Exadel
Data/AIGovernanceSME
Neural analysis suggests this role is
optimal for Senior candidates.
“Data/AI Governance SME at Exadel. Skills: Data governance, AI governance, Data privacy, Enterprise data management. Review data governance maturity. Review ownership model”
Industry & Context.
Identify governance risks
What They're Looking For.
Must Have
Experience in data governance, Experience in AI governance, Experience in data privacy, Experience in enterprise data management, Understanding of GDPR, Understanding of EU data residency, Understanding of access control, Understanding of data protection requirements, Experience working with enterprise data platforms, Experience working with analytics initiatives, Experience working with AI initiatives, Ability to translate governance requirements into practical delivery recommendations, Experience working with business stakeholders, Experience working with IT stakeholders, Experience working with security stakeholders, Experience working with legal stakeholders, Experience working with compliance stakeholders, Ability to identify governance risks
Nice to Have
Experience with AI adoption, Experience with responsible AI, Experience with GenAI governance, Experience in manufacturing, Experience in multi-site enterprise, Experience in logistics, Experience in supply chain, Experience in process-heavy organizations, Familiarity with cloud data platforms, English level Upper-Intermediate
What You'll Do.
Review data governance maturity
Review ownership model
Review decision-making gaps
Define data ownership principles
Support definition of access rights
Support definition of permissions
Support definition of data sharing rules
Support definition of approval flows
Validate EU data residency
Validate security considerations
Validate compliance considerations
Support AI governance guardrails
Support safe AI usage
Support shadow AI mitigation
Support data protection
Support responsible use principles
Advise on governance requirements
Review platform recommendations
Review architecture recommendations
Contribute to operating model
Provide input into Phase 2 roadmap
How You'll Work.
Team & Collaboration
Business stakeholders; IT stakeholders; Security stakeholders; Legal stakeholders; Compliance stakeholders
Full Job Description
Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. What You’ll Do Review current data governance maturity, ownership model, and decision-making gaps Define high-level data ownership principles across business and IT stakeholders Support definition of access rights, permissions, data sharing rules, and approval flows Validate EU data residency, GDPR, security, and compliance considerations relevant to the target platform Support AI governance guardrails, including safe AI usage, shadow AI mitigation, data protection, and responsible use principles Advise on governance requirements for future AI / automation use cases Review platform and architecture recommendations from a governance and compliance perspective Contribute to the operating model for future data / AI platform support Provide input into Phase 2 roadmap regarding governance, controls, ownership, and readiness What You Bring Experience in data governance, AI governance, data privacy, or enterprise data management Understanding of GDPR, EU data residency, access control, and data protection requirementsEx perience working with enterprise data platforms, analytics, or AI initiatives Ability to translate governance requirements into practical delivery recommendations Experience working with business, IT, security, legal, and compliance stakeholders Strong ability to identify governance risks without overcomplicating delivery Nice to Have Experience with AI adoption, responsible AI, or GenAI governance Experience in manufacturing, multi-site enterprise, logistics, supply chain, or process-heavy organizations Familiarity with cloud data platforms such as Azure,
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