Staples is looking to measure, understand, and optimize the performance of their AI-driven sales enablement, powered by Salesforce Agentforce, Tableau Next, and Data Cloud.
Requirements
- Strong proficiency in Tableau (preferably Tableau Next) and Salesforce Data Cloud.
- Advanced SQL and Snowflake skills, with the ability to query, model, and validate large datasets.
- Experience designing KPI frameworks and performance dashboards that drive measurable outcomes.
- Solid understanding of AI analytics concepts, such as LLM performance, prompt evaluation, grounding, and correlation vs. causation.
- Comfort working with structured and semi-structured data across multiple cloud environments.
- Prior experience with Salesforce Agentforce, Einstein, or Tableau AI.
- Exposure to A/B testing, experimentation, or predictive modeling frameworks.
Responsibilities
- Lead the analytical vision and roadmap for AI agent performance, designing the end-to-end measurement strategy across Agentforce, Tableau Next, and Data Cloud.
- Define key performance indicators (KPIs) for AI agents, focusing on adoption, efficiency, accuracy, and business impact.
- Develop and maintain advanced dashboards in Tableau Next and Salesforce, providing scalable, trusted reporting for leadership and cross-functional teams.
- Analyze agent performance trends to uncover optimization opportunities, and influence evolution of prompts, data inputs, and agent logic.
- Partner with Data Engineering and AI Development teams to ensure reliable data pipelines and visibility into agent activity.
- Translate analytics into action by delivering concise, compelling insights to senior leadership that drive strategic decisions.
- Establish and enforce data governance practices to ensure agent performance metrics are consistent, explainable, and trustworthy.
Other
- 6–10 years of analytics experience, including at least 2 years in a leadership or mentorship capacity.
- Strategic mindset, able to prioritize and manage competing projects in a fast-paced environment.
- Experience collaborating cross-functionally with Product, Engineering, and Operations teams.
- Exceptional presentation and storytelling skills, with a talent for turning data into decisions.
- Inclusive culture with associate-led Business Resource Groups
