Hiring: Senior Data Product Owner Company: SCIENTIFIC GAMES Location: Pennsylvania, United States Job Posted Time: 2026-09-11 12:31:21 Target Skills & Keywords : Databricks, REST About the job Experience: •7+ years in data, analytics, or product, with deep hands-on ownership of product definition work end-to-end (people-management experience not required) Required Skills: •Own output quality across the full product definition lifecycle, from problem framing through Ready-to-Build handoff, on the highest-complexity opportunities •Set the standard for what a well-defined opportunity looks like — and demonstrate it directly in your own work •Make the call on what moves forward •Build repeatable methods and templates that Solutions Analysts can execute without your involvement in every decision •Author product definitions, business metric tables, and agent context specs for the highest-complexity opportunities •Lead deployment channel decisions — Databricks-native vs. Teams, Dynamics, or another end-user tool •Maintain the business context layer: metric definitions, metadata, and decision rules that keep AI products reasoning correctly •Represent product definition in cross-functional reviews with Platform Engineering and DS/ML Qualifications: •Bachelor’s degree in a relevant field •Product definition depth — can write a well-structured product spec, business metric table, and agent context document, and knows the difference between a complete one and one that causes problems downstream •Technical fluency without engineering scope — understands what Databricks, Teams, and Dynamics can do well enough to make deployment decisions, without reaching into Platform Engineering’s territory •Working-lead instinct — most effective close to the work, and sets standards by demonstrating them rather than directing others •Influence without authority — can shape how Solutions Analysts and peers approach their work through standards, documentation, and direct coaching, with no reporting relationship •Operating model discipline — manages the boundary with Platform Engineering and DS/ML cleanly, and holds that line under pressure •Hands-on experience defining AI/agentic products (semantic-layer or metadata-driven products) •Operational familiarity with Databricks, Microsoft Teams, and Dynamics as delivery channels •Authority To Set and enforce the Ready-to-Build standard for product definitions •Decide what product definition work moves forward to handoff Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!