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Senior Manager, Corporate Analytics & Decision Support

Job in Cary, Wake County, North Carolina, 27518, USA
Listing for: Sas
Full Time position
Listed on 2026-10-15
Job specializations:
  • IT/Tech
    Data Science Manager, Data Analyst
  • Management
    Data Science Manager
Salary/Wage Range or Industry Benchmark: 140000 - 180000 USD Yearly USD 140000.00 180000.00 YEAR
Job Description & How to Apply Below
Senior Manager, Corporate Analytics & Decision Support (CADS) - Hybrid, Cary, North Carolina

We're a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence - and questions into answers.

If you're looking for a dynamic, fulfilling career with flexibility and a world-class employee experience, you'll find it here. We're recognized around the world for our inclusive, meaningful culture and innovative technologies by organizations like Fast Company, Forbes,Newsweek and more.

About the job

SAS is seeking a Senior Manager, Corporate Analytics & Decision Support (CADS) to lead the CADS function and mature how the team scopes, prioritizes, governs, and delivers analytics, data science, AI, and decision-support work within the Corporate Operations & Planning (CO&P) organization. CO&P addresses four critical challenges for SAS: ensuring the right strategy, enabling better decisions, improving operational effectiveness, and strengthening competitive advantage.

CADS supports that mission by providing analytics, metrics, and insights leaders need to prioritize investments, measure performance, evaluate opportunities, and focus resources on the highest-value work for SAS.

This role addresses a structural operating need across CADS-owned decision-support delivery, contribution to enterprise metrics governance, practical AI- and data science-enabled analysis, and functional leadership. As the leader of CADS, the Senior Manager is accountable for aligning the team's analytics and data science resources, capabilities, and investments to enterprise priorities and the decisions that matter most. Success requires strong business judgment, organizational influence, technical fluency, and the ability to partner across Strategic Planning, Strategic Initiatives, executive leadership, and business stakeholders to connect CADS capabilities to measurable business outcomes.

As a Senior Manager, Corporate Analytics & Decision Support, you will:
  • Lead and oversee the CADS function, setting strategic direction, priorities, operating practices, and long-term capability development aligned with business and corporate objectives.
  • Partner with executive leaders to translate complex business challenges into analytical solutions, delivering actionable insights and decision frameworks that support critical enterprise decisions.
  • Serve as a trusted advisor to senior stakeholders by evaluating opportunities, risks, tradeoffs, and performance impacts to drive informed decision-making.
  • Support executive operating rhythms, strategic planning, corporate development, and enterprise initiatives through timely, decision-ready analytics and recommendations.
  • Enhance organizational decision-making by developing and delivering scalable, high-impact decision support products and analytical solutions.
  • Establish and maintain governance standards for metrics, reporting, documentation, validation, and decision-support processes to ensure consistency, transparency, and trust in business insights.
  • Lead and continuously improve the CADS operating model, including demand intake, prioritization, capacity planning, stakeholder engagement, service delivery, and performance measurement.
  • Define and advance the organization's analytics and decision-support capabilities through data science, automation, AI-enabled solutions, and reusable enterprise assets that drive business value.
  • Manage a portfolio of analytics initiatives by balancing priorities, resources, risks, dependencies, and capacity while providing leaders with clear visibility into tradeoffs and business impact.
  • Lead, coach, and develop a high-performing analytics team, fostering a culture of accountability, innovation, collaboration, continuous learning, and strong business acumen
  • Embrace curiosity, passion, authenticity and accountability. These are our values and influence everything we do.
Required qualifications
  • Bachelors degree in Analytics, Data Science, Statistics, Computer Science, Mathematics, Operations Research, Economics, Engineering, Information Systems, Business, or a related field.
  • Minimum 12 years progressive experience in analytics, data science, data engineering, operations research, business intelligence, decision support, strategy, operations, consulting, or a related discipline.
  • Minimum of 5 years of leadership experience managing technical, analytical, or business intelligence professionals.
  • Demonstrated experience leading and maturing an…
Position Requirements
10+ Years work experience
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