The Walt Disney Company

Data Governance Lead – Semantic Layer

The Walt Disney Company

full-time

Posted on:

Location Type: Hybrid

Location: Lake Buena Vista • California, Florida, Washington • 🇺🇸 United States

Visit company website
✨ AI Apply
Apply

Salary

💰 $161,300 - $186,600 per year

Job Level

Senior

Tech Stack

CloudInformaticaPythonSQL

About the role

  • Close collaboration with data engineers, product engineers, data scientists and business stakeholders to define a unified semantic framework that not only empowers self-service analytics and ensures data consistency, but also fundamentally transforms our data into an AI-ready knowledge base capable of supporting prompt engineering and complex reasoning
  • Partner with legal, privacy, and information security teams to ensure that data governance standards and processes represent and support related compliance policies and practices including access controls, data masking, and encryption
  • Creation and management of data classification and tagging process for semantic layers in partnership with Products team to ensure consistent, reusable, and business-focused data definitions across enterprise HR platforms to support discoverability, lineage tracking, and AI enablement
  • Documentation for semantic layer including key business metrics, ontological definitions, relationships, and usage guidelines ensuring clarity, consistency, and ease of understanding for all users
  • Implement efficient and accurate control structures and audit process to monitor policy compliance across environments and users
  • Communicate complex technical data cross-functionally with business partners, Analytics and Data Engineering teams to gather source system information, requirements for data integrations, providing impact analysis, and context using business language empowering teams to make data-driven decisions
  • Design and deploy scalable security models to protect HR information assets across complex, interdependent data systems

Requirements

  • Bachelor's degree in Computer Science, MIS, Engineering, Analytics or related field or 8+ years equivalent work experience
  • 7+ years of experience in data management/governance, data engineering, technical project management, business intelligence, or analysis-based environments
  • 3+ years of success leading complex analytical projects and/or developing innovative solutions with multi-function collaborators
  • Demonstrated ability to develop collaborative relationships across functions and inspire trust and confidence through effective communication and interpersonal skills
  • Demonstrated analytical and creative problem-solving skills that enable turning stakeholder vision and requirements into tactical outcomes in a way that meets best practices while supporting efficient project delivery
  • Strong written and oral communication skills that translate across complex technical data and clear business language
  • Expertise in SQL, Python, data analysis, governance & data quality tools (Alation, Collibra, Informatica, Anomalo) and agile tools (JIRA, GitHub)
  • Experience in designing, documenting, and governance of semantic models, including business glossary development, metadata management, and data lineage
  • Familiarity and experience working with Data Governance programs, covering data compliance, classification, and metadata standards
  • Knowledge of and experience with data security approaches and implementations
  • Solid understanding of legal and privacy implications to data management
  • Deep understanding of data warehousing and integration architecture, inclusive of experience working with cloud platforms and data warehouses in large data environments
  • Familiarity with AI and machine learning concepts
  • Ability to thrive in a dynamic and fast-paced operational environment where change is the norm
Benefits
  • A bonus and/or long-term incentive units may be provided as part of the compensation package
  • full range of medical, financial, and/or other benefits, dependent on the level and position offered

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
SQLPythondata analysisdata governancedata quality toolssemantic modelsmetadata managementdata lineagedata warehousingcloud platforms
Soft skills
effective communicationinterpersonal skillsanalytical problem-solvingcollaborative relationshipstrust and confidencetactical outcomesproject deliveryadaptabilitydynamic environmentcross-functional communication