Sr. AI Governance Specialist

Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements.

We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together.

We are seeking a Sr. AI Governance Specialist to extend our Data Governance team and lead governance across AI, data, and knowledge assets. This role ensures that our AI services, models, and applications are developed and deployed in alignment with enterprise governance frameworks, regulatory requirements, and ethical standards.

As AI becomes increasingly embedded in enterprise operations, you will play a critical role in establishing trust, accountability, and compliance for our AI solutions. You will work closely with data governance, legal, compliance, security, and AI engineering teams to ensure that enterprise AI use cases are transparent, auditable, and responsible.

About the Team:

The Data, Analytics & AI team is a central team comprised of Data Engineering, Data Platform/Technologies, Data Analytics, Data Science, Data Product, AI, and Data Governance practices.  This team serves the enterprise that includes sales, finance, marketing, customer success, product and more.  The team serves as a core conduit and partner to operational systems that run the business including Salesforce, Workday and more. 

Key Responsibilities

AI Governance & Policy

• Define and implement AI governance frameworks, building on existing enterprise data governance policies.
• Establish guidelines and controls for responsible AI development, deployment, and monitoring (e.g., fairness, transparency, accountability).
• Drive adoption of compliance and privacy standards in AI initiatives (GDPR, CCPA, HIPAA, and industry-specific regulations).
• Develop policies for data usage, model training, knowledge orchestration, and LLM customization to ensure compliance and ethical use.
• Implement frameworks for AI audits, monitoring, and explainability to meet regulatory and enterprise needs.
• Partner with security and compliance teams to integrate privacy and security into AI workflows.
• Maintain awareness of emerging regulations and industry best practices for AI governance.
• Collaborate with AI platform engineers and data scientists to embed governance into AI workflows (model lifecycle, data usage, RAG services).
• Work with application teams to ensure AI solutions meet enterprise governance and compliance requirements before deployment.
• Provide training and guidance for business and technical teams on responsible AI practices and governance standards.
• Define and track key governance metrics (e.g., model transparency, compliance adherence, bias detection, audit readiness).
• Support the development of certification and approval processes for AI models and services.

Qualifications:

Required

• Bachelor's degree in Data Science, Computer Science, Information Systems, Law, or a related field.
• 5+ years of experience in data governance, compliance, or risk management, with exposure to AI/ML systems.
• Strong knowledge of data privacy and compliance regulations (GDPR, CCPA, HIPAA, SOC2, etc.).
• Familiarity with AI/ML concepts (model lifecycle, training data, embeddings, vector stores, RAG).
• Proven experience working with governance frameworks in enterprise settings.
• Excellent communication skills to articulate governance requirements to both technical and non-technical stakeholders.

Preferred

• Prior experience in AI governance, responsible AI, or ethical AI initiatives.
• Understanding of explainable AI (XAI), bias detection, and model interpretability frameworks.
• Familiarity with MLOps and data governance tooling (e.g., Collibra, Alation, Immuta, MLflow, Model Cards).
• Experience partnering with legal, compliance, and audit teams in highly regulated industries.
• Strong track record of policy development and adoption in complex enterprises.

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About Genesys:

Genesys empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit 

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Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.

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