Manager, Revenue Operations and Scaled Services

What you'll do...

Position: Manager, Revenue Operations and Scaled Services

Job Location: 221 River Street, Hoboken, NJ 07030

Duties: Analyze and interpret multi-dimensional revenue signals and commercial data across Segment level business verticals to improve business efficiency within the SaaS Product Revenue Operations function, leveraging advanced analytical methodologies to translate pipeline indicators into actionable forecasting inputs. Develop and operationalize predictive and prescriptive Revenue Operations forecasting model solutions — including multi-segment customer lifecycle analysis— that meet business goals and drive commercial pipeline accuracy within go-to-market function. Apply comprehensive understanding of the data ecosystem — including Data Management, Data Quality Standards, Data Governance, Accessibility, Storage, and Scalability — to architect Salesforce CRM pipeline hygiene and structural data validation frameworks, ensuring audit-ready, high-fidelity Revenue Operations reporting across commercial and business development pipelines. Use advanced knowledge in Data Discovery tools including Google BigQuery, Data Lake, and SQL to write queries and analyze Revenue Operations data, identifying patterns, trends, outliers, and correlations across commercial datasets serving Commercial, Business Development, and Data partner teams. Support the identification and application of statistical and machine learning techniques — including predictive and prescriptive modeling methodologies — based on business requirements, to develop and continuously refine multi-segment Revenue forecasting models and enable data-led commercial decision-making. Assist in the planning, design, and implementation of exploratory data analysis and Revenue Operations analytics research projects, contributing to the establishment and continuous maturation of an AI/ML-integrated analytics foundation in partnership with the Data Foundations team. Translate business requirements into projects, activities, and tasks aligned to the overall Revenue Operations strategy and domain-specific commercial roadmap, including strategic tool integration initiatives for Marketo, Gong, and Salesforce, and developing scalable analytical artifacts supporting Canada and Mexico geographic market expansion. Define, design, and implement Revenue Operations-exclusive Key Performance Indicators and automated reporting pipelines using Tableau, Power BI, and Salesforce Analytics, replacing manual reporting workflows with self-service, real-time dashboards that track and convey KPIs including ARR growth, Deal Win Rate, Churn Rate, and Business Development Pipeline velocity to empower data-driven business and commercial decisions. Present to and influence cross-functional teams and senior business stakeholders using Tableau, Power BI, and Salesforce-integrated visualization frameworks, conveying clear and precise Revenue Operations performance narratives and commercial pipeline insights through audience-appropriate data storytelling and business communication. Conduct comprehensive Salesforce ERP data analysis by integrating financial, operational, and commercial datasets across enterprise resource planning modules, leveraging Salesforce reporting objects and custom data objects to surface cross-functional revenue insights and support data-driven strategic leadership planning. Demonstrate up-to-date expertise in Advance Analytics tooling — including generative AI applications such as ChatGPT and Native AI Models — and apply this expertise to the development and execution of Revenue Operations automation frameworks that reduce manual reporting overhead, minimize human-hour expenditure, and enhance forecasting accuracy across Customer commercial lifecycle.

Minimum education and experience required: Master’s degree or equivalent in Business, Marketing, Communication, Digital Media/Advertising, Engineering (any) or related area; OR Bachelor's degree or equivalent in Business, Marketing, Communication, Digital Media/Advertising, Engineering (any) or related area and 2 years of experience in campaign management, business development, market development, or related area.

Skills required: Experience with leading forecasting and revenue operations modeling based on exponential triple smoothing, weighted moving average, linear regression, Python prophet for demand planning to develop daily, weekly, monthly and fiscal volume analytics and forecasting. Experience with leveraging Google BigQuery, Trino SQL for exploratory data analysis for Data Lake, Salesforce, New Tools Adoption and Analytics and data source automation and scheduling scripts. Experience with gauging business metrics and key performance indicators for mean absolute percent error, day of the week distribution, statistical significance and power analysis to strategize and improvise performance. Experience with planning and executing hybrid strategies to fit the function area pattern for forecasting with predictive analytics and A/B testing to measure performance. Experience with configuring and analyzing what-if scenarios and extrapolation of impact based on various annual seasonality events on business performance with generating correlation with marketplace sellers’ data and various relevant business metrics. Experience with analyzing trends, seasonality, drivers, root-cause complexities to calibrate, implementing forecasting and capacity planning and providing recommendations to business teams. Experience with bridging communication with cross-functional stakeholders for Business Development Pipeline and CRM insights using charts and deck presentations between business and technical stakeholders by generating self-service dashboards. Experience with generating automated dashboards based on databases by data mining for Data Management, Data Quality, Annual Recurring Revenue, Deal Win Rate, Churn Rate and analyzing to populate results data tables to be utilized in Tableau, MS Power BI and Looker. Experience utilizing MS Excel Advanced with macros to handle large datasets, with Charts, Pivot tables, Vlookups, linear regression, and ETS, WMA, Linear regression, Python Prophet forecast techniques, Prescriptive Analytics, Generative AI, ChatGPT, Revenue Operations, Multi-segment Forecasting and Customer Lifecycle. Employer will accept any amount of experience with the required skills.

Salary Range: $96,000/year to $186,000/year. Additional compensation includes annual or quarterly performance incentives.

Benefits: At Walmart, we offer competitive pay as well as performance-based incentive awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty and voting. Other benefits include short-term and long-term disability, education assistance with 100% company paid college degrees, company discounts, military service pay, adoption expense reimbursement, and more.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart.com.

Wal-Mart is an Equal Opportunity Employer.

#LI-DNI #LI-DNP

Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.