4 дня назад
AI Data Governance Implementation Lead (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Data Governance Implementation Lead (AI): Helping clients embed Data and AI Governance into daily business practices with an accent on data ownership, quality, metadata, lineage, privacy, security, and responsible AI. Focus on translating ambiguous governance challenges into practical roadmaps, aligning senior stakeholders, and building reusable governance playbooks across complex enterprise environments.
Location: Porto, Portugal
Company
is a global consulting and advisory firm delivering AI and Data, Digital Commerce, Marketing and Design solutions across multiple industries.
What you will do
- Help clients embed Data and AI Governance into daily business practices and prioritize initiatives based on business value, risk and stakeholder buy-in.
- Identify governance gaps, stakeholder needs and business pain points with Business, Data, AI and IT teams.
- Define governance ownership and accountability for Data Owners, Data Stewards, Data Custodians and governance forums.
- Facilitate workshops and translate ambiguous governance challenges into actionable implementation roadmaps.
- Support governance across data quality, ownership, metadata, lineage, access, privacy, security and responsible AI usage.
- Create reusable governance templates, playbooks and accelerators for projects and clients.
Requirements
- 4–6 years of experience in Data Governance, Data Management, Data Quality, Analytics, Business Analysis or a related field.
- Experience starting a data or governance initiative from scratch and securing stakeholder sponsorship and buy-in.
- Strong understanding of data ownership, stewardship, data quality, metadata, lineage and governance processes.
- Understanding of how data quality, governance, privacy and security affect AI solutions and trustworthiness.
- Awareness of AI/ML concepts and lifecycle considerations; hands-on AI development is not required.
- Strong stakeholder-management, communication and problem-structuring skills in complex enterprise environments.
Nice to have
- Familiarity with DAMA-DMBOK, CDMP, Collibra, Informatica, Alation or Microsoft Purview.
- Knowledge of Responsible AI and AI Governance principles, including transparency, accountability, privacy, security and human oversight.
- Exposure to Azure, Databricks or similar cloud, data and AI platforms.
- Consulting experience or experience in international or multi-entity organisations.
- Basic SQL, BI or data-platform knowledge and awareness of GDPR or other data-protection principles.
Culture & Benefits
- Hands-on opportunity to help clients create practical Data and AI Governance with measurable business impact.
- Collaboration with multidisciplinary experts across Data, Analytics, AI, Architecture, Privacy and Security.
- Regular interaction with senior business, Data, AI and IT stakeholders.
- Exposure to complex enterprise data environments, evolving AI technologies and responsible AI practices.
- Inclusive environment focused on diversity, equity, inclusion, belonging, creativity and professional growth.
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