Senior Manager, Data & AI Governance Architecture

Sony Corporation of America , located in New York, NY, is the U.S. headquarters of Sony Group Corporation, based in Tokyo, Japan. Sony's principal U.S. businesses include Sony Electronics Inc., Sony Interactive Entertainment LLC, Sony Music Entertainment, Sony Music Publishing and Sony Pictures Entertainment Inc. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the Play Station Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth.

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The Senior Manager of Data & AI Governance Architecture is a key leader within Sony HQ’s Digital Transformation (DX) division, operating as part of the Data Enablement function — a group chartered to advance Sony’s digital transformation by creating the discipline, trust, and accountability that make responsible data use scalable and sustainable.

This role consolidates and architecturally formalizes governance expectations across various governance domains including privacy engineering, metadata and classification, access governance, platform architecture, data quality, and AI governance, translating them into enterprise standards, reusable design patterns, and policy-as-code requirements embedded in platforms and workflows.

The Senior Manager partners with Platform Engineering, Systems Architecture, Legal/Privacy, Information Security, Product, PMO, and AI teams — along with Sony operating companies ( OpCos ) and business data producers — to design next-generation data and AI governance architectures and ensure adoption. This is a senior, high-impact role shaping Sony’s global data and AI landscape.

• Design the unified data & AI governance architecture, integrating privacy, metadata, access, lineage, DQ, security, and AI governance.
• Translate legal, privacy, security, and AI risks into operational control requirements aligned to enterprise data flow patterns.
• Define reusable architecture patterns and guardrails for compliant data and AI product development.

• Create enterprise rules and standards for data classification, access control, AI model data usage, quality expectations, lineage, and lifecycle transitions.
• Build lifecycle-aligned controls from data ingestion to deletion.
• Drive adoption of standards across DX.

• Define who is accountable for key governance decisions by establishing simple “who decides what” guidance so OpCos , product teams, and reviewers know how decisions flow.

• Work closely with the Operational Governance & Integration team to ensure governance blueprints become implemented and repeatable.

• Define maturity and success metrics; build clear scorecards to track progress.
• Communicate the governance model and results in concise, executive-ready narratives.

Honesty, trustworthiness and ethical conduct are material requirements for the responsibilities outlined above

Your qualifications and experience should include:

• 8–12+ years in data architecture, AI governance, privacy engineering, or enterprise data governance
• Experience designing enterprise data/AI governance architectures or lifecycle control frameworks
• Strong understanding of metadata systems, lineage, access governance, and data platform architecture
• Experience partnering with Legal/Privacy on personal data controls
• Strong experience writing technical governance standards and architectural guidelines
• Ability to influence senior stakeholders across engineering, architecture, AI/ML, privacy, and Op Cos
• Strong systems thinking and ability to connect governance to technical and product realities

• Experience in federated global organizations
• Fluency in Japanese

In addition to competitive pay and benefits, we offer an environment and culture that promotes Diversity, Equity, and Inclusion. We are committed to creating an inclusive employee experience…