Manager, Revenue Operations and Scaled Services

Walmart • Hoboken, NJ

11d • Onsite

About The Position

The Manager, Revenue Operations and Scaled Services analyzes multi-dimensional revenue signals and commercial data across business segments to improve efficiency in SaaS Product Revenue Operations. The role develops forecasting solutions, maintains high-quality Salesforce CRM pipeline data, and applies statistical, machine-learning, and advanced analytics methods to support commercial decision-making.

The position builds automated KPI reporting and self-service dashboards, conducts Salesforce ERP data analysis, and communicates revenue performance and pipeline insights to cross-functional teams and senior stakeholders. It also supports exploratory analytics research and AI/ML-integrated analytics, strategic tool integrations, and analytical work supporting expansion into Canada and Mexico. The role uses automation and generative AI applications to reduce manual reporting and improve forecasting across the customer commercial lifecycle.

Requirements

• Master’s degree or equivalent in Business, Marketing, Communication, Digital Media/Advertising, Engineering (any), or a related area; or a bachelor’s degree or equivalent in one of these areas and 2 years of experience in campaign management, business development, market development, or a related area.
• Experience with forecasting and Revenue Operations modeling using exponential triple smoothing, weighted moving average, linear regression, and Python Prophet for demand planning and daily, weekly, monthly, and fiscal volume analytics and forecasting.
• Experience using Google BigQuery and Trino SQL for exploratory data analysis involving Data Lake, Salesforce, new tools adoption and analytics, and data-source automation and scheduling scripts.
• Experience gauging business metrics and KPIs, including mean absolute percent error, day-of-week distribution, statistical significance, and power analysis, to strategize and improve performance.
• Experience planning and executing hybrid forecasting strategies using predictive analytics and A/B testing to measure performance.
• Experience configuring and analyzing what-if scenarios and extrapolating the impact of annual seasonality events on business performance, including correlations with marketplace sellers’ data and relevant business metrics.
• Experience analyzing trends, seasonality, drivers, and root-cause complexities to calibrate forecasting and capacity planning and provide recommendations to business teams.
• Experience communicating with cross-functional stakeholders about Business Development Pipeline and CRM insights using charts, presentations, and self-service dashboards.
• Experience generating automated database-based dashboards through data mining for Data Management, Data Quality, Annual Recurring Revenue, Deal Win Rate, and Churn Rate, and preparing results data tables for Tableau, MS Power BI, and Looker.
• Experience using advanced MS Excel, including macros, charts, pivot tables, and VLOOKUPs, to handle large datasets.
• Experience with ETS, WMA, linear regression, and Python Prophet forecasting techniques, prescriptive analytics, generative AI, ChatGPT, Revenue Operations, multi-segment forecasting, and customer lifecycle.

Responsibilities

• Analyze multi-dimensional revenue signals and commercial data across business segments to improve business efficiency and translate pipeline indicators into forecasting inputs.
• Develop and operationalize predictive and prescriptive Revenue Operations forecasting models, including multi-segment customer lifecycle analysis.
• Architect Salesforce CRM pipeline hygiene and structural data validation frameworks using data management, quality, governance, accessibility, storage, and scalability principles.
• Use Google BigQuery, Data Lake, and SQL tools to query Revenue Operations data and identify patterns, trends, outliers, and correlations.
• Support the selection and application of statistical and machine-learning techniques to develop and refine revenue forecasting models.
• Assist with planning, designing, and implementing exploratory data analysis and Revenue Operations analytics research projects in partnership with the Data Foundations team.
• Translate business requirements into projects and tasks aligned with the Revenue Operations strategy and commercial roadmap, including integrations for Marketo, Gong, and Salesforce and analytics supporting Canada and Mexico expansion.
• Define and implement Revenue Operations KPIs and automated reporting pipelines using Tableau, Power BI, and Salesforce Analytics, replacing manual workflows with self-service, real-time dashboards.
• Track and report KPIs including ARR growth, Deal Win Rate, Churn Rate, and Business Development Pipeline velocity.
• Present Revenue Operations performance narratives and commercial pipeline insights to cross-functional teams and senior stakeholders using data visualization and audience-appropriate communication.
• Analyze Salesforce ERP data by integrating financial, operational, and commercial datasets and using Salesforce reporting and custom data objects to support strategic leadership planning.
• Apply advanced analytics tools, including generative AI applications such as ChatGPT and native AI models, to develop Revenue Operations automation that reduces manual reporting, minimizes human-hour expenditure, and improves forecasting accuracy.

Benefits

• Medical, vision, and dental coverage.
• 401(k), stock purchase, and company-paid life insurance.
• Paid time off, including sick leave, parental leave, family care leave, bereavement leave, jury duty leave, and voting leave.
• Short-term and long-term disability.
• Education assistance, including 100% company-paid college degrees.
• Company discounts.
• Military service pay.
• Adoption expense reimbursement.
• Performance-based incentive awards and other benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager