S

SAS

Analytics, BI, and data management software

Vice President, Data, Analytics and AI

Data & AnalyticsConfirmed live in the last 24 hours
Full-timeCary, NC, USANo salary listed

About the Job

Requirements

  • A bachelor's or master's degree in computer science, data science, business analytics, or a related field is required; an equivalent combination of related education, training, and experience may be considered.
  • At least 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 artificial intelligence 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 the ability to translate data, analytics, and artificial intelligence capabilities into business impact.
  • Experience building and leading global, high-performing teams and balancing long-term strategy with hands-on execution.
  • Ability to create a clear, business-aligned vision and roadmap for enterprise data, analytics, and artificial intelligence capabilities.
  • Ability to build alignment, establish accountability, and guide complex organizations through transformation and adoption.
  • Ability to communicate clearly, navigate tradeoffs, and gain commitment from senior stakeholders across the enterprise.
  • Experience serving as the senior-most data, analytics, or artificial intelligence 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 artificial intelligence platforms and responsible artificial intelligence 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.

Responsibilities

  • Define and execute the enterprise data, analytics, and artificial intelligence 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 artificial intelligence 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.

About the Company

SAS

Analytics, BI, and data management software

SAS provides analytics, business intelligence, and data management software and services to organizations across government, business, and academia. Its products cover data mining, statistical analysis, forecasting, and optimization, and are sold as software licenses, with accompanying training, consulting, and support services. The platform typically helps users analyze large data sets and turn insights into decisions through a full analytics lifecycle—from data preparation to modeling and deployment. SAS differentiates itself through its long history (founded in 1976) and a broad, enterprise-grade suite with extensive services and a global presence that serve many of the world’s largest organizations. Its goal is to help customers become data-driven by turning data into actionable insights that improve decision making and outcomes.

Company size
10,001+
Company stage
Grant
Total funding
$1M
Headquarters
Cary, NC
Founded
1976

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