Senior Data Product Owner: AI/Agentic Data Solutions

SCIENTIFIC GAMES; Pennsylvania; On-site; USD 120,000 - 160,000; Full time

Job summary

Scientific Games is seeking a Working-lead in Data Products who owns the definition quality for the most complex opportunities across the portfolio. You’ll drive problem framing, handoffs, and standards, partnering with Platform Engineering, Data Science/ML, and business stakeholders.

You will set the bar for what a complete product spec looks like and shape deployment decisions, while guiding Solutions Analysts through repeatable methodologies and clear documentation.

Qualifications

• Bachelor’s degree in a relevant field.
• 7+ years in data, analytics, or product, with deep hands-on ownership of product definition work end-to-end.
• Product definition depth – can write a well-structured product spec, business metric table, and agent context document.
• Technical fluency without engineering scope – understands what Databricks, Teams, and Dynamics can do well enough to make deployment decisions.
• 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.
• Operating model discipline – manages the boundary with Platform Engineering and DS/ML cleanly.

Responsibilities

• 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.
• Raise the judgment of Solutions Analysts through direct feedback, documented standards, and context.

Skills

Data analytics

Product definition

Stakeholder collaboration

Problem framing

Leadership without authority

Education

Bachelor’s degree in a relevant field

Tools

Databricks

Microsoft Teams

Dynamics

Job description

Scientific Games is seeking a Working-lead in Data Products who owns the definition quality for the most complex opportunities across the portfolio. You’ll drive problem framing, handoffs, and standards, partnering with Platform Engineering, Data Science/ML, and business stakeholders.

You will set the bar for what a complete product spec looks like and shape deployment decisions, while guiding Solutions Analysts through repeatable methodologies and clear documentation.