business value.
Labcorp is proud to be an Equal Opportunity Employer:
Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law.
We encourage all to apply
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Skills Required
- Bachelor's or master's degree in computer science, Engineering, Data Science, or related field
- 8-12 years of experience in data engineering, analytics engineering, or data platform development
- 4+ years of Proven leadership experience managing data engineering teams
- 4+ years of strong expertise in ETL/ELT pipelines, SQL, data modeling, and modern data platforms
- 3+ years of Experience enabling BI and reporting solutions
- 3+ years of Exposure to AI/ML or GenAI projects
- 3+ years of experience working with cloud platforms
What We Do
We believe in harnessing science for human good. And so we work day and night, around the world, to deliver answers for all your health questions—whether you’re a provider, drug developer, hospital, medical researcher or patient. That means everything from advancing diagnostic testing to helping launch new drugs, to offering new perspectives through data - all drawing from a deep well of scientific expertise. So when you need trusted information to make clear, confident health decisions, consider us your source.
