AI Governance Expert Cybersecurity GRC

2 - 8 years

0 Lacs

Posted:2 weeks ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

As an AI Governance Expert, your primary responsibility will be to establish and maintain a robust governance framework for the ethical, secure, and compliant use of AI technologies across the Digital Grid portfolio at Siemens Energy. You will collaborate closely with cybersecurity, data science, and product teams to ensure that AI systems are trustworthy, transparent, and in alignment with the sustainability and digitalization goals of Siemens Energy. Your role will involve developing and implementing AI governance policies, procedures, and controls that adhere to global standards such as the EU AI Act and NIST AI RMF. You will be tasked with identifying and mitigating risks associated with data and AI models, including issues related to bias, explainability, data privacy, and cybersecurity. Additionally, you will establish protocols for model documentation, validation, and monitoring throughout the AI lifecycle. Collaboration will be a key aspect of your role as you work with data scientists, engineers, and compliance teams to integrate data governance into AI development and deployment processes. You will also support internal and external audits related to AI systems to ensure compliance with regulatory and ethical standards. Conducting training sessions on responsible AI practices and governance for internal stakeholders will be part of your responsibilities. To excel in this role, you should hold a Bachelor's or Master's degree in computer science, data science, cybersecurity, business, or a related field. You must have 5 to 8 years of experience in GRC, cybersecurity, or data governance, with at least 2 years specifically in AI/ML governance or data management. A strong understanding of AI/ML technologies, data privacy laws, and risk frameworks like NIST AI RMF is required. Familiarity with regulatory frameworks such as the EU AI Act, EU Data Act, and EU CRA is also essential. Excellent communication, stakeholder engagement, and analytical skills are crucial for this role. Experience with AI model documentation, including Model Cards and Datasheets for Datasets, is preferred. Knowledge of adversarial ML, secure AI development, and MLOps will be beneficial. Certifications such as ISO/IEC 8000, ISO/IEC 42001, or equivalent would be an advantage.,

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Siemens

Automation Machinery Manufacturing

Munich Brande

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