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About the Role

This working-lead role owns product definition quality for the most complex opportunities within the Data Products portfolio, ensuring output quality throughout the entire lifecycle from problem framing to Ready-to-Build handoff. The focus is on generating insight and setting a high standard for the team through direct demonstration.

Responsibilities

• Own output quality across the full product definition lifecycle for the highest-complexity opportunities.
• Set and demonstrate the standard for well-defined opportunities through personal work.
• Make decisions on which opportunities move forward.
• Develop repeatable methods and templates for Solutions Analysts.
• Author product definitions, business metric tables, and agent context specs for complex opportunities.
• Lead decisions on deployment channels (e.g., Databricks-native, Teams, Dynamics).
• Maintain the business context layer, including metric definitions, metadata, and decision rules for AI products.
• Represent product definition in cross-functional reviews with Platform Engineering and DS/ML.
• Improve the judgment of Solutions Analysts through feedback, standards, and context.
• Ensure clean handoffs to Platform Engineering and define model requirements and constraints for DS/ML.

Requirements

• Bachelor’s degree in a relevant field.
• 7+ years in data, analytics, or product with end-to-end product definition ownership.
• Demonstrated depth in product definition, including writing well-structured product specs, business metric tables, and agent context documents.
• Technical fluency to make deployment decisions without engineering scope.
• Ability to set standards by demonstrating them, rather than directing others.
• Capacity to influence Solutions Analysts and peers through standards, documentation, and coaching without formal authority.
• Discipline in managing boundaries with Platform Engineering and DS/ML.
• Ability to obtain a gaming or other required license(s).
• Willingness to undergo background investigations or security checks.
• Consent to due diligence/background investigation.

Skills

• Product definition
• Data analysis
• Analytics
• AI/agentic products definition
• Databricks
• Microsoft Teams
• Microsoft Dynamics

Location

• Remote

Work Type

• Full-time

Experience Level

• 7+ years

Education Level

• Bachelor's degree

About the Company

• Scientific Games is the global leader in lottery games, sports betting and technology.
• The company is a partner of choice for government lotteries.
• Scientific Games offers cutting-edge backend systems, exciting entertainment experiences, and trailblazing retail and digital solutions.
• The company pioneers in data analytics and iLottery.
• Scientific Games combines innovation, performance, and security to advance the global lottery industry.

Equal Opportunity

• Scientific Games, LLC and its affiliates are engaged in highly regulated gaming and lottery businesses.
• Certain employees may be required to obtain gaming or other license(s), undergo background investigations or security checks, or meet specific standards dictated by law, regulation or contracts.
• SG is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.