AVP - Marketing Operations

Job Title: AVP - Marketing Operations(RevOps)

Location: Hyderabad | Work From Office (WFO)

Shift/Working Hours: UK Shift

Employment Type: Full-time

Company Overview:
NetCom Learning, a division of Sarder Inc., is a global leader in corporate learning and workforce development solutions. For over 28 years, we have helped organizations build future-ready workforces through instructor-led training, certifications, and digital learning solutions.We serve Fortune 1000 companies worldwide through strategic partnerships with Microsoft, AWS, Cisco, Google Cloud, Adobe, and other leading technology providers. As part of the Sarder Inc. ecosystem, NetCom Learning is committed to enabling organizations and professionals to stay ahead in today's rapidly evolving digital and AI-driven landscape.

About the Role:
We are seeking a strategic and hands-on AVP Revenue Operations to lead and scale our Revenue Operations function across Sales, Marketing, Customer Success, Technology, and Executive Leadership teams.

This role will be responsible for building a high-performing revenue engine through the alignment of people, processes, technology, analytics, and automation. The ideal candidate will bring deep expertise in Microsoft Dynamics 365 CRM, Marketo, Revenue Analytics, Forecasting, Data Governance, and GTM Operations, while acting as a trusted advisor to leadership on revenue growth and operational excellence.

What's in It for You (Leadership Role)

• Lead the complete Revenue Operations function for a global learning organization.
• Drive high-impact initiatives that directly influence revenue growth and business performance.
• Partner closely with executive leadership and contribute to strategic decision-making.
• Build and optimize scalable systems, processes, and automation frameworks.
• Lead cross-functional teams spanning Technology, Analytics, and Operations.
• Shape the future of Revenue Operations within a growing AI-driven organization.

What You Will Do:
GTM Strategy & Planning

• Define and execute the Revenue Operations strategy and roadmap.
• Prioritize initiatives based on business impact and revenue outcomes.
• Partner with executive leadership on GTM planning and execution.
• Translate operational insights into strategic recommendations.

Revenue Systems & CRM

• Own Microsoft Dynamics 365 CRM architecture and governance.
• Manage Marketo integration, lead lifecycle management, and automation.
• Govern lead management, attribution, and funnel optimization frameworks.
• Establish and maintain a single source of truth for revenue data.

Revenue Analytics & Reporting

• Manage forecasting, pipeline analytics, and performance reporting.
• Develop executive dashboards and revenue visibility frameworks.
• Improve attribution models and measurement capabilities.
• Support leadership and board-level reporting requirements.

Team Leadership

• Lead Technology & Automation teams.
• Lead Data & Analytics teams.
• Lead Operations & Enablement functions.
• Build a culture of accountability, innovation, and continuous improvement.

Process Optimization & Automation

• Simplify workflows and stakeholder experiences.
• Drive operational efficiency through automation initiatives.
• Identify opportunities for AI-powered process improvements.
• Improve productivity across revenue-generating teams.

Education & Experience

• Bachelor's degree in Business, Technology, Analytics, Marketing, or a related field.
• MBA or equivalent advanced qualification preferred.
• 10+ years of experience in Revenue Operations, Sales Operations, Marketing Operations, or Commercial Operations.
• Deep expertise in Microsoft Dynamics 365 CRM.
• Strong hands-on experience with Marketo and Marketing Automation.
• Experience with Power BI, DAX, Revenue Analytics, and Reporting.
• Proven experience building and optimizing GTM operating models.
• Experience leading cross-functional and high-performing teams.
• Strong executive stakeholder management capabilities.
• Demonstrated expertise in forecasting, pipeline management, and attribution modelling.