SAS
SAS
SAS ऐसे विश्लेषणात्मक सॉफ़्टवेयर विकसित करता है, जो संगठनों को डेटा के आधार पर सूचित कारोबारी निर्णय लेने में मदद करता है। इसका प्लेटफ़ॉर्म उन्नत विश्लेषण, बिज़नेस इंटेलिजेंस, डेटा प्रबंधन और पूर्वानुमानात्मक विश्लेषण को एक साथ लाता है। यह विभिन्न उद्योगों की कंपनियों को प्रदर्शन बेहतर बनाने और नवाचार के नए अवसरों की पहचान करने में सहायता करता है।

Product Manager, Data Acceleration — SAS | Cary, NC (Hybrid)

Lead product strategy for SAS data acceleration technologies, including SpeedyStore and Data Accelerator. Guide cloud, lakehouse, and open-format interoperability for high-performance analytics across hybrid environments.

विवरण

  • Set product strategy for SAS capabilities supporting high-performance data processing and model execution
  • Guide technology direction for faster data access, transformation, and analytics execution across hybrid and cloud-native environments
  • Manage the SAS SpeedyStore and SAS Data Accelerator products
  • Set integration strategy for open file formats, including Parquet and Iceberg
  • Support remote connectivity to AWS S3, Azure Data Lake Storage, and Google Cloud Storage
  • Partner with software engineering to define the platform product vision
  • Write detailed requirements for a scalable and durable product roadmap
  • Direct interoperability strategy across modern data platforms, lakehouse technologies, cloud storage, and open-table formats
  • Maintain product roadmaps, priorities, and OKRs
  • Keep stakeholders informed about product risks, decisions, and roadmap changes
  • Prioritize product requirements using input from customers, stakeholders, prospects, and market research
  • 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, collateral, launch preparation, support readiness, and knowledge transfer
  • Represent the product with customers and prospects
  • Make product lifecycle management decisions
  • Monitor emerging technologies, business risks, and market opportunities

आवश्यकताएँ

  • 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, ideally in data science, computer science, or another quantitative field
  • A comparable combination of relevant education, training, and experience may substitute for these qualifications
  • Practical knowledge of modern data management
  • Experience with cloud databases such as SingleStore, Snowflake, Google BigQuery, and Azure Synapse
  • Familiarity with Spark-based platforms such as Databricks
  • Experience with one or more open-source runtimes, packages, or libraries, including Python
  • Understanding of SaaS and/or PaaS business models
  • Familiarity with cloud provider technologies
  • Ability to explain complex technical and business concepts to varied audiences
  • Excellent written and verbal communication skills
  • Strong critical thinking and sound judgment
  • Ability to collaborate globally across multiple business units
  • Ability to develop innovative solutions and compelling user experiences
  • Legal authorization to work in the United States or Scotland
  • Must not need current or future employment visa sponsorship

लाभ

  • Broad medical, prescription, dental, and vision coverage
  • PPO medical coverage 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 for employees and PPO-enrolled family members
  • No-cost prescription shipping for employees who live away from headquarters
  • Industry-leading 401(k) plan
  • Tuition assistance
  • Development programs and resources
  • Generous vacation allowance
  • Paid holidays
  • U.S. Winter Wellness Break from December 25 through January 1
  • Volunteer time off
  • Parental leave
  • Unlimited paid sick days
  • Childcare benefits for all full-time employees

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