Manager, Data & Analytics Services

Labcorp; Bengaluru; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

Labcorp is seeking a Data & AI Engineering Manager in Bangalore, India. In this role, you will lead the development of data platforms and AI-driven solutions, ensuring data quality and governance. You will manage a team of engineers focusing on scalable data pipelines, enabling enterprise reporting, and overseeing AI project delivery.

A Bachelor’s degree in a relevant field and extensive experience in data engineering, analytics, and leadership are required. This position offers the opportunity to impact health solutions through data innovation.

Qualifications

• 8+ years in data engineering, analytics, or platform development.
• 4+ years leading data engineering teams.
• Expertise in ETL/ELT pipelines and SQL.
• Experience with AI/ML model deployment.
• 3+ years with cloud platforms like AWS or Azure.

Responsibilities

• Lead and mentor a team of data engineers and AI engineers.
• Design and manage scalable data pipelines and data models.
• Develop analytics-ready datasets for business reporting.
• Ensure data quality and governance across the ecosystem.

Skills

Data engineering

Team leadership

ETL/ELT pipelines

SQL

Data modeling

BI tools (Tableau, Power BI)

Cloud platforms (AWS, Azure, GCP)

AI/ML project management

Education

Bachelor’s degree in computer science or related field

Tools

Databricks

Snowflake

Tableau

Power BI

Job description

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.

Position

Data & AI Engineering Manager – Bangalore, India.

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.

Equal Opportunity Employer Statement

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.