Senior Director, Business Analytics

Labcorp•Durham, NC

9d•Hybrid

About The Position

The Senior Director, Business Analytics is a strategic leadership role partnering with Diagnostics business leaders to define and execute the analytics vision, strategy, and roadmap for data-driven decision-making. The role translates business objectives, challenges, and opportunities into actionable analytics, reporting, visualization, and AI-enabled solutions that support operational performance, business growth, and customer value. The Senior Director leads end-to-end delivery of business analytics solutions, from requirements discovery and solution design through development, deployment, adoption, and value realization. Working with business, data engineering, data science, BI, and enterprise technology teams, the role ensures delivery of scalable analytics products, dashboards, and decision-support capabilities while establishing governance, standards, and best practices for data quality, consistency, and business alignment. The position provides thought leadership in advanced analytics, data visualization, artificial intelligence, generative AI, and intelligent automation to accelerate analytics maturity across Diagnostics. The role builds and leads a high-performing team of business analysts, analytics professionals, product owners, and BI practitioners, fostering innovation, accountability, and continuous improvement. It also oversees vendor and partner relationships, resource and investment planning, and adoption of self-service analytics and AI-driven capabilities. The Senior Director is accountable for maximizing the value of analytics investments, advancing organizational data literacy, and delivering measurable business outcomes. This is a full-time, exempt salaried position on a First Shift schedule, with standard business 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. The position is hybrid, with a minimum of three days per week on-site in Durham, North Carolina.

Requirements

Bachelor's degree in Business Analytics, Data Analytics, Information Systems, Computer Science, Statistics, Healthcare Administration, or a related field.
At least 15 years of progressive experience leading business analytics, business intelligence, reporting, decision support, and data-driven transformation initiatives.
At least 8 years of leadership experience building and managing high-performing analytics, business analysis, reporting, and product management teams.
At least 8 years of experience partnering directly with business executives to define KPIs, performance measures, operational dashboards, and analytics strategies that drive business outcomes.
At least 8 years of experience delivering analytics solutions, executive reporting, visualization platforms, self-service analytics capabilities, and decision-support tools in large and complex organizations.
At least 8 years of experience translating business requirements into analytical solutions and driving adoption, value realization, and measurable business impact.
At least 8 years of experience managing analytics portfolios, budgets, roadmaps, vendor relationships, and cross-functional business and technology initiatives.
Ability to define and execute business analytics strategies, prioritize investments, and deliver measurable outcomes that improve performance, customer experience, growth, and decision-making.
Ability to advise senior business leaders and translate strategic objectives into actionable analytics solutions, performance metrics, and decision-support capabilities.
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.
Ability to collaborate across business, product, data, technology, and operations teams to align priorities, manage expectations, and execute successfully.
Proven ability to build, lead, coach, and develop high-performing analytics, BI, and business analysis teams.
Excellent communication, storytelling, and executive presentation skills, including the ability to turn complex analytical findings into clear recommendations and business decisions.

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.
At least 8 years of experience leading analytics organizations in healthcare, diagnostics, life sciences, or other highly regulated industries.
At least 8 years of experience supporting Diagnostics, Healthcare, Life Sciences, Commercial Operations, Laboratory Operations, Customer Experience, or Operational Excellence functions.
At least 8 years of experience leading enterprise-wide business intelligence and self-service analytics transformation initiatives.
At least 5 years of experience implementing AI-enabled analytics, predictive insights, decision intelligence, and intelligent automation solutions.
At least 8 years of experience with 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 business objectives, challenges, and opportunities into data-driven solutions and actionable insights.
Define and execute the Business Analytics strategy, roadmap, and operating model to support Diagnostics business goals and enterprise priorities.
Lead end-to-end delivery of analytics, reporting, visualization, and AI-enabled solutions, from business requirements through deployment, adoption, and value realization.
Partner with business stakeholders to identify, prioritize, and define analytical use cases, KPIs, reporting requirements, and decision-support capabilities.
Drive solution design and oversee development activities 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 emerging analytics, visualization, AI, and data technologies to accelerate business value and innovation.
Champion adoption of AI, machine learning, generative AI, and intelligent automation across business analytics products and processes.
Establish analytics governance, standards, and best practices to ensure 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 drive alignment, integration, and execution of analytics initiatives.
Influence enterprise data and analytics strategies to represent Diagnostics business needs within broader organizational priorities.
Lead and oversee the portfolio of analytics products, dashboards, reports, and decision-support solutions supporting Diagnostics.
Build, lead, coach, and develop a high-performing team of business analysts, analytics professionals, product owners, and BI practitioners.
Foster a culture of innovation, accountability, continuous improvement, and customer-centric delivery.
Lead vendor selection, governance, and performance management to ensure high-quality delivery and value from external partners.
Manage budgets, resource planning, and capacity strategies to support current and future business analytics needs.
Drive organizational adoption of self-service analytics and data-driven decision-making across Diagnostics.
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 through advanced analytics and AI-enabled capabilities.