Jobs › Data & AI Governance Consultant – German Projects
Data & AI Governance Consultant – German Projects
Job at a glance
- Category
- AI Governance
- Work arrangement
- On-site
- Location
- 3 Locations
- Posted
- Aug 31, 2026
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PwC is hiring a Data & AI Governance Consultant – German Projects in 3 Locations. This is a AI Governance job in the governance, risk, and compliance field. Review the full details below and apply directly with PwC.
Job Description Summary About the team Our Czech team, mainly based in Prague, works closely with PwC Germany as a nearshore consulting team supporting transformation projects in the financial services sector. We bring together strong German language capabilities, consulting skills, and understanding of banking, insurance and other FS domains. We have been fully seamlessly integrated with PwC Germany but you will also be part of the Czech technology consulting team and will have the opportunity to be involved in activities in both countries. About your manager Romana Mrazova is a Manager in PwC’s Technology Consulting practice. Since 2017, she has combined technology consulting with hands-on delivery, working on software development and digital transformation in the automotive and telecommunications sectors, including SAP transformations. Her work covers product management, business analysis, project governance, and test and release management, with a focus on product quality and delivery excellence. Romana brings clarity to complex challenges and helps turn priorities into results. She guides cross-functional teams, improves collaboration and strengthens agile ways of working. She lived and worked in Germany and China and speaks Czech, English and German. Job description summary Data AI Governance Consultant, you will play a key role in shaping and embedding the Data AI operating model and governance framework across the organization. You will work closely with data owners, data stewards, platform teams, and key stakeholders to ensure data is managed as a strategic asset, in line with regulatory, compliance, and business needs. Your responsibilities will include: Developing and enforcing data governance frameworks, policies, and standards Supporting the implementation of data stewardship and data ownership models across domains Collaborating with data owners, stewards, and platform teams to ensure consistent governance practices Driving adoption of data governance tools (e.g. Collibra, Alation, Informatica) Monitoring compliance with data governance policies and supporting audits or regulatory reporting Promoting data literacy and awareness through trainings, documentation, and community engagement Contributing to innovation management initiatives within the Data AI organization Preparing clear and structured presentations and reporting dashboards for senior stakeholders for senior stakeholders What matters to us Completed university degree in Economics,
Full responsibilities and requirements are on PwC's application page.
Apply for this job →Location and market context
This job is based in 3 Locations on-site. Local candidates benefit from being close to PwC's teams and regional hiring market. Confirm the exact in-office expectation and any relocation support with the employer.
About AI governance jobs
AI governance sits at the intersection of policy, risk, and engineering. Teams are standing up model inventories, use-case intake and review, risk classification, and control monitoring as regulation and board scrutiny of AI intensify. Jobs like this one are typically evaluated against frameworks such as NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices.
How to position yourself for this AI governance job
Strong candidates emphasize experience translating policy into operational controls, working across legal, compliance, security, product, and data teams, documenting AI system risks, and supporting governance processes. In your resume and outreach, tie your experience to how PwC would apply NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices, and lead with concrete outcomes rather than duties.
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