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.
Labcorp is seeking a remote Manager, Enterprise Systems to join our team!
Work Schedule: This is a full‑time, exempt (salaried) position assigned to a First Shift schedule, with standard business hours of Monday through Friday, 10:00 a.m. to 7.00 p.m.in 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
- Partner with business stakeholders to identify opportunities for leveraging enterprise data to drive business outcomes and decision-making.
- Develop insight solutions aligned to strategic initiatives that deliver simple, compelling, and actionable data visualizations.
- Design, develop, and maintain enterprise reporting, dashboards, scorecards, and analytical solutions using Power BI, Tableau, and other visualization platforms.
- Deliver data in a useful and appealing way by making large and complex datasets accessible, understandable, and actionable for business users and executives.
- Collaborate with business partners, product owners, business analysts, and technical teams to gather requirements and translate them into scalable reporting and analytics solutions.
- Develop custom reports and data products that transform complex data into meaningful business insights.
- Design and maintain semantic models, curated datasets, business metrics, and governed reporting frameworks to support self-service analytics.
- Work closely with Data Engineering teams to build and optimize data pipelines, data models, and data structures required for reporting and analytics.
- Leverage Snowflake, Databricks, and cloud-based data platforms to support enterprise reporting and analytical workloads.
- Perform data analysis to identify patterns, trends, anomalies, opportunities, and actionable insights that support business performance improvement.
- Identify opportunities for automation, performance optimization, and reporting standardization across the analytics ecosystem.
- Develop and maintain technical documentation, data definitions, reporting specifications, and solution designs.
- Deliver and present proof-of-concepts and solution recommendations to business and technology stakeholders.
- Leverage AI-powered capabilities within Power BI and other analytics platforms to enhance insights, user experience, and business value.
- Apply AI-Driven Development Lifecycle (AI-DLC) practices to improve delivery efficiency, reporting development, testing, documentation, and overall engineering productivity.
- Utilize AI-assisted tools to accelerate report development, requirements analysis, code generation, troubleshooting, documentation, and quality assurance activities.
- Collaborate with cross-functional teams to define effort estimates, project roadmaps, and delivery plans.
- Mentor and guide junior developers and analysts while promoting best practices in reporting, analytics, and AI-enabled delivery.
Minimum Qualifications
- Bachelor's degree in computer science, Engineering, Information Systems, Data Analytics, or a related field.
- 10 or more years of experience delivering Reporting, Business Intelligence, Analytics, and Data Visualization solutions.
- 5 or more years of hands-on experience with Power BI, including report development, dashboard creation, semantic modeling, DAX, and enterprise deployment.
- 5 or more years of delivering end-to-end Power BI and/or Tableau implementations from requirements gathering through production deployment.
- 3 or more years of working with Snowflake, Databricks, or modern cloud-based data platforms.
- 3 or more years of experience working with large-scale datasets from multiple structured and semi-structured data sources.
- 4 or more years of experience in developing and supporting ETL/ELT processes and data integration solutions.
- 2 or more years of experience leveraging AI features within Power BI and other analytics platforms to enhance reporting and analytics capabilities.
- 2 or more years of experience applying AI-assisted development tools and AI-DLC practices to improve delivery productivity and solution quality
Additional Job Standards
- Expert knowledge of Power BI including DAX, Power Query, Dataflows, Semantic Models, Workspaces, Deployment Pipelines, and Row-Level Security (RLS).
- Strong experience with Tableau and enterprise reporting platforms.
- Strong understanding of data modeling, dimensional modeling, business metrics, and analytical reporting concepts.
- Strong experience working with business stakeholders to define reporting requirements and recommend technical solutions.
- Strong SQL development and database querying skills.
- Experience with CI/CD, source control, and modern software development practices.
- Hands-on experience with Power BI AI capabilities including Key Influencers, Smart Narratives, Decomposition Trees, Q&A, Natural Language Queries, Forecasting, and AI-powered insights.
- Experience building medium to highly complex reports and dashboards using multiple enterprise data sources.
- Strong knowledge of data visualization principles and best practices.
- Strong experience analyzing business requirements and translating them into scalable reporting solutions.
- Experience with Snowflake, Databricks, Python, PySpark, and data engineering concepts to support reporting initiatives.
- Experience with modern orchestration and scheduling tools such as Airflow, Matillion, or similar technologies.
- Good working knowledge of AWS services including S3, Lambda, EC2, SQS, and SNS.
- Excellent analytical, problem-solving, and communication skills.
- Strong stakeholder engagement and presentation skills.
- Ability to identify patterns, trends, anomalies, and business opportunities through data analysis.
- Experience documenting technical solutions, architecture decisions, and business requirements.
- Experience working in Agile delivery environments.
- Healthcare, Diagnostics, Life Sciences, or Pharma industry experience is a plus.
- 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, Enterprise Systems with 10 or more years of experience delivering data-driven business solutions across Analyti