Data Governance Consultant

Quick Facts

• Highly visible consulting role in Poland with a hybrid working mode
• Focus: Data Management and AI Governance strategy, frameworks, assessments, and operating model design

Description

Lead enterprise Data & AI Governance strategy engagements and advise senior executives on defining data and AI strategy, governance operating models, and regulatory compliance for AI adoption. Build AI Governance frameworks, conduct data governance maturity assessments, and guide organizations on GenAI risk mitigation and audit-ready evidence aligned with the EU AI Act and relevant industry regulations. Translate strategy into actionable roadmaps through end-to-end consulting from business case and MVP definition to enterprise rollout and enablement.

Responsibilities

• Lead Data & AI Governance strategy discussions with client executives (CDO, CIO, CDAO, Risk Officers)
• Define and implement AI Governance frameworks aligned to regulatory and business requirements
• Perform Data Management & Governance assessments to create maturity roadmaps and execution plans
• Design federated governance operating models (councils, stewardship networks, RACI)
• Advise on GenAI risk mitigation (data leakage, IP exposure, hallucinations, compliant LLM use)
• Support regulatory readiness, audit preparation, and evidence documentation (EU AI Act and industry rules)
• Deliver end-to-end consulting: strategy ideation, ROI/business case development, MVP definition, and enterprise rollout
• Enable organizations through Data and AI literacy programs and change management
• Lead client workshops to discover priorities, assess capabilities, and define operational readiness
• Contribute to business development through proposals, SOWs, and executive presentations

Requirements

• Bachelor’s or master’s degree in information technology or a related field
• 6+ years of consulting experience in Data Governance, Data Management, or AI Governance initiatives
• Subject matter expertise in at least 2–3 areas: 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 providing strategic implementation recommendations
• Familiarity with AI/ML lifecycle risks (model drift, bias, 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

Nice to Have

• Experience with tools such as Collibra, Alation, Informatica, Ataccama, Azure Purview (or open-source equivalents)
• Knowledge of Data Observability, DataOps, and Data Mesh
• Exposure to OCM frameworks (Prosci ADKAR, Kotter) and scaling enterprise transformations

Benefits

• Hybrid by design, with opportunity to work remotely within Poland
• Chance to work abroad up to 60 days annually; business-driven relocation opportunities
• Career development programs, mentoring, thought leadership, and soft skills/well-being programs
• Certifications (Anthropic, Gemini, GCP, Azure, AWS) and English classes
• Stable pay; Employee Stock Purchase Plan participation with a 15% discount
• Benefits package including health insurance, multisport, shopping vouchers
• Referral bonuses up to $2,000; corporate, social, and well-being events; office perks (snacks, coffee, entertainment and relaxation zones)