Data and AI Operations Salesforce

Key Needs ML Modeling

• Lead field partnership program: recruit volunteers, prep input sheets, provide enablement
• Serve as program-level PM
• Own ML training dataset:
  Snowflake table creation, ongoing updates, and quality
• Evaluate ML output and guide model refinement
• UAT:
  Conduct data analysis and SME review of field inputs to identify new predictive elements

• Act as Renewals SME for Data Cloud integration
• Partner closely with Renewals Partners to define end-to-end data needs
• Work with ML deployment to translate business requirements into technical specifications
• Ensure stakeholder alignment, documentation, timelines, and cross-functional readiness
• Oversee data cleanliness, structure, and future AI/Agent model compatibility

• Work with Data, Analytics, DET teams to design the future needs for architectural support to support future AI/ML requests
• Advise on proper models and approaches
• Advise and enable field on nomenclature, conventions and how data is generated

• Hands-on access with Snowflake, Databricks, Notebook LLM, Sales Cloud, Data Cloud, Agentforce and other tools to build, test, access and UAT data and modeling
• Executive presentations to summarize findings and review roadblocks
• KPI generation on effectiveness of results