
The best-run businesses run SAP.
Data Science Manager (f/m/d): ABAP Foundation Model
必須スキル
Machine Learning
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.
What you’ll do
We are searching for a agile, passionate and experienced leader (m/f/d) to head the ABAP Foundation Model team in Berlin, Germany. This dynamic team is at the forefront of SAP’s cloud transformation efforts, leveraging large language models to accelerate our customers’ data and code transformation. The team collaborates closely with established teams in US and India, various SAP stakeholders, and early adopter customers. You will play a key role in shaping our next big investment and coordinating with data science leads of ABAP Foundation Model teams globally.
Team Lead: Form and lead a diverse team of data scientists and data engineers.
Foundation Model Development: Oversee the development, fine-tuning, and delivery of foundation models to streamline SAP customers’ cloud transformation journeys.
Stakeholder Management: Ensure alignment of team objectives with the broader goals of the ABAP Foundation Model unit and coordinate with different stakeholders within SAP.
- What you bring
- Educational Background: Advanced degree in Computer Science, Data Science, Machine Learning, or a related field.
- Technical Proficiency: Strong expertise in data science, machine learning algorithms, and NLP.
- 10+ years of related professional experience with experience in shipping features and ML models to production.
- 2+ years experience in managing and leading data science teams.
- 1+ years of experience working with fine tuning LLM models.
- Good to have: Experience finetuning LLMs for Code Generation.
- Leadership: Demonstrated ability to inspire, mentor, and develop high-performing teams.
- Agile Mindset: Exceptional comfort with ambiguity and a bias toward iterative action, continuously informing strategy with empirical data and frequent feedback loops.
- Communication: Excellent verbal and written communication skills, capable of effectively interacting with stakeholders at various levels.
- Collaboration: Experience working with cross-functional teams and managing research collaborations.
Meet your team
The ABAP Foundation Model team is pioneering AI innovations within the SAP ABAP ecosystem. It is an integral part of the Generative AI foundation within Business AI at SAP. We focus on creating and refining our own Foundation Models using SAP Business Data, pushing the boundaries of what’s possible with AI in business applications. By joining our team, you’ll be an integral part of shaping the future of AI at SAP and driving significant advancements in the field.
#SAPBusinessAICareers #SAPAICareers
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: Careers@sap.com.
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.
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: 442140 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Management | Employment Type: Regular Full Time | Additional Locations:
閲覧数
0
応募クリック
0
Mock Apply
0
スクラップ
0
類似の求人

Director-Advanced Analytics
AT&T · Dallas, Texas

Quantitative Trading & Research - eTrading - Vice President
JPMorgan Chase · Singapore, SG

AI & GenAI Data Scientist - EUR- Director
PwC · New York, NY

Chief Data & Analytics Office Control Manager Vice President
JPMorgan Chase · Jersey City, NJ, United States, US

Applied Science Manager, Ads Measurement Science
Amazon · New York, NY, USA
SAPについて

SAP
PublicThe best-run businesses run SAP.
10,001+
従業員数
Walldorf
本社所在地
$157B
企業価値
レビュー
10件のレビュー
3.8
10件のレビュー
ワークライフバランス
3.2
報酬
3.5
企業文化
4.1
キャリア
3.4
経営陣
3.6
65%
知人への推奨率
良い点
Flexible hours and remote work options
Supportive management and team collaboration
Good benefits and training programs
改善点
Work-life balance challenges and overwhelming workload
Fast-paced environment with unrealistic deadlines
Limited career advancement opportunities
給与レンジ
2件のデータ
Intern
L3
L4
L5
Intern · Data Scientist
0件のレポート
$68,766
年収総額
基本給
-
ストック
-
ボーナス
-
$58,453
$79,079
面接レビュー
レビュー5件
難易度
4.0
/ 5
期間
14-28週間
体験
ポジティブ 0%
普通 40%
ネガティブ 60%
面接プロセス
1
Application Review
2
HR/Recruiter Screen
3
Phone/Technical Screen
4
Hiring Manager Interview
5
Onsite/Panel Interview
6
Technical Assessment
よくある質問
Technical Knowledge
Coding/Algorithm
Behavioral/STAR
Past Experience
SAP-Specific Technical Skills
最新情報
AI clause in new SAP API policy provokes lock-in concern - theregister.com
theregister.com
News
·
1w ago
Manufacturing & Transportation Industry Forum | Sponsored by: SAP - Databricks
Databricks
News
·
1w ago
SAP and America250 Partner to Power the Next Era of American Innovation - America250
America250
News
·
1w ago
SAP Stock Soars After Earnings. AI Hope Defies Software Slump. - Barron's
Barron's
News
·
1w ago