Data Analytics Enablement Lead — AI & Cloud

NCBioImpact; Durham (NC); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Life insurance

STD/LTD

401(k)

PTO/FTO

Tuition reimbursement

Employee stock purchase plan

Job summary

Labcorp is seeking a Senior Manager, Data Analytics to lead design, governance, and delivery of enterprise data, analytics, and AI initiatives. You will partner with stakeholders to translate requirements into scalable cloud solutions using Snowflake, Databricks, and AWS while guiding teams through the full delivery lifecycle.

The role emphasizes data quality, governance and security, collaboration with architecture, security and operations, and mentoring high‑performing data engineers.

Qualifications

• Lead solution design, architecture reviews, and governance for data, analytics, and AI initiatives.
• Translate business requirements into scalable technology solutions with stakeholders.
• Oversee end-to-end delivery of enterprise data platforms ensuring quality and security.
• Guide teams in designing cloud-based data platforms using Snowflake, Databricks, AWS.
• Establish best practices for data engineering, governance, quality, and security.
• Drive AI-driven engineering practices across the SDLC and operations.
• Collaborate with architecture, security, and operations to align with standards.
• Manage technical risks, dependencies, and delivery challenges.
• Support executive reporting, BI, and data-driven decision making.
• Mentor high-performing Data Engineers and Analytics Engineers.

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.

Skills

Python

PySpark

Spark

SQL

BI tools

Power BI

Tableau

Data governance

Cloud

Leadership

Education

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field

Tools

Snowflake

Databricks

AWS

Toad

Today Data Point

Job description

Labcorp is seeking a Senior Manager, Data Analytics to lead design, governance, and delivery of enterprise data, analytics, and AI initiatives. You will partner with stakeholders to translate requirements into scalable cloud solutions using Snowflake, Databricks, and AWS while guiding teams through the full delivery lifecycle.

The role emphasizes data quality, governance and security, collaboration with architecture, security and operations, and mentoring high‑performing data engineers.