S

SAS

Analytics, BI, and data management software

Vice President, Data, Analytics and AI

Full-TimeDeadline 10/5/27
No salary listed
Expert
Bachelor's, Master's
Cary, NC, USA
Hybrid
Data & Analytics
No H1B Sponsorship

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 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, including the 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.
  • 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.
Responsibilities
  • 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.
Desired Qualifications
  • Creates a clear, business-aligned vision and roadmap for enterprise data, analytics, and AI capabilities.
  • Builds alignment, establishes accountability, and guides complex organizations through transformation and adoption.
  • Communicates with clarity, navigates tradeoffs, and gains commitment from senior stakeholders across the enterprise.

About the company

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, North Carolina

Founded

1976

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Simplify Jobs

Simplify's Take

What believers are saying

  • SAS launched Viya Copilot and MCP Server in May 2026.
  • SAS and Microsoft expanded Decision Builder on Fabric on September 9, 2026.
  • SAS and Swiss Re shipped AI catastrophe-risk tooling for insurers in July 2026.

What critics are saying

  • SAS cut 300 jobs in June 2026, signaling pressure inside cloud and R&D priorities.
  • A September 15, 2026 judge kept SAS in extended-stay antitrust litigation.
  • Microsoft Fabric and hyperscalers compress SAS into a legacy layer within three years.

What makes SAS unique

  • SAS Viya keeps governance, auditability, and human oversight inside production analytics workflows.
  • SAS sells deeply embedded decisioning for banks, insurers, health systems, and governments.
  • Jim Goodnight still controls SAS privately, preserving long-term R&D and product continuity.

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Benefits

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Life Insurance
  • Disability Insurance
  • Health Savings Account/Flexible Spending Account
  • Unlimited Paid Time Off
  • Flexible Work Hours
  • Remote Work Options
  • Paid Vacation
  • Paid Sick Leave
  • Paid Holidays

Growth & Insights and Company News

Headcount

6 month growth

12%

1 year growth

17%

2 year growth

16%
PR Newswire
Oct 1st, 2026
SAS appoints Casey McGee as Chief Sales Officer to drive AI-era growth

SAS has appointed Casey McGee as Executive Vice President and Chief Sales Officer, effective immediately. McGee brings 25 years of enterprise sales experience from Google, Microsoft and Lytx. Most recently, McGee served as Managing Director, Global Partner Ecosystem and Applied AI at Google. He previously spent 22 years at Microsoft in sales, partner and global operations leadership roles, and served as Chief Revenue Officer at Lytx. At Microsoft, McGee held sales leadership positions spanning global ISVs, digital natives, venture capital, private equity and systems integrators. His experience included creating Microsoft's Digital Natives customer segment and leading business operations for the company's Global Sales and Marketing organisation. McGee succeeds Riad Gydien, who retired after 20 years with SAS.

PR Newswire
Jul 29th, 2026
SAS and Swiss Re partner to integrate AI-driven catastrophe risk intelligence into insurance underwriting and pricing

SAS, a global leader in data and AI, has partnered with reinsurance provider Swiss Re to help insurers strengthen resilience through AI-driven risk intelligence. As part of the collaboration, Swiss Re will combine its CatNet natural catastrophe risk intelligence with SAS Insurance Life Cycle Accelerator, enabling insurers to incorporate predictive hazard insights into underwriting, pricing and portfolio management workflows. The partnership addresses mounting pressure from climate-driven "secondary perils" such as floods, hailstorms and wildfires. According to Swiss Re Institute, 99.9% of insured catastrophe losses in the United States in 2025 originated from secondary peril events. The combined solution is expected to drive a 95% increase in decisioning efficiency and a 50% boost in modelling process efficiency, allowing underwriting teams to review 40% more risks with the same manpower.

Yahoo Finance
Jun 27th, 2026
SAS Institute cuts 300 jobs to align with cloud and R&D priorities

SAS Institute, a North Carolina-based analytics software provider, has cut 300 positions across the company. The layoffs, implemented last week, affect employees globally across SAS's 400-plus offices worldwide, with its main campus located in Cary. The company stated the cuts align resources with long-term strategic priorities whilst continuing investment in research and development, sales and cloud operations. Affected employees can apply for other open positions or access transition services. SAS currently has several hundred vacancies worldwide. The company emphasised its focus on aligning resources with customer needs and sustainable growth, but declined to speculate on further changes.

PR Newswire
Jun 24th, 2026
Nevada uses SAS AI to cut SNAP errors, finds $130K in overpayments in two months

Nevada's Division of Social Services has selected SAS to help reduce error rates in its Supplemental Nutrition Assistance Program using AI technology. The state will deploy SAS Payment Integrity for Food Assistance to avoid potential penalties under new federal requirements mandating SNAP error rates below 6%. In the first two months of implementation, caseworkers have already identified $130,000 in monthly overpayments. The solution uses AI and machine learning to analyse every active SNAP case, providing monthly risk scoring to help staff prioritise reviews based on error likelihood and dollar amounts at risk. Nevada faces a potential $52 million penalty if error rates exceed the federal threshold. Beginning in 2027, states exceeding the 6% error rate must pay between 5% and 15% of total SNAP benefits, with some penalties potentially reaching $1 billion annually.

PR Newswire
May 28th, 2026
Insurers battle $309B fraud crisis with AI tools to detect fake accident photos

Insurance fraud through AI-generated images is rapidly escalating, with fraudsters using artificial intelligence to create or alter photos depicting crash scenes, receipts and property damage. The threat costs US consumers an estimated $308.6 billion annually, with one in 10 property-casualty insurance losses including fraud. Only 7% of anti-fraud professionals say their organisations are prepared to detect AI-charged fraud, according to a survey by the Association of Certified Fraud Examiners and SAS. To combat this, SAS has developed a synthetic image detection solution combining computer vision, optical character recognition and large language model reasoning. The system provides automated content screening, multi-signal fraud detection and risk-based decisioning. It can identify subtle manipulations that escape human detection and extends beyond insurance to banking and government sectors.