Product Manager- Data Acceleration

Product Manager
- Data Acceleration
- 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.

As a Product Manager for Data Acceleration, in collaboration with the wider product strategy team, you will be responsible for driving product strategy across the SAS platform for high-performance data processing and model execution. In this high-impact role, you will define and evolve the product direction for a portfolio of technologies that accelerate data access, transformation, and analytics execution across hybrid and cloud-native environments.

This includes ownership of SAS Speedy Store and SAS Data Accelerator, which enable high-speed model scoring, code acceleration, SAS Visual Analytics (VA) acceleration, and model training. You will also lead the strategy for integrating with open file formats such as Parquet and Iceberg, and enabling remote access to cloud storage platforms like AWS S3, Azure Data Lake Storage, and Google Cloud Storage.

You will work closely with software engineering teams to develop a platform product vision for this domain and craft detailed requirements to support the development of a robust and scalable product roadmap.

• Shape the strategic direction for interoperability with modern data platforms, lakehouse technologies, cloud storage services, and open-table formats to ensure SAS remains an integral component of customer data architectures, while aligning product plans with corporate strategy and business objectives.
• Define and maintain product roadmaps, priorities, and OKRs; communicate product risks, decisions, and roadmap updates to stakeholders.
• Lead product requirements definition and prioritization based on customer, stakeholder, prospect, and market input, and conduct discovery to translate findings into product strategy.
• Drive alignment across Engineering, Design, UX, Program Management, and related teams to deliver customer and business outcomes.
• Define success measures, own post-launch analysis, and develop business cases and product investment recommendations based on customer, market, financial, and product-health data.
• Help shape pricing, positioning, collateral, launch readiness, support readiness, and knowledge transfer, while representing the product externally with customers and prospects.
• Own product lifecycle management decisions and identify emerging technologies, business threats, and new market opportunities.
• Embrace curiosity, passion, authenticity and accountability. These are our values and influence everything we do.

• 5+ years of experience in product management and/or software engineering related to data management, decision management, or AI/analytics.
• Bachelor’s degree or higher, preferably in data science, computer science, or a related quantitative discipline.
• Equivalent combination of related education, training and experience may be considered in place of the above qualifications.
• Solid working knowledge of modern data management, cloud databases (Single Store, Snowflake, Google Big Query, Azure Synapse), and Spark-based environments like Databricks.
• Familiarity with one or more open-source runtimes, packages, and libraries (like Python).
• Understand concepts of Software-as-a-Service (SaaS) and/or Platform-as-a-Service (PaaS) business models.
• Familiarity with Cloud Platform provider technologies.
• Ability to translate complex technical and business information for diverse audiences.

• Exceptional written and verbal communication skills with the ability to engage in technical discussions with customers, partners, and industry analysts.
• Excellent critical-thinking skills with a demonstrated history of making sound decisions in…