Senior Manager, Data Analytics Enablement

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.

Work Schedule

This is a full-time, exempt (salaried) position assigned to a First Shift schedule, with standard business hours of Monday through Friday, 8:00 a.m. to 5:00 p.m. Business needs may occasionally require flexibility in work hours, including earlier, later, or additional hours, with reasonable notice provided when possible.

Responsibilities

• Lead solution design, architecture reviews, and technical governance for enterprise data, analytics, reporting, and AI initiatives.
• Partner with business stakeholders, product owners, project managers, and architects to translate business requirements into scalable technology solutions.
• 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.
• Lead, coach, mentor, and develop high-performing teams of Data Engineers, Analytics Engineers, and technical professionals.
• 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.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
• 12 or more years of experience in Data Engineering, Data Warehousing, Analytics, or related technology domains.
• 5 or more years of experience leading and managing technical teams, including performance management, coaching, and talent development.

• 5 or more years of experience in data analytics.
• 5 or more years of experience with database administration, application program development, SQL development on multiple platforms, and report development/generation required.

Preferred Qualifications

• 5 or more years of experience with Tableau and Alteryx.
• SQL certification, Tableau certification; Six Sigma or Lean certification

Additional Job Standards

• Proven experience delivering enterprise-scale data, analytics, and reporting solutions using Snowflake, Databricks, AWS, and modern cloud technologies.
• Strong expertise in Data Engineering, Data Warehousing, Data Modeling, ETL/ELT frameworks, Data Governance, and Analytics platforms.
• Experience leading solution architecture reviews, technical design governance, and large-scale implementation programs.
• Strong understanding of Data Lake, Lakehouse, and modern cloud-based data platform architectures.
• Hands-on experience with technologies such as Python, PySpark, Spark, SQL, and enterprise data integration tools.
• Experience with business intelligence and visualization platforms such as Power BI, Tableau, or similar technologies.
• Experience leveraging AI-assisted development tools and implementing AI-driven engineering practices to improve delivery effectiveness and productivity.

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