Manager, Responsible AI

Minor Hotels Europe and Americas

Manager für verantwortungsvolle KI bei Heraeus, einem globalen Technologieunternehmen. Fokussierung auf die Entwicklung und Umsetzung einer verantwortungsvollen KI-Strategie und Governance-Rahmen.

Posted 5/21/2026full-timeHanau • 🇩🇪 GermanyMid-LevelSeniorWebsite

About the role

Key responsibilities & impact

You will contribute to the development and operationalization of the company’s Responsible AI strategy, policies, and governance frameworks, ensuring the trustworthy, ethical, and compliant deployment of AI.
You will support alignment with regional regulatory requirements and market-specific expectations across relevant jurisdictions.
You will help establish and maintain structures for AI risk classification, decision-making, and review processes, ensuring compliance with regulatory requirements such as the EU AI Act and relevant industry standards.
You will contribute to preparing for and conducting discussions on AI-related risk appetite to support alignment on risk limits and trade-offs between innovation, speed, and compliance.
As part of the AI office, you will work closely with data scientists, engineers, product, legal, compliance, and risk functions, fostering alignment between technical and non-technical stakeholders.
You will support cross-functional collaboration and help ensure that Responsible AI principles are applied consistently across all AI initiatives.
By translating Responsible AI principles into actionable steps, you will support the development of tools, playbooks, and minimum-compliance packages that enable a scalable "shift-left" approach, integrating Responsible AI early into development processes.
You will help design and implement standardized AI risk and impact assessment frameworks and support the integration of Responsible AI across the full AI lifecycle—from intake and use-case design through development, deployment, and monitoring.
By proactively identifying and managing ethical, societal, and operational AI risks, you will help strengthen organizational resilience and trust in AI systems.
You will support the implementation of controls and monitoring mechanisms to address fairness, transparency, robustness, and bias, and contribute to internal and external audits and reviews.
You will support the development and delivery of training and awareness initiatives to build organizational capabilities around Responsible AI.
By monitoring regulatory and industry developments, you will help translate these into internal practices.
You may also support participation in external forums and working groups.

Requirements

What you’ll need

Relevant academic degree in technology, data science, ethics, public policy, business, or a related field
Several years of professional experience in AI, data, risk, governance, or adjacent areas (experience in consulting, strategy, or transformation roles is an advantage)
Good understanding of AI/ML concepts and the AI lifecycle (hands-on development experience not required)
Initial experience in Responsible AI, AI governance, risk management, or digital ethics
Familiarity with regulatory frameworks such as the EU AI Act and intersections with the GDPR is advantageous
Ability to translate abstract principles into structured, actionable processes
Strong stakeholder management and communication skills across technical and non-technical audiences
Pragmatic, solution-oriented mindset with a focus on delivery
Interest in ethical technology, Responsible AI, and trustworthy innovation

Benefits

Comp & perks

Competitive compensation package – attractive base salary plus bonus and support for private retirement savings
Modern working time arrangements – flexible control over working hours without time tracking, with a focus on result-oriented work
Generous time off – 30 days of annual leave plus up to 6 additional days off (company holidays on bridge days and year-end closure), special leave for significant life events, and a life-stage account for paid time off (e.g., sabbatical, early retirement)
Additional benefits – subsidized public transport, discounts at many (online) retailers, company medical service with comprehensive preventive health checks, sports facilities, and an on-site cafeteria with freshly prepared meals daily
Sustainability and social responsibility – sustainability embedded in corporate strategy and targeted support for initiatives in education, family, and science through corporate foundations

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Hard Skills & Tools

AIdata sciencerisk managementAI governancedigital ethicsAI lifecycleregulatory frameworksEU AI ActGDPRResponsible AI

Soft Skills

stakeholder managementcommunication skillssolution-oriented mindsetpragmatic approachcross-functional collaborationorganizational resilienceethical decision-makingrisk appetite discussionstraining and awareness deliverytranslating principles into processes