Senior Operations Analyst

vHive is looking for a highly capable and proactive Operations Manager to join our growing team in Pune. This role is central to managing and optimizing day-to-day operations tied to our digital twin product delivery , ensuring high-quality execution at scale.

We are not looking for just a data analyst, we need someone with real operations leadership experience who can manage vendors, optimize workflows, and confidently make operational decisions. The ideal candidate thrives in a data-driven environment, understands the bigger picture of business operations, and brings a hands-on approach to performance tracking, process improvement, and vendor coordination.

This is a high-trust position: you will take ownership of a key system used to monitor and report company-wide operational KPIs. You will be responsible for maintaining smooth operational performance and promptly raising alerts through the appropriate channels when needed.

Key Responsibilities

1. Vendor Management

• Establish and maintain strong relationships with vendors to ensure timely, high-quality data product deliveries.
• Manage vendor work orders and purchase orders, ensuring compliance with service-level agreements (SLAs).
• Collaborate with vendors on delivery schedules and project priorities.

2. Workflow & Process Improvement

• Identify bottlenecks and implement enhancements to streamline workflows.
• Own and continuously improve the PO system for data annotation work.
• Develop dashboards and tools for operational visibility and issue resolution.
• Drive end-to-end process improvements with a focus on speed, accuracy, and scalability.

3. Performance Monitoring & Reporting

• Develop, monitor, and report on key performance indicators (KPIs) and SLAs.
• Generate insights and reports that support strategic decision-making.
• Track team and vendor performance to support continuous improvement efforts.
• Manage resource allocation to align with project timelines and quality goals.

4. Data-Driven Decision Making

• Use data and predictive analytics to anticipate workflow challenges and proactively address them.
• Collect, analyze, and present operational insights for continuous improvement.
• Collaborate with cross-functional teams to apply data insights across departments.

5. Leadership & Ownership

• Take ownership of workflow management systems and contribute to their evolution.
• Ensure all operational practices align with broader business objectives.
• Lead with confidence, especially in ambiguous or high-pressure situations.