Principal Product Manager - AI Data

SAP • Palo Alto, CA

70d • $192,500 - $420,000 • Hybrid

About The Position

At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. BDC is a forward-thinking AI organization dedicated to innovation, engineering excellence and customer satisfaction. We are committed to delivering harmonized data (SAP and Non-SAP) and analytical insights in intelligent apps that deliver quantifiable business outcomes to our customers. BDC data products are core to our strategy and serve as the foundation for trusted, connected, and actionable enterprise data. We are looking for a hands-on Principal Product Manager - AI Data to leading the definition and delivery of key AI innovations in BDC portfolio.

Requirements

• 10+ years of experience in development and product management, with at least 4 years in topic leadership role, within a data-driven and technology-focused organization.
• Strong background in data engineering, including hands-on experience with ETL, data pipelines, databases, knowledge graphs, ontologies, object stores and analytics platforms.
• Knowledge of Apache Spark, data lake, delta lake, cloud data warehouse, Object store technologies, and experience in building APIs for data sharing using 'zero copy share' techniques such as Delta and Iceberg is highly desired.
• Proven track record of enabling AI/ML use cases through data foundations and platform features.
• Track record of leading and working in cross-functional product teams to achieve ambitious goals.
• Deep understanding of product management principles, methodologies, and best practices, with a focus on product-led growth.
• Ability to think strategically and translate business goals into actionable product outcomes.
• Excellent verbal and written communication skills, with the ability to influence and inspire teams and stakeholders at all levels.
• Bachelor's degree in a relevant field, especially Computer Science, Engineering, and Data Science. A Master's degree or MBA is a plus.

Responsibilities

• Define and deliver the roadmap for AI first capabilities in alignment with the Business Data Cloud and company objectives.
• Champion the role of the BDC Knowledge Graph as one of the core components for data product and master data management.
• Work with partners where possible to enhance overall BDC capabilities.
• Define and deliver persona centric solutions that leverage SAP AI, SAP Databricks and other partner capabilities.
• Champion the harmonized product operating model (HPOM) and product-led growth approach, ensuring that product decisions are driven by data and customer insights.
• Shape BDC's AI strategy by ensuring the Knowledge Graph supports scalable ML/AI foundations and intelligent workflows.
• Own end to end product lifecycle for AI enabled features including strong background of data preparation for ML, AI platforms and foundational models and data centric tooling.
• Stay ahead of market trends in AI, knowledge graphs, and enterprise data to inform strategy and competitive positioning.
• Leverage your strong background in data engineering to guide the development of AI capabilities.
• Utilize data analytics and metrics to inform product decisions, track performance, and optimize customer outcomes.
• Lead and mentor empowered product teams, fostering a culture of ownership, accountability, and continuous improvement.
• Drive innovation and experimentation across PM, UX, and development teams to explore new opportunities and solve complex problems.
• Build strong relationships with key stakeholders, including BDC and SAP leadership, SAP AI, SAP LOBs, customers, and key strategic partners (such as SAP Databricks), to ensure alignment and support for product initiatives.
• Communicate product vision, strategy, and progress to stakeholders, providing transparency and managing expectations.
• Act as a spokesperson for the product, representing the company at industry events, conferences, and customer meetings, as required.
• Stay current with industry trends, emerging technologies, and best practices in product management and data engineering.
• Implement and refine processes that enhance the efficiency, quality, and impact of the product development lifecycle.
• Foster a learning-oriented environment, encouraging teams to share knowledge and continuously upgrade their skills.

Benefits

• Opportunity to work on a brand new, high growth, highly strategic business for the company and be part of an experienced, talented and motivated team.
• A collaborative and innovative work environment that values creativity and continuous learning in an highly dynamic and 'start up' culture.
• Leadership opportunities with the chance to make a significant impact on the company's growth and success.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Industry: Professional, Scientific, and Technical Services
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees