Data Science Manager - AI

SAP; Bellevue (KY); On-site; USD 193,000 - 420,000; Full time

Job summary

SAP in Bellevue seeks a Data Science Manager to build and lead a new team focused on customer support AI and agentic solutions, collaborating with SAP support engineers worldwide and serving SAP customers across the product and support portfolio.

You will own the technical strategy, direct ML engineering, and balance breakthrough innovation with value while ensuring security and enterprise readiness. You will report to senior leadership and partner with Customer Support.

Qualifications

• 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.
• Fluent in English.

Responsibilities

• 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.

Skills

Enterprise AI

Data science

ML engineering management

Cloud technologies

AI pipelines

Agile methodologies

Stakeholder management

Security & compliance

Leadership

English fluency

Tools

Cloud platforms

ML tooling

Job description

We help the world run better 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.

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.

Bring out your best

SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.

We win with inclusion

SAP's culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: [e-mail].

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.

Compensation Range Transparency: SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step towards 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 193400-420200USD. 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.

Employment Type: Regular Full Time

Expected Travel: 0 - 10%

Additional Locations: #LI-Hybrid