VP, Enterprise Architecture

1 day ago

Culver City, United States Sony Pictures Entertainment, Inc Full time

The VP, Enterprise Architect role, reporting to the Head of Enterprise Architecture, is a change and strategic leader, who will be key to uplifting SPE Architectural maturity and value by executing an effective Enterprise Architecture Program. This role will be responsible for developing and executing architecture strategies for the SPE enterprise with a focus on Data and Integration domains.

Core Responsibilities:

  1. Develop the Data/Analytics, Integration Strategies and platform architectures.
  2. Develop the Data Governance Operating Model.
  3. Participate in Data Transformation Projects.
  4. Support the EA Program Activities and Initiatives (Portfolio Rationalization, Capability Analysis, Target State Architecture, Architecture Review Board).

Leadership & Influence:

  1. Partner with multiple SPE stakeholders including IT and Business Executives, Architects, Application Developers, System Engineers, Information Security, Procurement, CDO, Legal and Privacy. Work across Sony Global entities to align with Corporate driven strategies.
  2. Bring a demonstrated track-record of delivering highly matrixed programs through direct management and indirect sponsorship where operating as a key stakeholder. This role requires an established leader who will be consistently effective across multiple programs and who will develop and maintain metrics to communicate program health aligned with business value delivered.
  3. As a change and thought leader, drive and influence stakeholders to adopt a cost-effective, innovative, and modernization mindset through setting architecture guidance, communication, and governance.

Requirements:

  1. BS/MS in Data Analytics or Computer Science.
  2. 15+ years in IT with a focus on Data, Security, Integration.
  3. 8+ years of experience with technology delivery positions, analytics and reporting, and Data warehouse/Lake.
  4. 5 years’ experience with Enterprise Architecture Program (Architecture Review Board, Pattern, Standards, Technology Catalog, Business Application Portfolio Rationalization, Change Management process, Risk Management).
  5. 5+ years of experience with data engineering/modeling, consulting/training skills, information security, data governance, architecture strategy development and executive communication.
  6. AWS/GCP/Azure Certifications preferred.
  7. Experience using Collibra, SAP Datasphere, Erwin, Excel, Java, Python, LLM, Informatica, Datastage, Alteryx, Jira, ServiceNow, Sharepoint, Confluence.
  8. Reporting & Analytics Skills (Power BI, Tableau, Excel).
  9. Data warehouse/Lake engineering skills.
  10. 2 years understanding data mesh architecture.
  11. Data Modeling skills to represent organization data.
  12. Strong collaboration skills at building cross-functional teams.
  13. Effective presentation skills capable of addressing executive as well as technical audiences.

Industry Experience:

  1. Media and Entertainment with experience in modern data management methods. Banking/Finance/Healthcare/Retail background acceptable.

Technical Skills:

  1. The successful candidate will be a seasoned Enterprise Architect with cross-domain skills and have practiced modern methods in depth in the Data, Analytics, and Integration domains with sufficient understanding of Cloud, Infrastructure, Security, and Application domains.
  2. Coordinate and develop the Data Architecture Strategy for SPE addressing data management, data platforms, BI and analytics, and data governance.
  3. Participate in establishing data management capabilities such as metadata management, lineage, data governance, data discovery, data protection, and data quality.
  4. Experience establishing data ownership/stewardship/custodianship and be able to advise the creation of the data ownership model and responsibilities.
  5. Experience with data modeling and Information Architecture and be able to help curate information domains to enable federation of data governance responsibility (Collibra or comparable).
  6. Experience with data mesh and fabric architectures and bring best practices to implement (SAP Datasphere or comparable).
  7. Understand AI/ML technology to mature the DataOps and MLOps capabilities.
  8. Develop robust business cases for investments in data technology.
  9. Data Modeling capability and familiarity with Enterprise Data concepts.
  10. Involved in engineering data warehouses/data lakes (Snowflake, BigQuery, Redshift).
  11. Work with the Integration Platform teams to define the target multi-cloud integration strategy and design patterns, with a strong knowledge of public cloud and information security to design secure solutions that span multiple clouds.
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