About The Role

Join PlayStation's Commercial Development team as a Staff Business Analyst. In this role, you will translate commercial opportunities into business requirements, collaborate with various teams, and influence senior stakeholders. You will lead complex business analysis for global AI/ML initiatives and mentor team members in business analysis and product development methodologies. The position offers a range of benefits, including private medical and dental insurance, flexible working policy, and discounts on PlayStation and Sony products.

Lead complex business analysis for global, high-impact AI / ML initiatives across digital commerce, personalization, subscriptions, and publishing operations.
Translate complex commercial objectives into actionable business requirements with measurable outcomes and partner with product, engineering, and data science teams.
Influence senior stakeholders through structured problem framing, financial reasoning, and data-informed recommendations, and mentor team members in AI / ML business analysis.
Executive-level communication skills, able to explain complex concepts clearly and credibly, backed by data-driven arguments
Define decision logic before proposing solutions
Strong experience working alongside data science / machine learning teams, including:
Deep understanding of experimentation and measurement
8+ years of experience in Business Analysis within digital commerce, subscriptions or retail businesses
Evaluating model applicability and limitations
Defining requirements for AI / ML enabled solutions
Commercial mindset with comfort discussing unit economics, marginal vs absolute lift, and ROI
Challenge assumptions and build arguments using data and financial reasoning
Decompose vague business problems into structured analytical questions and clear business requirements
Partner with product, engineering and data science teams to design and deliver commerce and tooling solutions
Translating model outputs into business decisions
Map complex business process and direct teams through process improvement and automation initiatives
Experience operating in global, cross-functional environments
Experience with personalization, next best action frameworks, or decision automation
Familiarity with AI governance, ethics, and responsible data practices

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