Senior Manager, Corporate Analytics & Decision Support

SAS•Cary HQ, NC

2d•Hybrid

About The Position

SAS is seeking a Senior Manager to lead the Corporate Analytics & Decision Support (CADS) function within the Corporate Operations & Planning organization. CADS provides analytics, metrics, and insights that help leaders prioritize investments, measure performance, evaluate opportunities, and direct resources toward high-value work. The role aligns analytics and data science resources, capabilities, and investments with enterprise priorities and important business decisions. The Senior Manager sets the function’s strategic direction and operating practices; partners with executive leaders and business stakeholders to turn complex challenges into analytical solutions and decision frameworks; and advises senior stakeholders on opportunities, risks, tradeoffs, and performance impacts. The role supports executive operating rhythms, strategic planning, corporate development, and enterprise initiatives with timely, decision-ready analysis. The position also advances scalable decision-support products and analytics capabilities, establishes standards for metrics and reporting governance, and continuously improves CADS demand intake, prioritization, capacity planning, stakeholder engagement, service delivery, and performance measurement. The Senior Manager manages an analytics initiative portfolio and leads, coaches, and develops a high-performing team. The position is hybrid in Cary, North Carolina.

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.
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 to support strategic planning, investment decisions, and organizational priorities.
Experience managing cross-functional demand, prioritization, and tradeoffs across multiple stakeholders, initiatives, and business functions.
Equivalent combinations of related education, training, and experience may be considered.
Legally authorized to work in the United States without requiring employment visa sponsorship now or in the future.

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 visibility to executive stakeholders.
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 operating in a highly matrixed environment with broad cross-functional influence and executive stakeholder engagement.

Responsibilities

Lead 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, insights, and decision frameworks for 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 analytics and recommendations.
Develop scalable, high-impact decision-support products and analytical solutions.
Establish governance standards for metrics, reporting, documentation, validation, and decision-support processes.
Improve the CADS operating model, 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 an analytics initiative portfolio, balancing priorities, resources, risks, dependencies, and capacity, and giving leaders visibility into tradeoffs and business impact.
Lead, coach, and develop a high-performing analytics team and foster accountability, innovation, collaboration, continuous learning, and business acumen.
Demonstrate curiosity, passion, authenticity, and accountability.

Benefits

Comprehensive medical, prescription, dental, and vision plans.
Medical plan options include a PPO with a low annual deductible and copays, or an HDHP paired with a health savings account and an employer contribution.
Free onsite health care center for employees and family members enrolled in the PPO plan; pharmacy services are available, with prescriptions shipped at no additional charge.
Industry-leading 401(k) plan.
Tuition Assistance Program and programs and resources to support development.
Generous vacation time and a variety of paid holidays, including a U.S. Winter Wellness Break between December 25 and January 1.
Volunteer Time Off.
Parental leave.
Unlimited paid sick days.
Generous childcare benefits for full-time employees.