About the Organisation
Principal Global Services is a Global In-house Center, dedicated to supporting Principal Financial Group achieve our common purpose of empowering and enabling our customers across the globe by protecting and advancing their financial well-being through retirement, insurance and asset management solutions. Since our inception in 2006, our continued focus has been to take our services to the next level of providing solutions, which has been further reinforced with stimulating results and a clear strategic direction.
Over the last decade, we have assimilated the right mix of talent and competencies to build a center of excellence that delivers quality, innovation and strategic value. We offer right over best opportunities for a holistic growth, because we believe that engagement is directly proportional to the right opportunities, fostered by cultural pillars of empowerment and enablement. Principal Global Services has offices in Hyderabad (India), Manila (Philippines) and Pune (India). To find out more, visit us at www.principal.com
Role description
- Lead assessments of AI and advanced analytics use cases against ERAI frameworks, compliance standards, and ethical guidelines.
- Evaluate risks related to bias, fairness, transparency, accountability, privacy, security, and societal impact.
- Review and interpret technical documentation, solution designs, and implementation details from a risk and governance perspective.
- Provide structured feedback to stakeholders, ensuring compliance with legal, regulatory, and organizational requirements.
- Contribute to the continuous improvement of ERAI assessment processes, methodologies, and tools.
- Partner with Legal, Risk, Compliance, and Technology teams to align evaluations with enterprise policies.
- Mentor and support knowledge transfer within the ERAI team.
- Act as a trusted advisor to internal committees and governance forums on responsible AI practices.
Qualifications
8+ years of experience in evaluating advanced technology or data-driven solutions with a focus on risk, compliance, or governance.
Demonstrated experience 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).
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