Senior Director, Business Analytics

Labcorp•Durham, NC

8d•Hybrid

About The Position

Labcorp is seeking a Senior Director, Business Analytics to lead business analytics for its Diagnostics organization. This strategic leader partners with business leaders to define and execute an analytics vision, strategy, roadmap, and operating model that support data-driven decision-making, operational performance, business growth, and customer value. The role translates business objectives and challenges into actionable analytics, reporting, visualization, and AI-enabled solutions, and oversees delivery from requirements discovery and solution design through development, deployment, adoption, and value realization. Working across business, data engineering, data science, BI, and enterprise technology teams, the Senior Director ensures analytics products, dashboards, reports, and decision-support capabilities are scalable, user-centric, and aligned with business processes and objectives. The position establishes governance, standards, and best practices for data quality, consistency, reliability, and compliance; advances analytics maturity and data literacy; and promotes self-service analytics and AI-driven capabilities. The Senior Director builds and leads a high-performing team of business analysts, analytics professionals, product owners, and BI practitioners. The role also oversees vendor and partner relationships, budgets, resource and investment planning, and the analytics portfolio, while measuring and communicating the business impact of analytics investments. The position is based in Durham, North Carolina, and is hybrid with a minimum of three days per week onsite. It is a full-time, exempt position on a first-shift schedule, with standard hours Monday through Friday, 8:00 a.m. to 5:00 p.m. Business needs may occasionally require flexibility, including earlier, later, or additional hours, with reasonable notice when possible.

Requirements

Bachelor’s degree in Business Analytics, Data Analytics, Information Systems, Computer Science, Statistics, Healthcare Administration, or a related field.
15 or more years of progressive experience leading business analytics, business intelligence, reporting, decision support, and data-driven transformation initiatives.
8 or more years of leadership experience building and managing analytics, business analysis, reporting, and product management teams.
8 or more years of experience partnering directly with business executives to define KPIs, performance measures, operational dashboards, and analytics strategies that drive business outcomes.
8 or more years of experience delivering analytics solutions, executive reporting, visualization platforms, self-service analytics capabilities, and decision-support tools in large, complex organizations.
8 or more years of experience translating business requirements into analytical solutions and driving adoption, value realization, and measurable business impact.
8 or more years of experience managing analytics portfolios, budgets, roadmaps, vendor relationships, and cross-functional business and technology initiatives.
Ability to define and execute analytics strategies, prioritize investments, and deliver measurable improvements in operational performance, customer experience, growth, and decision-making.
Strong expertise in KPI development, performance management, business intelligence, operational reporting, trend analysis, forecasting, and insight generation.
Ability to identify and apply AI, machine learning, generative AI, and intelligent automation opportunities to improve insight generation, analytics productivity, and business outcomes.
Strong cross-functional collaboration, communication, storytelling, and executive presentation skills, including the ability to turn complex analytical findings into clear recommendations and decisions.
Proven ability to build, coach, and develop high-performing analytics, BI, and business analysis teams.

Nice To Haves

Current or prior Labcorp experience.
Master’s degree in Business Analytics, Data Analytics, Information Systems, Computer Science, Statistics, Healthcare Administration, or a related field.
8 or more years leading analytics organizations in healthcare, diagnostics, life sciences, or other highly regulated industries.
8 or more years supporting Diagnostics, Healthcare, Life Sciences, Commercial Operations, Laboratory Operations, Customer Experience, or Operational Excellence functions.
8 or more years leading enterprise-wide business intelligence and self-service analytics transformation initiatives.
5 or more years implementing AI-enabled analytics, predictive insights, decision intelligence, and intelligent automation solutions.
8 or more years using modern visualization and analytics platforms, including Power BI, Tableau, Microsoft Fabric, and AI-enabled analytics capabilities.
Professional certifications in Analytics, Product Management, Agile Delivery, Business Analysis, or Data Visualization.

Responsibilities

Serve as the strategic analytics partner to Diagnostics business leaders, translating objectives, challenges, and opportunities into data-driven solutions and actionable insights.
Define and execute the Business Analytics strategy, roadmap, and operating model in support of Diagnostics business goals and enterprise priorities.
Lead end-to-end delivery of analytics, reporting, visualization, and AI-enabled solutions, from requirements through deployment, adoption, and value realization.
Partner with stakeholders to identify and prioritize analytical use cases, KPIs, reporting requirements, and decision-support capabilities.
Guide solution design and oversee development with data engineering, BI, data science, and enterprise technology teams.
Ensure analytics solutions are scalable, user-centric, and aligned with business processes, operational objectives, and strategic outcomes.
Provide thought leadership on analytics, visualization, AI, and data technologies.
Champion adoption of AI, machine learning, generative AI, and intelligent automation across analytics products and processes.
Establish analytics governance, standards, and best practices for data quality, consistency, reliability, and compliance.
Measure and communicate the business impact, adoption, and value realization of analytics and AI investments.
Collaborate with business and technology teams to align, integrate, and execute analytics initiatives; represent Diagnostics needs in enterprise data and analytics strategies.
Oversee the portfolio of analytics products, dashboards, reports, and decision-support solutions for Diagnostics.
Build, lead, coach, and develop a high-performing team of business analysts, analytics professionals, product owners, and BI practitioners.
Lead vendor selection, governance, and performance management to ensure high-quality delivery and value from external partners.
Manage budgets, resource planning, and capacity strategies for current and future analytics needs.
Drive organizational adoption of self-service analytics and data-driven decision-making.
Develop executive and stakeholder relationships and serve as a trusted advisor on business performance, analytics strategy, and data-driven transformation.
Lead continuous improvement initiatives that improve operational efficiency, insight generation, and business outcomes.