Translate the Data & Intelligence strategy into technical strategy, target architecture, principles, and lifecycle standards.
Chair the architecture review forum, publish decisions, track adoption, and enforce conformance across engineering organizations.
Define reusable platform and domain boundaries, data contracts, golden paths, model evaluation, experimentation, observability, reliability, cost, and lifecycle standards.
Lead architecture and delivery for complex data, machine learning, intelligence, measurement, activation, and enterprise decision-data initiatives.
Author proposals, reference designs, and prototypes, and work directly with engineering and data science teams to remove critical blockers.
Partner with security, privacy, legal, governance, and responsible-AI teams to embed controls throughout data and ML systems.
Rationalize duplicative capabilities and improve interoperability across SIE’s data and machine learning landscape.
Advise senior executives on technical investments, tradeoffs, emerging capabilities, risks, and annual planning.
Define measures for adoption, reuse, time-to-action, quality, reliability, safety, and cost.
Lead a community of Principal Engineers and mentor Principal, Staff, Senior engineers, architects, ML engineers, and data scientists.
Represent SIE’s data and machine learning direction in senior leadership, partner, and industry forums.
Requirements
15+ years of experience in software, data, or machine learning engineering, including 9+ years leading architecture and delivery of large-scale complex systems.
Proven record of authoring architectures, standards, or platforms adopted and sustained across multiple organizations.
Experience taking data, ML, or decisioning systems serving tens of millions of consumers into production and operating them at scale.
Experience chairing or serving as the deciding technical voice in architecture review forums spanning multiple engineering organizations.
Deep expertise in at least two areas including reusable data products, semantic and metadata layers, data contracts, ML platforms, lifecycle management, evaluation, decisioning, real-time signals, distributed inference, activation platforms, experimentation, causal measurement, generative AI, retrieval, agentic systems, responsible AI, privacy, or technical governance.
Strong command of distributed systems, cloud, data architecture, APIs, security, reliability, observability, and performance engineering.
Ability to influence senior executives, engineering and product leaders, and cross-functional partners without direct authority.
Outstanding written communication and experience leading through technical documents.
Experience mentoring Staff, Principal, or similarly senior technical professionals.
Master’s degree in Computer Science, Machine Learning, Engineering, or a related discipline, or equivalent experience.
Preferred experience applying data and ML in gaming, entertainment, media, digital commerce, or other large-scale consumer ecosystems.
Preferred experience with personalization, recommendations, customer or content intelligence, experimentation, predictive decisioning, shared data or ML platforms, feature/vector/graph/semantic/knowledge platforms, AI gateways, LLMOps, or translating research into production capabilities.
Contributions through open source, patents, publications, standards, or conference talks are a plus.
Benefits
Top-tier benefits include medical, dental, vision, matching 401(k), paid time off, wellness programs, and employee discounts on Sony products.
The role may be eligible for a bonus package.
The role is subject to Sony Interactive Entertainment’s hybrid working policy, with individual arrangements varying by location and role factors.
Salary: $304k - $456k/yr
PlayStation Global
At PlayStation Global, we focus on creating user-friendly solutions that simplify processes, improve efficiency, and empower teams to succeed.