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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Group Leader - Revenue Intelligence & Seller... - **Company:** Intuit Inc. - **Location:** Atlanta, GA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Customer Data Management, Information Engineering, Data Governance, Data Integrity, Data Visualization, Python (Programming Language), Machine Learning, Power BI, Cloud Services, Salesforce.Com, SQL Databases, Tableau (Software), Snowflake, Generative AI, Information Technology, Looker Analytics - **Published:** July 30, 2026 - **Apply:** https://www.juju.com/job/00000000gkni7y ## About the Role + Bachelor's degree in Business, Analytics, Engineering, Computer Science, Mathematics, or a related field. + MBA or advanced degree a plus, not required. Experience + 6-8 years in sales analytics, sales/revenue operations, or analytics-adjacent product roles. + 2-4 years leading teams, including experience managing people managers or senior individual contributors. + Track record delivering AI/ML-enabled or advanced analytics solutions with measurable adoption and business impact. + Experience operating within a broader analytics/sales-ops strategy set by more senior leadership, rather than owning enterprise strategy independently. Technical Expertise + Working knowledge of descriptive, predictive, and prescriptive analytics and where each applies to seller workflows. + Familiarity with AI/ML applications in forecasting, prioritization, segmentation, and customer intelligence. + Proficiency with SQL and Python or R sufficient to review and challenge team output. + Experience with BI/visualization tools (Tableau, Power BI, or Looker) and CRM platforms (Salesforce or equivalent). + Exposure to cloud data platforms (e.g., Snowflake, AWS/Azure/GCP) sufficient to partner effectively with data engineering. Leadership & Professional Skills + Strong structured problem-solving; comfortable operating with incomplete information. + Effective communicator with senior stakeholders - able to translate technical output into a business recommendation. + Demonstrated ability to lead through managers rather than defaulting to individual execution. + Bias for action balanced with judgment on when to escalate risk or ask for direction from the VP. ## Description The Group Leader - Revenue Intelligence & Seller Experience leads the team responsible for embedding predictive, prescriptive, and generative AI-powered intelligence into the seller workflow across Commercial Sales. This leader owns execution of the intelligence and seller-experience roadmap set with the VP, Sales Operations & Enablement - translating strategy into an operating plan delivered through a team of people managers. The role sits at the intersection of analytics, CRM enablement, and seller experience design. It combines technical fluency with strong people leadership: the leader manages managers, not just individual contributors, and is accountable for the adoption and business impact of the tools their teams build - not just their delivery. Responsibilities Roadmap Execution + Own execution of the Revenue Intelligence & Seller Experience roadmap, in partnership with the VP, translating strategic priorities into quarterly operating plans. + Prioritize investment across the team's five functional areas (Revenue Intelligence, Seller Performance Analytics, Sales Processes & Workflows Automation, Seller Experience Transformation, Reporting & Business Performance) based on seller impact and effort. AI/ML & Analytics Portfolio + Direct a portfolio of predictive and generative AI solutions: next-best-action models, churn/growth propensity, segmentation, generative sales copilots, and performance dashboards. + Partner with data science, engineering, and analytics partners to build, scale, and govern these products; balance new development with platform stability and data integrity. Seller Experience & Platform Ownership + Own the seller-facing experience layer across CRM and digital sales tools, ensuring integrations (Salesforce and related platforms) reduce noise and surface the highest-impact actions. + Monitor adoption and usage of intelligence tools in the field; treat low adoption as a product problem to solve, not a training gap to escalate. Team Leadership + Lead and develop 5 people managers (M2) across Revenue Intelligence, Analytics, Automation, Seller Experience, and Reporting; build a bench for future people-leadership roles. + Set clear priorities and performance expectations across a 20+ FTE org; run agile, sprint-based delivery cadences. + Recruit and retain analytical and product talent in a competitive market. Stakeholder Partnership + Translate model outputs and platform capabilities into clear recommendations for Sales, Sales Enablement, and Sales Ops leadership. + Represent the function in VP-level planning cadences; flag tradeoffs and risks proactively rather than waiting to be asked. + Partner with Marketing, Finance, and Strategy on forecasting, campaign performance, and planning inputs. Data Governance + Ensure data quality, governance, and privacy compliance across CRM, transactional, and customer data used by the team's models. + Partner with IT/data engineering on integrations across the data platform stack (e.g., Snowflake, cloud environments). Reporting & Insights + Define and track KPIs for both seller adoption and business impact (pipeline velocity, win rate, productivity, seller NPS). + Deliver executive-ready reporting on the value realized from the team's initiatives. ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [The shadows that follow the AI generative models](https://www.wearedevelopers.com/videos/624-the-shadows-that-follow-the-ai-generative-models) - [The AI-Fluent Team: A Playbook for Driving Enterprise AI Transformation](https://www.wearedevelopers.com/videos/100068-the-ai-fluent-team-a-playbook-for-driving-enterprise-ai-transformation) ## Related Articles - [Got AI ideas but no money? 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