Manager, Data and Analytics Services

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 worlds 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 youll have the opportunity to do meaningful work grow your career and make a real impact on peoples health around the world. Together were 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 fulltime exempt (salaried) position assigned to a Second Shift schedule with standard business hours of Monday through Friday 11:00 a.m. to 8.00 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

• Bachelors 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 more years of hands-on experience with PySpark Python Spark SQL and scalable data processing frameworks.
• 5 or more years of Snowflake and/or Databricks implementation experience.
• 3 or more years of strong experience handling structured semi-structured and unstructured data formats including XML JSON Avro and Parquet.
• 4 or more years of experience designing and implementing ETL/ELT solutions from multiple enterprise data sources.
• 4 or more years of experience developing modern cloud-native data platforms and data pipelines.
• 4 or more years of experience supporting enterprise reporting and analytics solutions using Power BI Tableau or similar reporting platforms.
• 4 or more years of experience working with AI-assisted development tools and applying AI capabilities to improve software delivery testing documentation and development productivity.

Additional Job Standards

• Strong experience with modern orchestration and scheduling tools such as Airflow Matillion or similar platforms.
• Strong understanding of data quality data governance and data lifecycle management principles.
• Experience in CI/CD practices using Jenkins Terraform Docker GitHub AWS and Kubernetes.
• Experience working with distributed data processing technologies including Hadoop Spark Kafka and streaming frameworks.
• Strong experience in business intelligence reporting analytics and data visualization solutions.
• Good working knowledge of AWS technologies including EC2 S3 Lambda SQS SNS and related cloud services.
• Strong programming experience using SQL PL/SQL stored procedures views materialized views indexing and database optimization techniques.
• Strong understanding of Data Warehousing concepts including Fact and Dimension modeling Star Schemas Snowflake Schemas and data integration patterns.
• Excellent communication stakeholder management and collaboration skills.
• Ability to lead technical discussions solution design workshops and architecture reviews.
• Demonstrated ability to leverage AI-powered engineering tools to improve delivery quality accelerate development cycles and support continuous innovation.
• Experience in Healthcare Diagnostics Life Sciences or Pharma industry is a plus.

About the Role
We are seeking a highly skilled Manager Data & Analytics Services with 8 plus years of experience to Design and implement highly performant data ingestion and transformation pipelines from multiple enterprise data sources. The ideal candidate will have strong expertise in Data Engineering Data Warehousing and Analytics solutions experience and strong experience with PySpark Python Spark SQL and scalable data processing frameworks along with the experience into Snowflake and/or Databricks implementation experience and implementing ETL/ELT solutions from multiple enterprise data sources. and best practices and will collaborate closely with business stakeholders analysts and development teams to gather requirements and translate them into scalable data solutions.

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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