Senior Data Product Lead: Define, Standardize & Deliver

SCIENTIFIC GAMES

Alpharetta (GA)

On-site

USD 120,000 - 180,000

Full time

14 days+
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Job summary

Scientific Games in Alpharetta, GA seeks a Working-lead in Data Products who owns product definition quality for the highest-complexity opportunities, from problem framing to Ready-to-Build handoff. This role demonstrates excellence directly in their own work, setting the standard for the team.

You will partner with Platform Engineering, Data Science/ML, and business stakeholders, craft product definitions, metrics, and agent context docs, and guide deployment channel decisions while maintaining

Qualifications

  • Bachelor’s degree required with 7+ years in data, analytics, or product
  • Demonstrated ability to write structured product specs, metrics, and context docs
  • Fluent in deploying or influencing Databricks, Teams, or Dynamics deployments
  • Hands-on, working-lead style; ability to set standards by example
  • Strong boundary management between Platform Engineering and DS/ML

Responsibilities

  • Own the highest-complexity opportunities from problem framing to Ready-to-Build handoff
  • Set the standard for well-defined opportunities and demonstrate it
  • Influence deployment channel decisions (Databricks-native, Teams, Dynamics)
  • Maintain business-context layer: metric definitions, metadata, decision rules
  • Lead cross-functional reviews with Platform Engineering and DS/ML
  • Provide direct coaching and standards to Solutions Analysts without direct reporting lines

Skills

Bachelor's degree
7+ years data/analytics/product
Product spec writing
Databricks knowledge
Teams deployment awareness
Dynamics deployment awareness
Influence without authority
Operating model discipline

Education

Bachelor’s degree in a relevant field

Tools

Databricks
Microsoft Teams
Microsoft Dynamics

Job description

Scientific Games in Alpharetta, GA seeks a Working-lead in Data Products who owns product definition quality for the highest-complexity opportunities, from problem framing to Ready-to-Build handoff. This role demonstrates excellence directly in their own work, setting the standard for the team.

You will partner with Platform Engineering, Data Science/ML, and business stakeholders, craft product definitions, metrics, and agent context docs, and guide deployment channel decisions while maintaining

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