AI Scientist Senior Manager

Benefits

Parental leave

6 weeks Source: https://community.sap.com/t5/sap-for-healthcare-blog-posts/bg-p/healthcareblog-board. source Last checked May 7, 2026.

Non-birth-parent leave

6 weeks Source: https://community.sap.com/t5/sap-for-healthcare-blog-posts/bg-p/healthcareblog-board. source Last checked May 7, 2026.

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Source-linked checked May 7, 2026

Salary

$250K-$326K not verified - source not recorded; timestamp not recorded

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

157% above the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

AI Scientist Senior Manager Country USA | Internal Posting Location Bellevue Requisition ID: 452353 Work Area Software-Development Operations Expected Travel 0% Career Status Professional Employment Type Regular Full Time Original Posting Date: 4/20/2026 Job Title: AI Scientist Senior Manager Location: Bellevue, WA Work Model: Hybrid Work Model Purpose and Objective: SAP America, Inc. seeks an AI Scientist Senior Manager at our Bellevue, WA location to be responsible for development of new Machine Learning models and optimization of existing ML models. Expectations and Tasks: Manage an AI Science unit by continuously adapting the unit's focus and execution capabilities to customer/market needs, company strategy and financial objectives. Set direction by building a clear vision, strategy and business plan for the unit and contribute to overall strategy. Responsible for building a high-performance organization, and ensure direct reports do the same. Constantly push complex frontiers of what is possible in the area of machine learning working with real data. Responsible for a strategy of the implementation of the most recent machine learning algorithms and approaches for an important product/LoB. Responsible for translating research insights into adequate concepts for critical SAP's customers. Lead important project teams such as collecting requirements and coordinate the machine learning development. Report regularly to senior executive steering committees and/or external reviewers and advise them in terms of strategic Data Science topics. Education and

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