A global leader in digital twin software, this company enables enterprises to autonomously digitize field assets using drone technology. Its platform facilitates data capture, analytics, and modelling for managing infrastructure like telecom towers and renewable energy installations. With a focus on operational efficiency and safety, it serves industries such as telecommunications and energy.

Job Description for Operations Excellence Manager

Job Title: Senior Operations Analyst ( Operations Excellence Manager)

Location: Pune, India Baner Pune

Reporting to: Director of Operations

Position Summary

Our client 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.

- Foster a collaborative and accountable team environment.

What We're Looking For

We are not looking for someone who only knows the theory of KPIs and SLAswe want a hands-on operator who has built and run processes at scale.

We're open to candidates with:

- An MBA and 4 to 5 years of relevant operations experience, OR

- 8 to 10 years of direct, hands-on operations experience without an MBA

More importantly, we value:

- Trustworthiness, good judgment, and emotional intelligence

- A collaborative and solution-oriented mindset

- The ability to clearly communicate ideas and drive outcomes

- A personality fit that aligns with our culture well support your growth if you bring the right attitude and aptitude

Qualifications

Basic Requirements

- 5+ years in an operations management or analyst role in a tech or software company

- 2 to 3 years of experience in 3D data annotation or related fields

- Bachelor's degree in IT, Computer Science, Data Science, or similar

- Proficiency in tools like Jira Service Management, and workflow tracking dashboards

- Strong communication skills in English (written and verbal)