Delivery Success Leader, Enterprise Systems

Labcorp•Durham, NC

About The Position

Labcorp is seeking a Delivery Success Leader to lead complex technology projects, programs, and enterprise initiatives from end to end. The role ensures delivery aligns with business objectives, scope, schedule, budget, quality, and expected outcomes. It establishes governance and delivery frameworks, manages roadmaps, resources, business cases, financial forecasts, and executive reporting, and applies Agile, Waterfall, or hybrid methods as appropriate. The position partners with business stakeholders, Product Owners, and cross-functional teams to define requirements, prioritize work, and deliver measurable outcomes. It leads stakeholder engagement, change management, user adoption, training, and transition to support; manages risks, dependencies, operational readiness, service performance, and vendor commitments; and provides executive communications and data-driven recommendations. The role also uses AI, automation, predictive analytics, and emerging technologies to improve planning, reporting, forecasting, delivery efficiency, and operational effectiveness while supporting enterprise governance, security, regulatory, and Responsible AI standards. This is a full-time, exempt salaried 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 earlier, later, or additional hours, with reasonable notice when possible.

Requirements

Bachelor’s degree.
At least 8 years of progressive experience leading IT project delivery, delivery management, Agile program management, or related disciplines, including successful delivery of digital transformation, data, automation, and AI-enabled initiatives.
Demonstrated success delivering end-to-end projects and programs and driving adoption, value realization, and measurable outcomes.
Experience managing projects with both Agile and traditional project management methodologies.
Expertise in delivery orchestration, cross-functional team leadership, stakeholder engagement, dependency management, risk mitigation, resource coordination, and execution across multiple workstreams.
Experience using AI-enabled tools and technologies to enhance planning, reporting, documentation, forecasting, collaboration, workflow automation, decision-making, and delivery performance.
Hands-on experience supporting or delivering AI-enabled solutions and understanding of AI lifecycle considerations.
Proficiency with delivery and project management platforms such as Jira, Confluence, Azure DevOps, or equivalent tools.
Strong analytical, problem-solving, communication, facilitation, and presentation skills for engaging technical and non-technical stakeholders at all organizational levels.
Ability to influence without direct authority, build consensus, and drive alignment across business, technology, vendor, and leadership teams.
Ability to manage multiple concurrent projects, priorities, and deadlines in dynamic, fast-paced, evolving environments.
Knowledge of laboratory operations, study design, and departmental equipment.
Strong attention to detail and organizational skills.
Strong analytical and systems-thinking capabilities.
Effective communication and stakeholder engagement skills.
Experience in scientific computing, instrument control, and lab automation.
Ability to work independently and collaboratively within project teams.
Commitment to quality, compliance, and continuous improvement.

Nice To Haves

At least 5 years of experience with Tableau and Alteryx.
SQL certification.
Tableau certification.
Six Sigma or Lean certification.

Responsibilities

Lead end-to-end delivery of complex technology projects, programs, and enterprise initiatives, ensuring alignment with business objectives, scope, schedule, budget, quality, and expected outcomes.
Establish and manage project governance, delivery frameworks, roadmaps, resource plans, business cases, financial forecasts, and executive reporting.
Drive project execution using Agile, Waterfall, or hybrid methodologies, supporting predictable delivery and continuous value realization.
Partner with business stakeholders, Product Owners, and cross-functional teams to define requirements, prioritize work, and deliver measurable business outcomes.
Facilitate Agile ceremonies, monitor delivery metrics, and improve team performance, productivity, and delivery maturity.
Manage project budgets, forecasts, cost control, variance analysis, and benefits realization.
Build relationships with business leaders, executives, vendors, and technology partners, serving as a trusted advisor and delivery leader.
Provide executive communications, dashboards, governance updates, and data-driven recommendations for decision-making and strategic planning.
Lead stakeholder engagement, organizational change management, user adoption, training, and transition-to-support activities.
Identify, assess, and mitigate risks, issues, dependencies, assumptions, and constraints.
Oversee service readiness, operational transition, service performance, SLA adherence, and continuous service improvement.
Use AI, automation, predictive analytics, and emerging technologies to improve project planning, delivery efficiency, reporting, forecasting, and operational effectiveness.
Manage vendor relationships, contracts, delivery commitments, and resource capacity, ensuring accountability across contributing teams.
Coordinate with business, architecture, application, data, infrastructure, security, quality assurance, operations, and external partner teams.
Promote accountability, innovation, collaboration, continuous learning, operational excellence, and compliance with enterprise governance, security, regulatory, and Responsible AI standards.
Deliver projects and programs from initiation through implementation while driving business adoption, value realization, and measurable outcomes.
Establish and report delivery success metrics, including schedule performance, adoption, business value, operational improvements, customer impact, and strategic outcomes.
Identify and implement automation opportunities that improve delivery efficiency, operational effectiveness, team productivity, and business outcomes.
Support or deliver AI-enabled solutions, accounting for data readiness, governance, model dependencies, integration complexity, change management, user adoption, and production deployment.
Work independently and collaboratively within project teams.
Mentor and manage technical teams and lead complex technical programs and scientific initiatives.