AI Manager

Emergine; Polska; Hybrid; PLN 180,000 - 320,000; Full time

Benefits offered by this job

100% paid sick leave

21 vacation days

Medical support

Job summary

Emergine is seeking an AI Manager to lead governance and drive scalable AI adoption across the business. You will shape policies, define approved tools, and establish data controls for AI services.

You will collaborate with Security, Legal, IT and business teams to manage risk, enable rapid experimentation, and scale trusted AI solutions across the organization.

Qualifications

• Proven experience building AI adoption programs.
• Strong understanding of information security, privacy, and data governance.
• Ability to translate regulatory requirements into practical guidelines.
• Experience working with Security, Legal, IT and business teams.
• Fintech or regulated technology background preferred.

Responsibilities

• Build and own the AI governance framework.
• Enable AI innovation with safe, scalable processes.
• Drive AI adoption across the company.
• Manage long-term AI risks and lifecycle.
• Collaborate with Security, Legal, IT and business teams.

Skills

AI governance

AI adoption

InfoSec & governance

Stakeholder mgmt

Cross-functional

Risk assessment

AI agents

Automation

Job description

We are looking for anAI Manager to our team.

Ideal for someone who is passionate aboutAI 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