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SAS develops analytics software that helps organizations turn data into informed business decisions. Its platform brings together advanced analytics, business intelligence, data management, and predictive analytics for companies across a range of industries, supporting efforts to improve performance and identify new opportunities for innovation.
Product Manager, Data Acceleration (Hybrid)
Lead SAS data acceleration products across cloud, lakehouse, and AI analytics environments. Own strategy, interoperability, requirements, roadmaps, and cross-functional delivery.
Description
- Shape SAS platform strategy for high-performance data processing and model execution
- Guide technology direction for faster data access, transformation, and analytics across hybrid and cloud-native environments
- Manage SAS SpeedyStore and SAS Data Accelerator for model scoring, code execution, SAS Visual Analytics, and model training
- Develop integration strategies for open file formats, including Parquet and Iceberg
- Enable remote connectivity to AWS S3, Azure Data Lake Storage, and Google Cloud Storage
- Create the platform product vision in partnership with software engineering
- Write detailed requirements for a scalable and resilient product roadmap
- Define interoperability strategies spanning modern data platforms, lakehouse technologies, cloud storage, and open-table formats
- Set and manage product roadmaps, priorities, and OKRs
- Keep stakeholders informed about product risks, decisions, and roadmap progress
- Prioritize product requirements using customer, stakeholder, prospect, and market insights
- Lead discovery efforts and convert findings into product strategy
- Coordinate Engineering, Design, UX, Program Management, and related teams around customer and business outcomes
- Establish success metrics and lead post-launch performance analysis
- Build business cases and investment recommendations from customer, market, financial, and product-health data
- Contribute to pricing, positioning, marketing materials, launch and support readiness, and knowledge transfer
- Present the product to customers and prospects
- Make product lifecycle management decisions
- Monitor emerging technologies, business risks, and market opportunities
Requirements
- At least five years of product management or software engineering experience in data management, decision management, or AI and analytics
- Bachelor’s degree or higher, preferably in data science, computer science, or another quantitative field
- A comparable combination of relevant education, training, and experience may substitute for the stated qualifications
- Strong practical knowledge of modern data management
- Experience with cloud databases such as SingleStore, Snowflake, Google BigQuery, and Azure Synapse
- Experience working with Spark-based platforms, including Databricks
- Familiarity with open-source runtimes, packages, and libraries such as Python
- Understanding of SaaS or PaaS business models
- Familiarity with technologies from cloud platform providers
- Ability to explain complex technical and business concepts to varied audiences
- Excellent written and spoken communication skills
- Strong critical thinking and sound judgment in a fast-moving environment
- Ability to collaborate effectively across global teams and multiple business units
- Ability to develop innovative solutions and compelling user experiences
- Legal authorization to work in the United States or Scotland
- Must not require current or future employment visa sponsorship
Benefits
- Comprehensive medical, prescription, dental, and vision coverage
- PPO plan with a low annual deductible and copays
- High-deductible health plan paired with an employer-contributed health savings account
- Onsite Health Care Center at no cost to employees and eligible PPO-enrolled family members
- Prescription delivery through a pharmacy at no additional charge for employees outside the headquarters area
- Industry-leading 401(k) plan
- Tuition assistance
- Development programs and resources
- Generous vacation allowance
- Multiple paid holidays
- U.S. Winter Wellness Break from December 25 through January 1
- Paid volunteer time
- Parental leave
- Unlimited paid sick days
- Substantial childcare benefits for all full-time employees
- Flexible work options
- No travel required
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