Product Owner Artificial Intelligence

Description

Lead the governance strategy for AI initiatives, ensuring ethical implementation, compliance with regulations, and alignment with business goals. You'll be responsible for developing and implementing AI governance frameworks, policies, and processes that enable innovation while managing risks associated with AI technologies.

What Part will you play:

Develop and maintain AI governance frameworks, policies, and standards across the organizationLead cross-functional teams to implement AI risk management strategies and ethical guidelinesCreate and oversee AI product lifecycle governance, from concept to retirementPartner with legal, compliance, risk, and data privacy teams to ensure AI solutions meet regulatory requirementsEstablish and track KPIs for measuring AI governance effectivenessFacilitate responsible AI product development through clear documentation and approval processesDrive AI transparency initiatives to build trust with stakeholders and customersManage AI incident response protocols and mitigation strategiesEducate teams on AI governance best practices and regulatory developments

Minimum qualifications:

Bachelor's degree in Computer Science, Business, or related field5+ years of experience in product management, governance, or compliance roles2+ years of experience working with AI/ML technologies or productsKnowledge of AI ethics principles and emerging AI regulationsExperience with risk management frameworks and compliance processesStrong communication and stakeholder management skillsAbility to translate complex technical concepts to non-technical audiences

Preferred qualifications:

Master's degree in AI, Data Science, Business, or related fieldProfessional certifications in AI ethics, governance, or risk managementExperience implementing AI governance in regulated industriesBackground in developing product requirements for AI/ML systemsFamiliarity with international AI regulations (EU AI Act, NIST AI RMF, etc.)Experience with data governance and privacy compliance (GDPR, CCPA)

What are desired skills:

Strategic thinking with ability to balance innovation and risk managementExcellent project management and organizational skillsCollaborative approach to working across engineering, legal, and business teamsStrong analytical abilities to assess AI risks and impactsAdaptability to evolving AI regulatory landscapesTechnical understanding of AI/ML concepts, including bias, explainability, and model governanceBusiness acumen to align governance with organizational objectivesPersuasive communication to advocate for responsible AI practices