Senior Manager, Corporate Analytics & Decision Support

SAS • Cary, NC

3d • Hybrid

About The Position

SAS is seeking a Senior Manager to lead its Corporate Analytics & Decision Support (CADS) function within Corporate Operations & Planning (CO&P). CADS provides analytics, metrics, and insights that help leaders prioritize investments, measure performance, evaluate opportunities, and focus resources on high-value work. The role is accountable for aligning CADS resources, capabilities, and investments with enterprise priorities and important business decisions.

The Senior Manager will mature how CADS scopes, prioritizes, governs, and delivers analytics, data science, AI, and decision-support work. The role partners with executive leadership, Strategic Planning, Strategic Initiatives, and business stakeholders to turn complex challenges into actionable insights and decision frameworks, support strategic and operating rhythms, and connect analytics capabilities to measurable business outcomes. It also leads the team, manages a portfolio of analytics initiatives, and develops scalable, trusted decision-support capabilities.

Requirements

• Bachelor’s degree in Analytics, Data Science, Statistics, Computer Science, Mathematics, Operations Research, Economics, Engineering, Information Systems, Business, or a related field.
• At least 12 years of progressive experience in analytics, data science, data engineering, operations research, business intelligence, decision support, strategy, operations, consulting, or a related discipline.
• At least 5 years of leadership experience managing technical, analytical, or business intelligence professionals.
• Demonstrated experience leading and maturing an analytics, data science, business intelligence, decision-support, or similar enterprise capability, including operating practices, governance, and service delivery expectations.
• Experience partnering with senior executives and business leaders on strategic planning, investment decisions, and organizational priorities.
• Experience managing cross-functional demand, prioritization, and tradeoffs across multiple stakeholders, initiatives, and business functions.
• An equivalent combination of related education, training, and experience may be considered.
• Competencies in creating a culture of trust, strategic planning, and leading change.

Nice To Haves

• Advanced degree (Master’s or Ph.D.) in Business Administration (MBA), Analytics, Data Science, Computer Science, Operations Research, Statistics, Economics, Engineering, or a related field.
• Experience supporting enterprise strategic planning, portfolio management, corporate development, or transformation efforts with direct executive stakeholder visibility.
• Experience developing enterprise KPI frameworks, metrics governance programs, executive reporting capabilities, or reusable decision-support assets.
• Experience leading teams of data scientists, advanced analysts, business analysts, or other highly specialized technical professionals.
• Experience implementing analytics automation, AI-enabled workflows, or decision-support modernization initiatives.
• Experience working in a highly matrixed environment with broad cross-functional influence and executive stakeholder engagement.

Responsibilities

• Lead the CADS function, establishing its strategic direction, priorities, operating practices, and long-term capability development in alignment with business and corporate objectives.
• Partner with executive leaders to translate complex business challenges into analytical solutions, actionable insights, and decision frameworks for critical enterprise decisions.
• Advise senior stakeholders by evaluating opportunities, risks, tradeoffs, and performance impacts.
• Support executive operating rhythms, strategic planning, corporate development, and enterprise initiatives with timely, decision-ready analytics and recommendations.
• Develop and deliver scalable, high-impact decision-support products and analytical solutions.
• Establish and maintain governance standards for metrics, reporting, documentation, validation, and decision-support processes.
• Improve CADS operating practices, including demand intake, prioritization, capacity planning, stakeholder engagement, service delivery, and performance measurement.
• Advance analytics and decision-support capabilities through data science, automation, AI-enabled solutions, and reusable enterprise assets.
• Manage a portfolio of analytics initiatives, balancing priorities, resources, risks, dependencies, and capacity, and providing visibility into tradeoffs and business impact.
• Lead, coach, and develop a high-performing analytics team, fostering accountability, innovation, collaboration, continuous learning, and business acumen.

Benefits

• Comprehensive medical, prescription, dental, and vision plans.
• PPO medical plan option with a low annual deductible and copays.
• HDHP medical plan option combined with a health savings account and an employer contribution.
• Free onsite health care center for employees and eligible family members enrolled in the PPO plan; prescription pharmacy shipping at no additional charge.
• Industry-leading 401(k) plan.
• Tuition Assistance Program and programs and resources to support employee development.
• Vacation time and paid holidays, including a U.S. Winter Wellness Break between December 25 and January 1.
• Volunteer Time Off, parental leave, and unlimited paid sick days.
• Childcare benefits for full-time employees.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior