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November 4, 2026
Data Governance Consultant
Senior • On-site
Poznań, Pl-Po, Poland
Quick Facts
Role: Data Governance Consultant (Data & AI Governance)
Work mode: Hybrid (based in Poland)
Focus: Enterprise data management and AI governance strategy, operating models, compliance, and GenAI risk mitigation
Description
You will advise senior executives on defining data and AI strategy, establishing governance operating models, and ensuring alignment with emerging AI regulations. In this role, you will lead governance discussions, run data management and AI governance assessments, and design federated governance structures. You will also support regulatory readiness and audit preparation for the EU AI Act and industry-specific requirements.
Responsibilities
Lead enterprise Data & AI governance strategy discussions and build trusted-advisor relationships with client executives (CDO, CIO, CDAO, Risk Officers)
Define and implement AI governance frameworks aligned to regulatory and business requirements
Conduct Data Management & Governance assessments to create maturity roadmaps and execution plans
Design federated governance operating models with councils, stewardship networks, and RACI structures
Advise on GenAI risk mitigation (data leakage, IP exposure, hallucination risk, compliant use of large language models)
Support regulatory readiness, audit preparation, and evidence documentation aligned with the EU AI Act and industry regulations
Deliver end-to-end consulting (ROI/business case, MVP definition, and enterprise rollout)
Enable organizations through Data and AI literacy and drive change management initiatives
Lead client workshops to discover priorities, assess capabilities, and define operational readiness
Contribute to business development via proposals, SOWs, and executive presentations
Requirements
Bachelor’s or master’s degree in information technology or related field
6+ years of consulting experience in Data Governance, Data Management, or AI Governance
Subject matter expertise in 2–3 of: Data & AI Governance, AI compliance, Data Quality, Metadata Management, Data Cataloging, Lineage, Master Data Management
Knowledge of governance frameworks such as DCAM and Responsible AI principles (fairness, transparency, accountability)
Practical experience running maturity assessments and recommending strategic implementations
Familiarity with AI/ML lifecycle risks including model drift, bias, and GenAI-specific risks
Strong facilitation skills for workshops and executive-level stakeholder engagement
Hands-on experience with governance tools and Microsoft 365 for documentation and collaboration
Excellent communication and documentation skills in English
Benefits
Hybrid working (remote options within Poland) and chance to work abroad up to 60 days annually
Career development programs, thought leadership opportunities, mentoring, and soft-skills/well-being programs
Certifications (Anthropic, Gemini, GCP, Azure, AWS) and English classes
Stable pay and participation in an Employee Stock Purchase Plan (15% discount)
Benefits package (health insurance, multisport, shopping vouchers)
Referral bonuses up to $2,000
Corporate, social, and well-being events
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