Manager, AI & Data Strategy - Technical Product Manager / Solution Engineer for Responsible AI (RAI)
Mastercard is hiring a Manager for their AI Governance team in Singapore to oversee responsible AI deployment. This role involves conducting risk assessments, validating controls for AI systems, and ensuring compliance with global regulatory frameworks. Candidates require advanced statistical knowledge and technical expertise in data analysis and modeling. The position focuses on rigorous governance to secure Mastercard's global network and drive innovation.
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Experience
8+ years
Function
Engineering
Work mode
Onsite, Singapore
Company
Tier 1
What you will work on
Mastercard is hiring a Manager for their AI Governance team in Singapore to oversee responsible AI deployment. This role involves conducting risk assessments, validating controls for AI systems, and ensuring compliance with global regulatory frameworks. Candidates require advanced statistical knowledge and technical expertise in data analysis and modeling. The position focuses on rigorous governance to secure Mastercard's global network and drive innovation.
TAL's take
Strong Tier-1 brand with a clear, highly technical role in AI governance at a major global payments firm.
Crisp definition of AI system review responsibilities, technical requirements, and governance focus.
Salaries at Mastercard
27.6 LPA average
Based on 95 Grapevine salary entries for Mastercard.
Engineering
0 - 2 years | L9
14 LPA average
Range: 10 - 22 LPA
Engineering
2 - 4 years | L8
22 LPA average
Range: 14 - 32 LPA
Engineering
4 - 6 years | L8
23 LPA average
Range: 12 - 38 LPA
Engineering
6 - 8 years | L6
24 LPA average
Range: 16 - 31 LPA
Must haves
- 8+ years experience in AI/model development, risk assessment, or data analytics
- Master's degree or higher in mathematics, data science, or engineering
- Advanced knowledge of mathematics, statistics, modeling, and MLOps
- Proficiency in SQL, data visualization, and Python or R
- Strong understanding of regulatory frameworks like NIST AI RMF and EU AI Act
Tools and skills
Nice to have: azure, aws, google cloud, shap, lime, deep learning, reinforcement learning, transformer models, java, scala, c++, ci/cd.
About the company
Global payment technology company and major financial infrastructure provider.
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