Senior AI Governance Specialist

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November 18

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Genesys

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Artificial Intelligence • SaaS • Telecommunications

Genesys is a leading provider of AI-powered experience orchestration solutions designed to deliver personalized experiences at scale. Their offerings include comprehensive contact center software, workforce engagement management solutions, and an open platform with cloud architecture. Genesys Cloud CX and EX platforms optimize both customer and employee experiences using intelligent automation and embedded AI, allowing seamless engagement across any channel. With a focus on various industries including banking, healthcare, retail, insurance, and government, Genesys assists organizations in transforming customer and employee interaction landscapes. Additionally, their AppFoundry Marketplace offers pre-integrated applications to extend platform functionalities.

5001 - 10000 employees

Founded 1990

🤖 Artificial Intelligence

☁️ SaaS

📡 Telecommunications

📋 Description

• extend our Data Governance team and lead governance across AI, data, and knowledge assets • ensure that our AI services, models, and applications are developed and deployed in alignment with enterprise governance frameworks, regulatory requirements, and ethical standards • play a critical role in establishing trust, accountability, and compliance for our AI solutions • work closely with data governance, legal, compliance, security, and AI engineering teams to ensure that enterprise AI use cases are transparent, auditable, and responsible • define and implement AI governance frameworks • establish guidelines and controls for responsible AI development, deployment, and monitoring • 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 • 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

🎯 Requirements

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

🏖️ Benefits

• great benefits and perks like larger tech companies • independence to make a larger impact on the company and take ownership of their work