05 Nov
|
Algoworks
|
Noida
Director Revenue Operations & Intelligence Company: Algoworks Job Location: Noida, Uttar Pradesh, India Employment Type: Full-time Experience Required: 5 years Algoworks is seeking an experienced Director Revenue Operations & Intelligence to strengthen its revenue management, commercial performance, and go-to-market operations. The role involves developing executive-level revenue insights, improving sales forecasting, optimizing pipeline performance, establishing CRM governance, and aligning Sales, Marketing, Finance, and Delivery teams. The candidate will drive strategic revenue initiatives, improve operational processes, and leverage analytics, automation, and AI to enhance business performance and revenue predictability.
Requirements: 10 years of experience in Revenue Operations, GTM Operations, Sales Operations, Commercial Operations, Revenue Intelligence, or Commercial Strategy At least 5 years of experience in senior roles involving revenue analysis, commercial operations, or cross-functional revenue management Strong understanding of complex B2B revenue models, pipeline management, forecasting, bookings, backlog, and revenue realization Solid commercial and financial acumen Deep working knowledge of Salesforce from a Revenue Operations perspective Understanding of Salesforce data models, workflows, governance, integrations, and user adoption Experience with marketing automation and GTM platforms such as Pardot, Marketing Cloud Account Engagement, or Amplemarket Advanced Excel skills and experience with BI platforms such as Power BI Experience defining business metrics, analytical frameworks, GTM processes, and data standards Ability to develop executive-level reports and translate analysis into actionable recommendations Excellent stakeholder management and communication skills Ability to influence senior executives and cross-functional teams without direct authority Strong process design, analytical, prioritization,
and problem-solving capabilities Bachelor's or Master's degree in a relevant discipline Responsibilities: Develop integrated and forward-looking views of pipeline, bookings, backlog, forecasts, revenue, and customer growth Analyze revenue movements, business drivers, emerging risks, and growth opportunities for executive leadership Evaluate pipeline health, coverage, conversion rates, sales velocity, deal slippage, and forecast risks Analyze commercial performance across customers, service lines, markets, geographies, and revenue streams Recommend strategies to improve commercial performance and revenue predictability Establish standardized definitions for pipeline stages, opportunity categories, forecast classifications, and revenue metrics Identify process gaps, inefficient handoffs, duplicated efforts, and manual activities across the revenue lifecycle Redesign business processes and implement operational controls and governance frameworks Align Marketing activities with qualified pipeline, lead quality, funnel conversion, attribution, and revenue outcomes Provide Sales teams with pipeline, forecasting, conversion, and account performance insights Connect commercial forecasts with bookings, backlog, and revenue realization in coordination with Finance Establish consistent commercial reporting and data standards across Sales, Marketing, Alliances, and Finance Oversee the business effectiveness, data quality, governance, and adoption of the GTM technology ecosystem Define Salesforce standards for opportunity management, lead data, campaign tracking, workflows, reporting, and user adoption Collaborate with Salesforce, BI, data, and technology specialists to implement scalable system improvements Lead strategic revenue initiatives focused on improving visibility, predictability, and operational efficiency Identify opportunities to use analytics, automation, and AI in forecasting, data quality, and decision-making Influence senior leadership and drive cross-functional business improvements .
Industry
IT Services & Consulting
📌 Director Revenue Operations & Intelligence (Noida)
🏢 Algoworks
📍 Noida