Product Manager- Data Acceleration

SAS is a leader in data and AI software and services that helps customers transform data into intelligence. The Product Manager for Data Acceleration will drive product strategy for high-performance data processing and model execution across hybrid and cloud-native environments, define roadmaps and requirements, and coordinate cross-functional teams to deliver customer and business outcomes.

Responsibilities:

• 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

Requirements:

• 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
• 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 (SingleStore, Snowflake, Google BigQuery, 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 a fast-paced environment
• Proven ability to work in a highly collaborative, global environment across multiple business units
• Ability to innovate and define creative solutions with compelling user experiences that exceed customer expectations
• legally authorized to work in the United States or Scotland
• should not require, now or in the future, sponsorship for employment visa status
• preferably in data science, computer science, or a related quantitative discipline