AI Manager

We are looking for an AI Manager to our team.

Ideal for someone who is passionate about AI and its practical application in business and wants to shape how an organization adopts AI at scale.

AI Governance & AI Adoption · AI Risk Assessment · AI Agents & Automation· Information Security & Data Governance

What you'll do:
1. Build and Own the AI Governance Framework
Develop clear and practical rules for AI usage across the company.
Define which AI tools and use cases are approved, require additional review, or are prohibited.
Establish clear guidelines on what types of company data can and cannot be shared with AI services.
Develop a risk assessment framework for new AI tools and use cases.
Define clear ownership and responsibilities across AI, Security, Legal, IT, and business teams.
Create a streamlined approval process for AI initiatives without unnecessary bureaucracy.
2. Enable AI Innovation Don't Block It
Build governance processes that enable employees to safely explore and adopt AI rather than creating unnecessary barriers.
Establish a self-service approach for low-risk AI initiatives.
Define clear and practical risk assessment criteria.
Introduce a fast-track approval process for standard and low-risk use cases.
Maintain a catalogue of approved AI tools.
Develop practical templates, guidelines, and playbooks for teams.
Establish sandbox and pilot mechanisms for testing new AI solutions.
3. Drive AI Adoption Across the Company
Collect, structure, and maintain a portfolio of AI use cases across teams.
Help teams identify opportunities where AI can improve efficiency, quality, or decision-making.
Identify and prioritize the most promising AI use cases.
Support teams in running AI pilots and measuring their impact.
Identify successful use cases and help scale them across the organization.
Build a culture of responsible and effective AI adoption.
4. Manage Long-Term AI Risks
Build processes to identify and manage AI-related risks throughout the lifecycle of AI solutions.
Monitor risks related to data leakage and misuse of company information.
Assess privacy, security, and compliance risks associated with AI adoption.
Establish controls around the use of AI in critical or high-impact decision-making.
Define approaches to managing AI hallucinations, inaccuracies, and other model-related risks.
Assess and mitigate vendor and dependency risks associated with AI providers.
Establish governance for the growing use of AI agents and automated processes.
Monitor changes to AI vendors' terms of service, capabilities, and risk profiles.
Keep AI governance aligned with evolving regulatory and compliance requirements.
Identify and manage potential reputational and operational risks related to AI.
5. Establish AI Lifecycle Management
Design and implement an end-to-end AI lifecycle management process:
Idea Risk Assessment Pilot Approval Production Monitoring Review
Ensure the company has clear visibility into which AI solutions are being used, why they are being used, what data they process, and who is responsible for them.
Establish regular review and reassessment mechanisms for AI tools and use cases.
Ensure AI governance remains effective as tools, use cases, risks, and regulations evolve.

Your expertise:
Proven experience building and driving AI adoption processes in fast-paced and constantly evolving environments.
Ability to evaluate AI use cases from both business value and risk perspectives.
Solid understanding of information security, privacy, and data governance principles.
Experience working cross-functionally with Security, Legal, IT, and business teams.
Strong stakeholder management, communication, and collaboration skills.
Ability to translate complex technical, security, legal, and regulatory requirements into clear and practical guidelines for employees.
Strong systems thinking and the ability to design scalable processes that can evolve with the organization.
Proactive mindset and willingness to independently research and evaluate emerging AI technologies, tools, and use cases.
Hands-on experience with AI agents, automation, and AI-powered workflows.
Technical background with the ability to understand AI technologies, architectures, and their practical implications.
Previous experience in fintech, financial services, or another highly regulated technology environment.

Life at Emergine:
Stay Supported
100% paid sick leave
21 working days of paid vacation
Medical support for office and remote employees
Benefits Cafeteria including sports, gym, healthcare, dental care, psychological support, wellness and learning.
Work Without Borders
International team
Global collaboration
Flexible work models depending on the role
Remote, hybrid or office-based setup depending on the position
Grow Through Motion
PDP and career development plans
Regular feedback sessions
Leadership opportunities
Continuous professional development
Knowledge-sharing sessions
Management development initiatives
Create Real Impact
Ownership from early stages
International projects
Complex and meaningful challenges
Collaborative management
Open communication
Low bureaucracy
Space for initiative and innovation

Hiring process:
HR Interview · Technical Interview · Final Interview · Reference check · Job Offer