SAP

Data Science Manager - AI

SAP$193K — $420K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in enterprise AI & data science.
  • 3+ years managing ML engineering teams.
  • Proven track record in delivering enterprise-grade AI solutions.
  • Strong grasp of modern software architecture and cloud technologies.
  • Experience with agile development methodologies.
  • Excellent stakeholder management and communication skills.
  • Knowledge of security and compliance for enterprise software.

Responsibilities

  • Build and lead a team of software and ML engineers.
  • Own the technical strategy for intelligent support solutions.
  • Drive development of AI solutions balancing innovation with practical value.
  • Ensure solutions adhere to enterprise security and availability standards.
  • Collaborate with Customer Support to address operational needs.
  • Manage relationships with stakeholders across the support organization.
  • Establish ML engineering best practices and code quality standards.

Benefits

  • Comprehensive health and wellness programs.
  • 401(k) plan with company matching.
  • Generous paid time off and flexible work arrangements.
  • Professional development opportunities and educational reimbursement.
  • Employee assistance programs for personal support.
Full Job Description
As a Data Science Manager in Bellevue, you will build a new team dedicated to building and maintaining customer support related AI and agentic solutions that collaborate with thousands of SAP support engineers worldwide and that interact with all of SAP's customers as part of SAP's mission critical and daily customer support offerings in preventive, reactive and value-adding scenarios across SAP's product and support portfolio. Your team will be part of the AI & Support Engineering organization with a decade of experience delivering enterprise AI at scale. In your role, you will: • Build and lead a team of software, data, security, ML, and MLOps engineers. • Own the technical strategy and roadmap for intelligent support solutions delivered in your team. • Drive development of agentic and AI solutions balancing break-through innovation with value. • Ensure solutions meet enterprise security, compliance, and availability standards. • Collaborate with Customer Support leadership to understand and address operational needs. • Manage stakeholder relationships across the support organization. • Establish ML engineering best practices, code quality standards, and development processes. • Report on progress and priorities to senior leadership. What you bring • 5+ years of experience in enterprise AI & data science. • 3+ years of experience managing ML engineering teams. • Proven track record of delivering enterprise-grade AI solutions driven by data-insights. • Strong understanding of modern software architecture, cloud technologies, agents and AI pipelines. • Experience with agile development methodologies. • Excellent stakeholder management and communication skills. • Knowledge of security and compliance requirements for enterprise software. • Ability to balance technical depth with strategic thinking. • Outstanding leadership and team-building skills. • Knowledge of SAP support ecosystem is a plus. • Passion for building AI and agentic solutions that make others more productive. • Fluent in English. Meet your team We build intelligent solutions for the customer support ecosystem from data to production. Our experienced engineers and data experts are known for their innovation culture. We use AI to help customers faster, smarter and more preventive. Compensation Range Transparency: SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP's commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted annual combined range for this position is [redacted]00USD. The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance. Please reference this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits. AI Usage in the Recruitment Process For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process. Please note that any violation of these guidelines may result in disqualification from the hiring process. Requisition ID: 455588 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Management | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid Requisition ID: 455588 Posted Date: Sep 14, 2026 Work Area: Software-Design and Development Career Status: Management Employment Type: Regular Full Time Expected Travel: 0 - 10% Location:

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