We are looking for experienced Data Governance Senior Analyst to join our Data Science and Analytics team. This role requires acute attention to detail, a strong sense of accountability, collaboration skills, and extensive hands-on experience as you directly contribute to the success of our data strategy, including data collection, reporting standards, data definitions, measurement documentation, and the reporting of data across our organization. At DSS, data is central to measuring all aspects of the business, and critical to its operations and growth. Data Governance Analysts work closely with the data engineering, back-end services and front-end technology teams for consistent collection and usage of critical KPIs. The Data Governance Senior Analyst will work to implement data quality policies, standards and procedures, document data flows and be the subject matter expert of the data flowing into our environment that require stewardship. Responsibilities: Document and implement data quality policies, standards, and procedures for both legacy and new data environments. Ensure the complete data lineage captured and managed for our data of record. Responsible for understanding the business requirements and translating them into actionable query specs and owning how data should be tracked and measured for analysis and reporting. Design and maintain data dictionary documents based on stakeholder requirements for multiple platforms, including websites, mobile apps, and connected devices. Perform data quality audits, identify data collection issues, suggest improvements, and help implement fixes. Manage the data taxonomy, reference data management, join model, and master data management for essential data. Manage the communication plan to make sure all the data consumers are aware of the data governance strategies and any changes Monitor, and revise as needed, the Key Performance Indicators (KPI) as we bring in more data. Serve as a thought leader in terms what needs to managed and improved to better serve our customers Work as a lead data steward and work hand-in-hand with the managers of the operating systems to convey the data quality needs. Basic Qualifications: 3+ years of relevant experience in defining and implementing the data governance best practices, documenting the data flow & process mapping, as a data steward responsible for the metadata management, data quality, KPIs, etc. 2+ years work experience using SQL is required. Strong experience in documenting the data requirements, data strategy, data rules (standardization, cleanse, and validation Exceptional interpersonal skills and written communication skills Strong analytical skill to troubleshoot the issues, analyze the cause, quickly come-up with the possible solution(s), document the changes, and communicate to the change to the organization High familiarity with data platforms and applications such as GCP (Dataflow, BigQuery), Redshift, Snowflake, Airflow Experience using Charles Proxy, Fiddler, Bloodhound or other equivalent tools for debugging JavaScript calls Ability to evaluate risks and provide recommendations / solutions in a timely manner Bachelor's degree required in information science, data management, computer science or related field preferred Preferred Qualifications: Two years of experience in the technology industry, knowledge of data and product a plus.  

At Disney, we’re storytellers. We make the impossible, possible. The Walt Disney Company is a world-class entertainment and technological leader. Walt’s passion was to continuously envision new ways to move audiences around the world—a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences — and we’re constantly looking for new ways to enhance these exciting experiences. The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. The Enterprise Technology organization drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence. This role is part of the Enterprise Business Systems (EBS) organization. Our mission is to provide business technology solutions for the enterprise that empower growth, and enhance value across brands, geographies and organizations. The Data Solutions & Architecture group is part of the Enterprise Technology organization. We are responsible for architecting, developing and managing the data platforms, data integrations and reporting and analytics solutions for The Walt Disney Company’s enterprise business data. We are experts at architecting and building highly scalable data and analytics solutions that meet the business requirements of the groups across the company we support. As part of our team, you will be working with a full range of data technologies and architectures including big data platforms, enterprise data warehouses, pub/sub data messaging, master data management, AI/ML predictive analytics, Robotics Process Automation, and multiple reporting and analytics frameworks and tools. You will be working in a complex, challenging, fast-paced and rewarding environment, with other like-minded peers who are solutions and results oriented, and who enjoy collaboration. Besides being experts in their respective fields, our architects and developers are smart, curious, innovative, solutions-oriented, respectful, highly collaborative and continuous learners. The Principal Data Solutions Architect is one of the key architect roles in the organization. This is a strong technology leadership role, responsible for the Solutions Architecture of major data and analytics solutions for enterprise business data across TWDC. This architect role will be an integral part of a specialized community of architects specializing in different aspects of data technology, and in that community the Data Solutions Architect will be required to have the widest domain breadth with the ability to design end-to-end, full-stack solutions that span data stages and technologies and are focused on meeting business requirements. Responsibilities : Architecting and delivering high-performing, highly-scalable and flexible, cost-effective, cloud-based enterprise business data solutions that meet business requirements and conform to the organization’s data architecture roadmaps and strategies Translating business requirements into conceptual and detailed technology solutions Collaborates closely with partners across the organization including other architects, engineering managers, product managers, and business partners Responsible for data security and compliance Designing and documenting data architecture at multiple levels (high-level to detailed) and across multiple views (conceptual, logical, physical, data flow and sequence diagrams) Providing active “hands-on” architectural guidance and leadership through the entire lifecycle of development projects Performing third-party vendor assessments Developing and leading proof-of-concepts projects Keeping fluent in the industry and marketplace evolution--staying current with vendor product offerings and common and emerging data solutions in use across the industry; continuously learning new data technologies and introducing these into the organization Cross-training peers and mentoring teammates Basic Qualifications : 10 years plus experience architecting and delivering end-to-end enterprise data solutions Experience with enterprise business data domains and use cases, especially Finance and HCM Wide experience across all areas of data architecture and data technologies, including: data integration, data design and modeling, data sharing and messaging, data lifecycle management, data governance, data mastering, big data platforms, enterprise data warehouses, BI & analytics, data science, AI/ML and predictive analytics Experience in data security and compliance Experience in Solutions Architecture methodology and practices Experience translating business requirements into conceptual and detailed technology solutions Proven track record of execution--driving results and meeting commitments. Experience with enterprise business data domains and use cases, especially Finance and HCM Wide experience across all areas of data architecture and data technologies, including: data integration, data design and modeling, data sharing and messaging, data lifecycle management, data governance, data mastering, big data platforms, enterprise data warehouses, BI & analytics, data science, AI/ML and predictive analytics Experience in data security and compliance Experience in Solutions Architecture methodology and practices Experience translating business requirements into conceptual and detailed technology solutions Proven track record of execution--driving results and meeting commitments. Expertise architecting and delivering end-to-end data solutions Proficiency in all areas of data architecture and data technologies, including: data integration, data design and modeling, data sharing and messaging, data lifecycle management, data governance, data mastering, big data platforms, enterprise data warehouses, BI & analytics, data science, AI/ML and predictive analytics Proficiency in data security and compliance Proficiency in Solutions Architecture methodology and practices Ability to translate business requirements into conceptual and detailed technology solutions Current with new technologies and vendor solutions available in the marketplace Fluency architecting and documenting architecture at multiple levels (high-level to detailed) and across multiple views (conceptual, logical, physical, data flow and sequence diagrams) Ability to perform third-party vendor assessments Ability to develop and lead proof-of-concepts Focused on delivering practical, working solutions (no ivory tower solutions) Strong collaboration skills and ability to establish and manage effective working relationships in a matrixed organizational structure Strong leadership skills Ability to “influence without authority” Strong consensus-building ability and negotiating skills Strong communication and executive presentation skills, both oral and written. Ability to communicate well to both technical and business audiences Thinks strategically Innovative thinking and embraces innovation by constantly seeking new or contrary ideas and approaches to what has been done in the past. Thinks big and broad, without being constrained by existing norms or business models. Results oriented, biased toward action Keeps fluent in new technologies and successful sharing with peers and introducing new technologies Chooses optimism and calls out cynicism and unproductive behavior Demonstrates stamina, resilience and perseverance under trying circumstances Required Education : BS Computer Science or related technology field Preferred Education : MS Computer Science or related technology field