Sr Data Governance Engineer (AI) at NBCUniversal

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

23 Mar, 26

Salary

145000.0

Posted On

23 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Governance, AI Governance, Cloud Engineering, ML Ops, Data Science, Programming, SQL, Terraform, AWS, GCP, Azure, CI/CD, Bias Detection, Risk Assessment, Semantic Modeling, API Integration, Monitoring

Industry

Entertainment Providers

Description

Company Description NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our theme parks and consumer experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through Universal Filmed Entertainment Group and Universal Studio Group, and have world-renowned theme parks and attractions through Universal Destinations & Experiences. NBCUniversal is a subsidiary of Comcast Corporation. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. Comcast NBCUniversal has announced its intent to create a new publicly traded company ('Versant') comprised of most of NBCUniversal's cable television networks, including USA Network, CNBC, MSNBC, Oxygen, E!, SYFY and Golf Channel along with complementary digital assets Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. The well-capitalized company will have significant scale as a pure-play set of assets anchored by leading news, sports and entertainment content. The spin-off is expected to be completed during 2025. Job Description 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! 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. Qualifications 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. Desired Characteristics Understanding of AI regulations (EU AI Act, GDPR, etc.). AI/LLM certification. Semantic Modeling experience. Strong interpersonal, conflict resolution, presentation, and customer service skills. Additional Requirements: Fully Remote: This position has been designated as fully remote, meaning that the position is expected to contribute from a non-NBCUniversal worksite, most commonly an employee’s residence. 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. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $115,000 - $145,000We are accepting applications for this position on an ongoing basis. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to [email protected]. Business Segment: Operations & Technology Compensation: USD115000 - USD145000 - yearly

Responsibilities

The role involves implementing AI governance policies and building monitoring frameworks for AI models. Additionally, the engineer will develop ML/AI Ops pipelines and support multi-cloud AI workloads.