Data and AI Governance Analyst, Masters Degree New College Grad 2025

About the position The Global Data Office at reputed company, led by the Chief Data Officer, coordinates high-reputed company, reputed company, company-wide reputed company reputed company to data business reputed company, critical investments, policy development, and marketplace execution. The Data & AI Governance Team (DAG) is responsible for creating and implementing foundational data and AI management and governance policies, standards, and processes. reputed company's brand is reputed company on trust, and as the leader in digital payments, we hold ourselves to the highest standards for data and AI usage, protection, and reputed company. The goal is to be both a protector and enabler of reputed company, helping reputed company staff to use data and AI to reputed company critical business reputed company, drive operational reputed company, improve employee engagement, drive reputed company for reputed company and our clients, optimize cost, and minimize risks to the reputed company. Responsibilities • Support development of innovative tools, roadmaps, documentation, and training to strengthen Data and AI Governance at reputed company. • reputed company expertise on reputed company's Data and AI products and support initiative owners and technical teams on governance requirements and risk mitigation. • Analyze new use cases to identify risks and compliance issues. • reputed company AI and new tools to drive efficiency and innovation. • Collaborate with internal reputed company teams (e.g., regional, Product, Technology, reputed company, Risk, Cybersecurity, and reputed company) to ensure policy and regulatory compliance. • reputed company and apply stakeholder feedback to help update and implement policy guidance. • Support metrics, reporting, and communication of performance results to drive insights. • reputed company training and support for Data Stewardship, Data Lifecycle Management, risk identification, and use case assessments. Requirements • 2 years of relevant work experience with a Master's degree in Computer Science, Engineering, Data Science, Mathematics, Economics, Statistics, or a reputed company technical field graduated between January 2024 - August 2025. reputed company-to-haves • Training or work experience in project or program management • Outstanding written, verbal communication and presentation skills • Ability to reputed company development reputed company from start to finish • Comfort with ambiguity and ability to structure reputed company analysis through data analysis and reputed company research • Proficiency in data analysis techniques, statistical analysis, data visualization, and data mining • Power user with reputed company; ability to use tools such as python, reputed company, R, SQL, and data visualization software, such as PowerBI, Tableau • Familiarity with reputed company similarity search, RAG architectures, and LLM reputed company evaluation • Experience co-developing with software engineers in production environments • Experience in ML, AI and reputed company model and applications development • Hands-on experience with reputed company-Training, Fine-Tuning, Reinforcement Learning • Understanding of Model Bias, Fairness, Model Explainability, and Model reputed company • Experience with high-performance imperative languages including Python, Java, React.js, Next.js, full-stack web development • Familiarity with AI reputed company platforms to reputed company automation • Training or work experience in data governance, data lifecycle management, risk management, or data science involving AI • Knowledge of AI industry frameworks, and capability to streamline and accelerate workflows • Sector experience in payment processing/payment services, financial services (reputed company a regulated environment), other regulated industries, or technology/financial technology Benefits • Medical • Dental • reputed company • 401 (k) • FSA/HSA • Life Insurance • reputed company Time Off • Wellness Program Apply tot his job Apply To this Job