Consultant - Data Governance

As a Risk and Governance Specialist in the ERAI team, your role will involve leading assessments of AI and advanced analytics use cases against ERAI frameworks, compliance standards, and ethical guidelines. You will be responsible for evaluating risks related to bias, fairness, transparency, accountability, privacy, security, and societal impact. Your duties will also include reviewing and interpreting technical documentation, solution designs, and implementation details from a risk and governance perspective. Providing structured feedback to stakeholders to ensure compliance with legal, regulatory, and organizational requirements will be a key aspect of your responsibilities. Additionally, your contribution to the continuous improvement of ERAI assessment processes, methodologies, and tools is crucial. You will collaborate with Legal, Risk, Compliance, and Technology teams to align evaluations with enterprise policies. Mentoring and supporting knowledge transfer within the ERAI team and acting as a trusted advisor to internal committees and governance forums on responsible AI practices will also be part of your role. Qualifications required for this position include: - 8+ years of experience in evaluating advanced technology or data-driven solutions with a focus on risk, compliance, or governance. - Demonstrated experience in reviewing technical/business documentation and translating it into structured assessments. - Strong understanding of regulatory and legal considerations surrounding AI and data use. - Proven ability to assess ethical implications of AI-enabled solutions. - Excellent communication skills, with the ability to influence diverse stakeholders. - Hands-on experience in ethical AI development or deployment (e.g., building solutions with embedded fairness, transparency, or accountability safeguards). - Exposure to industry frameworks for responsible AI (e.g.: NIST AI RMF). You will be a valuable asset to the ERAI team by leveraging your expertise in risk, compliance, governance, and ethical AI practices to ensure responsible use of AI technologies within the organization.,