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Senior Director of AI/ML, SAP Procurement, Spend Management
Ryan Skorupski is a results-oriented technology leader and data scientist with a strong record in: - building data science and machine learning teams - up skilling, coaching, and mentoring team members - defining and nurturing a data-driven culture - solving novel and complicated problems (experience with start-ups and large organizations) - collaborating with many stakeholders - developing and designing ML solutions and pipelines - creating, improving, and hardening team processes He is currently the ML & DS Manager of the SAP Intelligent Spend Management Solution Area within SAP's Intelligent Spend and Business Network (ISBN). As the ML & DS manager of this Solution Area, Ryan is responsible for the success of the AI, ML, and data science features used within the ISM Unified Analytics Portfolio that span across the ISBN including Concur, Ariba, Fieldglass, and S/4 Product data sets. He is also active in helping define the ML/AI/DS culture at SAP - at the organization level - as a member of the Cross-Product Architecture AI working group. Prior to joining SAP’s ISM team, Ryan was one of the first ten employees and the first ML scientist at Integris Software (which was acquired by One Trust). He defined the data culture, developed the ML features, and led and grew the ML/DS team.
University of Washington
Doctor of Philosophy (PhD), not completed, Finance
January 1, 2014 – January 1, 2016
Stanford University
Master of Science (MS), MS&E: Operations Research
January 1, 2012 – January 1, 2014
Seton Hall University
Bachelor’s of Science in Business Administration, Finance, Mathematics, Economics
January 1, 2007 – January 1, 2010
SAP
Senior Director of AI/ML
March 1, 2022 – Present
Bellevue, WA
SAP
Senior Data Scientist
June 1, 2019 – March 1, 2022
Bellevue, WA
Integris Software (acquired by OneTrust)
Machine Learning Scientist
December 1, 2016 – June 1, 2019
Greater Seattle Area
Turi (acquired by Apple)
Data Science Intern
January 1, 2016 – August 1, 2016
Greater Seattle Area
University of Washington, Michael G. Foster School of Business
Graduate Research Assistant
June 1, 2014 – December 1, 2016
Greater Seattle Area
Stanford University
Research Assistant
April 1, 2013 – June 1, 2014
Stanford, CA
Kaplan
Kaplan Teacher
January 1, 2011 – March 1, 2014
Greater Philadelphia Area
Freelance
NSCA-CPT
July 1, 2010 – August 1, 2012
Sony Corporation of America
Pension and Investment Intern
June 1, 2009 – August 1, 2009
TransLoad America Inc
Finance and Business Development Intern
September 1, 2008 – January 1, 2009
Kline Construction
Finance Intern
May 1, 2007 – August 1, 2007
Agora
June 1, 2016 – Present
-An app and site that delivers a new way to interact with politics
Ericsson: Networked Society Cities Case Competition
September 1, 2013 – November 1, 2013
- Examined how we can make the cities of tomorrow more efficient and sustainable through creative applications of information and communications technology (ICT) - Presented actionable plans to improve the future of healthcare supply chains through ICT to Ericsson’s management
Global Project Coordination
January 1, 2013 – March 1, 2013
- Consulted for Saleforce.com (CRM segment), delivering quick wins and strategic recommendations to increase revenue and reclaim lost market share in SMB space - Collaborated with team members in Hong Kong to achieve targeted solutions for Salesforce.com global recruiting efforts
Stanford Predicts
September 1, 2012 – November 1, 2012
- Engineered a probability model to predict presidential winner, and the model’s prediction was 98% accurate - http://www.stanford.edu/group/predict/cgi-bin/wordpress/
The National Johnson & Johnson Case Competition
January 1, 2009 – May 1, 2009
- Proposed a cost/benefit analysis to J&J’s management - Led team efforts to design a marketing strategy and financial model for launching an analgesic product in a foreign market - Advanced to national finals at the J&J corporate headquarters
AI For Business Leaders Executive Program
Udacity
June 24, 2026 – Present
Natural Language Processing with Attention Models
DeepLearning.AI
June 24, 2026 – Present
Natural Language Processing with Sequence Models
DeepLearning.AI
June 24, 2026 – Present
Natural Language Processing Specialization
DeepLearning.AI
June 24, 2026 – Present
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
Sequence Models
Coursera
June 24, 2026 – Present
Deep Learning Specialization
Coursera
June 24, 2026 – Present
Deep Reinforcement Learning Nanodegree
Udacity
June 24, 2026 – Present
Natural Languange Processing Nanodegree
Udacity
June 24, 2026 – Present
Machine Learning Engineer Nanodegree
Udacity
June 24, 2026 – Present
Self-Driving Car Engineer Nanodegree
Udacity
June 24, 2026 – Present
Artificial Intelligence Nanodegree
Udacity
June 24, 2026 – Present
NSCA-CPT
National Strength and Conditioning Association (NSCA)
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background shows a strong inclination towards research, innovation, and complex problem-solving, evidenced by multiple case competitions, research assistant roles, and advanced degrees. The progression from Data Scientist to Senior Director of AI/ML at SAP, along with roles at Turi (acquired by Apple) and Integris Software (acquired by OneTrust), suggests a drive for impact and working in dynamic, high-growth environments. The breadth of certifications in AI/ML and NLP indicates a commitment to continuous learning and staying current with industry trends. However, the target role of 'Data Analyst' might be a step down from their current Senior Director of AI/ML role, potentially indicating a mismatch in career trajectory or expectations, which could affect long-term cultural fit if not addressed.
Soft Skills & Operational Fit
The candidate's project descriptions highlight leadership (led team efforts), collaboration (collaborated with team members), and problem-solving (designed marketing strategy, engineered probability model, developed program for NLP analysis). Experience as a Kaplan Teacher also suggests strong communication and coaching abilities. The diverse project and work history indicates adaptability and a proactive approach to learning and applying new skills.