Sr Product Manager

Sas; Cary (NC); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical benefits

401k plan

Tuition assistance

Paid holidays

Volunteer time off

Job summary

SAS in Cary, NC seeks a Senior Product Manager focused on Optimization and Network Analytics to drive market-leading algorithmic strategies across the SAS platform. You will shape direction for mathematical optimization, operations research, graph optimization, and entity resolution within Data & AI Studio, Model Studio, and Visual Investigator.

You will collaborate across product teams to deliver embeddable analytics with intuitive user experiences and measurable business value for our

Qualifications

• Master's degree or higher in a quantitative field such as operations research, optimization, math, computer science.
• 6+ years in direct product management or software development related to analytics.
• Strong understanding of optimization and network analytics applications and techniques.

Responsibilities

• Define and prioritize product requirements based on drivers, inputs, and market direction.
• Translate business requirements into technical, functional, and non-functional specs.
• Define user personas and write use cases for analytics products.
• Drive product development with engineering teams across lifecycles and risk management.

Skills

Operations research

Optimization

Network analytics

Product management

Stakeholder management

Data analytics

Communication skills

Education

Master's in quantitative field

Job description

Senior Product Manager (Optimization and Network Analytics)- Hybrid, Cary, North Carolina or Remote in the US

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

If you are passionate about the math that potentially saves lives, directs resources during natural disasters and identifies suspicious transactions indicative of fraud, then please join our team!

As a Senior Product Manager- Optimization and Network Analytics, youwill be responsible for drivingSAS' market-leading algorithmic product strategy across the SAS platform. In this high-profile role, you will be set product direction with respect to algorithms across the following disciplines: Mathematical optimization, operations research, graph optimization, network analytics, and entity resolution. These disciplines play a critical role in supporting business decisions using embeddable analytic components across major SAS industry solutions.

In addition, you will work across SAS application teams to bring these capabilities to life within products such as Data & AI Studio, Model Studio, and Visual Investigator. You will help ensure that powerful analytic technologies are delivered through intuitive user experiences and industry solutions that create measurable business value.

As a Senior Product Manager- Optimization and Network Analytics, youwill:

• Define and prioritize product requirements based onbusiness drivers,customer inputs, market direction,and field contribution.
• Translate business requirements into technical, functional, and non-functional requirements.
• Define user personas andwriteuse cases.
• Drive product development and collaborate with software development teams based on requirements management, risk management, risk mitigation,and product lifecycles.
• Partner and align with Product Commercialization Specialists to define market potential.
• Support product launches as primary content providerto facilitateknowledge transfer of product functionality to marketing and sales.
• Present product vision, roadmap, and software demonstrations to internal constituents, senior management stakeholders, customers, and analysts.
• Embrace curiosity, passion, authenticity and accountability. These are our values and influence everything we do.

Required qualifications

• Master's degree or higher, operations research, industrial engineering, optimization, math, computer science, or a related quantitative discipline.
• 6+ years’ experience in direct product management or software development related to analytics.
• Strong understanding of optimization and network analytics applications, including routing, scheduling, resource allocation, supply chain planning, and operational decision-making.
• Knowledge of optimization methodologies and solver technologies, including linear programming, mixed-integer programming, nonlinear optimization, metaheuristics, and optimization under uncertainty.
• Knowledge of network analytics and graph-based optimization techniques, including centrality, community detection, entity resolution, max flow, pattern matching, and vehicle routing.
• Working knowledge of analytics platforms, data pipelines, and large-scale operational data used to power optimization and decision-support workflows.
• Ability to define product requirements for APIs, embeddable analytics, and platform-based integration into enterprise applications and industry solutions.
• Understanding of simulation, scenario analysis, model lifecycle, and decisioning systems to help customers evaluate tradeoffs and improve business outcomes.
• Equivalent combination of related education, training and experience may be considered in place of the above qualifications.

Additional competencies, knowledge and skills

• Exceptionalwritten and verbal communication skills, with theability to engage in technical discussions with customers, partners, and industry analysts.
• Excellent critical thinking skills with demonstrated history of making good decisions in a fast-paced environment.
• Proven ability to work in a highly collaborative environment across multiple business units.
• Ability to innovate and define creative solutions with compelling user experiences that exceed customer expectations.
• A self-starter with bias toward action and the know-how to balance getting details right while still moving fast.

World-class benefits

Highlights include...

• Comprehensive medical, prescription, dental and vision plans.
• Medical plan options include:
  • PPO with low annual deductible and copays.
  • HDHP combined with a health savings account with a contribution from SAS (no access to on-site health care center).
• Onsite Health Care Center (HQ) that’s free to employees and family members enrolled in the PPO plan. There's a pharmacy too! Not local to HQ? The pharmacy will ship prescriptions for no additional charge!
• An industry-leading 401k plan.
• Tuition Assistance Program and programs and resources to support your development
• Generous time away including vacation time, a variety of paid holidays, and our much-loved U.S. Winter Wellness Break between December 25 and January 1.
• Volunteer Time Off, parental leave and unlimited paid sick days.
• Generous childcare benefits for all full-time employees.

You are welcome here.

At SAS, it's not about fitting into our culture - it's about adding to it. We believe our people make the difference. Our inclusive workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers.

Additional Information:

To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status. SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to any characteristic protected by law. Read more: Know Your Rights.

Resumes may be considered in the order they are received. SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, SAS may obtain nationality or citizenship information from applicants for employment. SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.

SAS only sends emails from verified "sas.com" email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact [e-mail].

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