Sr Data Governance Engineer (AI)

NBCUniversal • New York, NY

3h • $115,000 - $145,000 • Remote

About The Position

The Data and Analytics Team (D&A) at NBCUniversal is looking for a passionate Senior AI Data Governance Engineer who’s eager to participate in NBCU’s D&A journey to AI. In this role, you’ll design and implement governance guardrails for AI models and agents, ensuring secure, compliant, and scalable deployments. You’ll work at the intersection of cloud engineering, ML/AI Ops, and data governance, partnering with technologists across NBCU’s diverse portfolio - from streaming and broadcast to film studios and theme parks.. The D&A team focuses on future-proof data and analytics strategies, supporting NBCU’s vast portfolio - from broadcast, cable, news, streaming services, and sports networks to film studios, theme parks, and digital properties. We pride ourselves on delivering data that shapes strategic business decisions around content. Join us!

Requirements

• Bachelor's degree in computer science or related discipline (or equivalent).
• 5+ years overall IT experience; AI/ML experience (at least 2 years) with Data Science background or related.
• Strong hands-on experience with cloud environments (at least two: AWS (preferred), Snowflake (preferred), GCP, Azure, Databricks), leveraging native AI/ML services such as SageMaker, Vertex AI, Cortex, or Agentbricks.
• Proficiency in programming languages (e.g., Python) with SQL (Snowflake preferred), YAML, and REST API integration in data/AI workflows.
• Experience with Hyperscalers (AWS, Azure, GCP) and their AI models, plus CI/CD pipelines for model development and MLOps best practices.
• Experience with Gen AI Governance (RAG, LLM Ops, MCP, Embedding stores, Agents, Prompt Engineering), including AI Agents/RAG/MCP integrations.
• Familiarity with Infrastructure as Code (Terraform, CloudFormation), security/identity frameworks (RBAC, IAM policies), and various Data Analytics/Warehouse solutions, Semantic layers, and ETL/ELT tools.
• Strong verbal/written communications and interaction skills with peers, internal/external customers at all levels.
• Excellent PowerPoint, Visio, or Lucidchart skills for presentations and workflows.
• Ability to thrive in a fast-paced environment to accelerate AI Governance adoption.

Nice To Haves

• Understanding of AI regulations (EU AI Act, GDPR, etc.).
• AI/LLM certification.
• Semantic Modeling experience.
• Strong interpersonal, conflict resolution, presentation, and customer service skills.

Responsibilities

• Implement AI governance policies in collaboration with NBCU Legal, Privacy, and Cyber teams.
• Build monitoring and reporting frameworks for AI models and tools, emphasizing cost, tagging, and AI FinOps principles like usage tracking and optimization.
• Develop and manage ML/AI Ops pipelines including CI/CD for models using GitHub Actions or Jenkins, ensuring automation in model deployment and version control.
• Design and implement AI infrastructure as code through Terraform or AWS CloudFormation, promoting consistent and auditable environment management.
• Support multi-cloud AI workloads across AWS (SageMaker, IAM), GCP (Vertex AI), Azure (ML + Purview), Snowflake (Cortex), and Databricks (Genie/Agentbricks).
• Build best practices on AI model integration with Semantic Layer, including semantic models, YAML-based configurations, and API/SQL integrations.
• Build AI consumption and usage metrics dashboards with guardrails using tools like Llamaguard, LangGraph, and LangChain.
• Enable RBAC on AI models across tools/LLMs for Data & Analytics teams, enforcing IAM policies for secure access.
• Facilitate AI model cataloguing, lineage, and governance of Semantic Layer for Gen AI models.
• Facilitate build of training/synthetic data for AI model testing.
• Implement technical guardrails such as fairness constraints, bias detection, and transparency measures in AI tools/models.
• Conduct risk assessments and mitigation through regular audits of fairness, bias detection, and transparency.
• Coordinate new Data & Analytics POCs on AI features and promote AI governance at design.
• Build an AI Literacy framework (Tokens, Embeddings, Prompts, RAG, Grounding, Hallucination, Vectorization, Bias, etc.).
• Facilitate decision matrix on AI model implementation per use case.
• Engage in architecture design sessions, code reviews, and change management for AI model deployment.

Benefits

• This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees