Renewals Data and AI Operations Salesforce

InterviewGIG; United States; On-site; USD 90,000 - 130,000; Full time

Job summary

InterviewGIG is seeking a candidate experienced in ML modeling and data cloud integration to lead initiatives focused on predictive analytics. Your role will include owning the ML training dataset, conducting UAT, and ensuring data quality.

Ideal candidates will have hands-on experience with tools like Snowflake and Databricks, along with the ability to communicate findings through executive-level presentations. This opportunity offers the chance to collaborate across teams and drive strategic planning.

Qualifications

• Strong hands-on experience with major data tools like Snowflake and Databricks.
• Ability to deliver executive-level presentations on findings.
• Skilled in generating KPIs to measure effectiveness.

Responsibilities

• Lead field partnership program for recruiting and coordinating volunteers.
• Own the ML training dataset, ensuring quality and updates.
• Conduct data analysis and guide model refinement.

Skills

Hands-on access with Snowflake

Experience with Databricks

Proficiency in Notebook LLM

Familiarity with Sales Cloud

Knowledge of Data Cloud

Experience with Agentforce

Executive presentation skills

KPI generation skills

Job description

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

Data Cloud Integration

• 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

Strategic Partnership Planning

• 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

Skills Required

• 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