Data Governance Lead (IA)

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The mission of The Walt Disney Company is to entertain, inform and inspire people around the globe through the power of unparalleled storytelling, and we can only achieve that through improving the success of the outstanding Employees and Cast Members that make up The Walt Disney Company.

People Insights is a Center of Excellence (CoE) that enables TWDC Human Resource leadership to attract, engage, and retain talent through compelling and actionable People Analytics. We integrate and transform organizational, HR, and Talent Acquisition data into a unified BI portfolio that empowers clients to create compelling stories about our most valuable resource: people.

As a Data Governance Lead you will bring your natural passion for working with and delivering data solutions to a team that enables data-driven HR strategy for the Walt Disney Company. In this role, you will primarily support governance around semantic layers, security models, and metadata classification and tagging that support automation and AI opportunities. This role requires experience implementing data governance initiatives, deep understanding of how data is architected in an enterprise, strong communication, and the creativity to apply data best practices in an agile way that protects our data assets.

Job Summary

The Data Quality & Governance team develops and maintains tools and processes which support data management, access & environment management, policy compliance, data stewardship, and delivery of accurate data. The team works with partners from across HR to ensure data requirements are clear, well documented, translated into technical requirements, validated for accuracy & business usability, and effectively communicated back to collaborators throughout the implementation process. Additionally, the team has critical partnerships with Legal, Privacy, Information Systems, and Data Engineering to ensure the storage, handling, and usage of data is compliant with company standards and global laws.

Key responsibilities for this role include:

• Partner with legal, privacy, and information security teams to ensure that data governance standards and processes represent and support related compliance policies and practices
• Creation and management of data classification and tagging process and semantic layers in close collaboration with Products team
• Implement efficient and accurate control structures and processes to monitor compliance to policies, inclusive of comprehensive environment and user audits
• Partner cross-functionally with business partners, Analytics and Data Engineering teams to gather source system information and requirements for data integrations, including analysis and clear communication of impacts of data choices
• Support protection of HR information assets through development and deployment of security models across complex, interdependent data systems

Basic Qualifications

• 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 technical and business domains
• Expertise in SQL, Python, data analysis, governance & data quality tools (Alation, Collibra, Informatica, Anomalo) and agile tools (JIRA, Git)
• 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

Preferred Qualifications

• Master’s degree in Information Systems, Computer Science, Business Management, or relevant technical field
• Experience with visualization tools (Tableau, Power BI, Cognos)

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