Bachelor's or Master's degree in computer science, data science, business analytics, or related field.
Minimum 10 years of progressive leadership experience in data and analytics.
Demonstrated success in leading enterprise-scale data, analytics, or AI transformation.
Experience in establishing data governance and improving data quality.
Executive-level communication and influencing skills.
Experience building and leading global, high-performing teams.
Responsibilities
Define and execute the enterprise data, analytics, and AI strategy and roadmap.
Build the Data, Analytics, and AI organization, including its charter and operating model.
Maximize the value of enterprise data and AI platforms.
Establish transparent governance and investment processes.
Partner with C-suite and business executives to identify high-value opportunities.
Build and lead high-performing global teams across various functions.
Communicate strategy and outcomes clearly at all organizational levels.
Benefits
Comprehensive medical, prescription, dental, and vision plans.
Onsite Health Care Center free for employees and family members enrolled in the PPO plan.
Industry-leading 401k plan.
Tuition Assistance Program and development resources.
Generous time away including vacation, paid holidays, and a U.S. Winter Wellness Break.
Volunteer Time Off, parental leave, and unlimited paid sick days.
Generous childcare benefits for all full-time employees.
Full Job Description
Job Description
Vice President, Data, Analytics and AI- Hybrid | Cary, North Carolina
About the job
The Data, Analytics and AI organization is looking for a Vice President, Data, Analytics and AI to turn enterprise data into trusted intelligence, scalable AI and measurable business value. This executive will define the function's charter and structure, establish a modern enterprise strategy and lead a global team across data, analytics, AI platforms, governance, architecture, engineering and adoption.
This is a high-impact opportunity for a business-minded technology leader who can bring clarity to a complex data landscape, align senior leaders around shared priorities and standards, and move the company from fragmented data and isolated use cases toward trusted, reusable enterprise capabilities.
As a Vice President, Data, Analytics and AI, you will:
Define and execute the enterprise data, analytics and AI strategy and multi-year roadmap, aligned with corporate priorities and measurable business outcomes.
Build the Data, Analytics and AI organization, including its charter, operating model, organizational structure, leadership team, capabilities and ways of working.
Maximize the value of enterprise data, analytics and AI platforms by improving trust, usability, adoption, scalability and value realization.
Establish transparent governance and investment processes that clarify ownership, priorities, standards, decision rights and accountability.
Partner with the C-suite, technology leaders and business executives to identify high-value opportunities and translate strategy into scalable enterprise capabilities.
Build, develop and lead high-performing global teams across engineering, architecture, governance, data science, analytics and operations.
Communicate strategy, tradeoffs, risks, dependencies and outcomes clearly at every level of the organization.
Embrace curiosity, passion, authenticity and accountability. These are our values and influence everything we do.
Required qualifications
Bachelor's or Master's degree in computer science, data science, business analytics or related field.
Minimum 10 years of progressive leadership experience in data and analytics, including ownership and delivery of enterprise data strategy.
Demonstrated success leading enterprise-scale data, analytics or AI transformation, including strategy development and operating-model evolution.
Experience establishing data governance, improving data quality and driving adoption of trusted data across the business.
Executive-level communication and influencing skills, with demonstrated ability to translate data, analytics and AI capabilities into business impact.
Experience building and leading global, high-performing teams and balancing long-term strategy with hands-on execution.
Equivalent combination of related education, training and experience may be considered in place of the above qualifications.
Additional competencies, knowledge and skills
Enterprise Strategy: Creates a clear, business-aligned vision and roadmap for enterprise data, analytics and AI capabilities.
Leading Change: Builds alignment, establishes accountability and guides complex organizations through transformation and adoption.
Executive Influence: Communicates with clarity, navigates tradeoffs and gains commitment from senior stakeholders across the enterprise.
Experience serving as the senior-most data, analytics or AI leader within a large or complex organization.
Experience modernizing multi-platform data environments and simplifying legacy data ecosystems.
Deep expertise in enterprise data architecture, platforms, governance and advanced data-management practices.
Hands-on leadership of AI platforms and responsible AI practices in a large, complex organization.
Experience leading globally distributed teams of 40 or more professionals and building councils or federated stewardship models.
Experience developing strategies across structured and unstructured data.
World-class benefits
Highlights include...
Comprehensive medical, prescription, dental and vision plans.
Medical plan options include:
PPO with low annual deductible and copays.
HDHP combined with a health savings account with a contribution from SAS (no access to on-site health care center).
Onsite Health Care Center (HQ) that's free to employees and family members enrolled in the PPO plan. There's a pharmacy too! Not local to HQ? The pharmacy will ship prescriptions for no additional charge!
An industry-leading 401k plan.
Tuition Assistance Program and programs and resources to support your development
Generous time away including vacation time, a variety of paid holidays, and our much-loved U.S. Winter Wellness Break between December 25 and January 1.
Volunteer Time Off, parental leave and unlimited paid sick days.
Generous childcare benefits for all full-time employees.
