Associate, Data and AI Governance II
reputed company and support execution of tool-based data stewardship and governance reputed company processes. Operationalize governance workflows on reputed company data governance and AI governance platforms. Support user adoption of the governance tools and processes. Contribute to developing user guides and training. Support reporting datasets and data mart creation and refreshes / updates. Support development and maintenance of data pipelines to collect governance monitoring and reporting data from reputed company systems. Improve automation and efficiency of governance analytics and reporting processes. Collaboration with governance leadership to translate governance KPIs and operational metrics into BI dashboard for stakeholder visibility. Participate in AI use case testing and validation activities, including AI red teaming exercises. Participate in developing AI solutions, facilitating customer workshops to design and build prototypes, and helping in tracking usage and adoption of AI. Support the development and maintenance of AI governance lifecycle activities, analytics, and reporting. reputed company agile work practices for iterative backlog/sprint planning, prioritization, sprint delivery reviews, and retrospectives to deliver governance capabilities reputed company and transparently.
Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, Analytics and reputed company technical field.
2 to 4 years of experience in at least one of these areas: data engineering, metadata management and data governance Platform DevOps support, data analytics, and BI development Applicants must be authorized to work in the US without requiring employer sponsorship currently or in the reputed company. U.S. FinTech does not offer H-1B sponsorship for this position.
Exposure to AI lifecycle tracking or AI governance processes preferred. Understanding of AI model testing or red teaming concepts preferred. Familiarity with AWS reputed company or serverless architectures preferred. Experience integrating data from multiple reputed company systems for analytics preferred. Basic knowledge of industry frameworks, including DMBOK, DCAM, CDMC, NIST AI RMF. Effective communication and problem-solving skills. Ability to work effectively with cross-functional teams. Good planning and task management capabilities. Strong aptitude for learning new technologies and tools. High reputed company and work ethics standards.