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 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.

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

• Bachelors 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.
• Strong knowledge of Agile delivery methodologies DevOps CI/CD practices and cloud-native solution development.
• Excellent stakeholder management communication leadership and problem-solving skills.
• Experience in Healthcare Diagnostics Life Sciences or Pharma industry.

• Experience working with management and their staff to understand day-to-day business operations and requirements to provide reporting results that are streamlined and support operational procedures.
• Good knowledge of handling databases and proficiency in SQL including experience with Toad/Today Data Point for Oracle (or equivalent).
• Six Sigma or Lean experience.
• Experience in developing auto-generated reports (e.g. SQL Server Report Services Telerik Reporting etc.).
• Experience in developing a hands-off approach to the generation and delivery of complex informational reporting.
• Experience in rapid application development is highly desired.
• Must possess excellent PC skills: (MS Word Excel PowerPoint Access).

The Senior Manager Data Analytics is responsible for supporting and delivering business intelligence to SVPs VPs GMs Sr. Directors Lab Management and additional leadership stakeholders within the Labcorp Diagnostics Operations organization. Utilizes analytical tools to streamline and automate (when possible) data management data analysis reporting and data visualization. Tasked with ensuring that business leaders are provided with a balanced view of actionable insights into the health of the Diagnostics Operations supply chain. Manages resource related to business process analytics responsible for the reporting of esoteric business unit performance.

Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical Dental Vision Life STD/LTD 401(k) Paid Time Off (PTO) or Flexible Time Off (FTO) Tuition Reimbursement and Employee Stock Purchase regularly scheduled to work less than 20 hours Casual Intern and Temporary employees are only eligible to participate in the 401(k) who are regularly scheduled toworka 7 on 7 off schedule are eligible to receive all the foregoing benefits except PTO or FTO. For more detailed information pleaseclick here.

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

If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs or needs an accommodation please visit ouraccessibility siteor contact us at . Formore information about how we collect and store your personal data please see ourPrivacy Statement.