Senior Manager - Finance Data Analytics

Sr Manager Finance Data Analytics

POSITION SUMMARY

Vertiv is building a Finance Data & AI Analytics capability in Pune.

This Senior Manager will lead a team of four and own the delivery, governance, and continuous improvement of Finance BI reporting and AI/ML analytics across global and regional Finance stakeholders.

The role combines team leadership, data product management, and practical AI/ML enablement to simplify reporting, eliminate manual work, and accelerate insight generation across the company.

 

Key Responsibilities

Leadership & Delivery

• Lead and develop a high‑performing analytics team in Pune.
• Manage intake, prioritization, and delivery of BI and analytics initiatives for global Finance partners.
• Oversee delivery of governed data products, ensuring accuracy, consistency, and reliability.

Data, Reporting & BI

• Drive the development and enhancement of finance dashboards, KPIs, and standardized reporting.
• Ensure datasets and models follow enterprise governance, documentation, and certification standards.
• Partner with Finance stakeholders to translate business needs into scalable data solutions.
• Champion the adoption of machine learning, anomaly detection, forecasting, and LLM‑based automation.
• Establish foundations for model development, testing, deployment, and monitoring.
• Identify opportunities to replace manual workflows with intelligent automation.
• Run a structured intake and prioritization process with clear SLAs and communication.
• Standardize KPI definitions and retire conflicting or redundant reporting.
• Promote modern development practices, data quality, and performance optimization.
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AI, ML & Advanced Analytics

Governance & Continuous Improvement

Qualifications

Minimum

• Bachelor’s degree in engineering, Finance, Information Systems, Data Analytics, or a related field.
• 12 to 16 years in analytics, data platforms, BI, or related fields, including leadership experience.
• Strong working knowledge of SQL, cloud data platforms, and BI tools.
• Demonstrated experience delivering analytics in a complex, multi‑stakeholder environment.
• Proven ability to lead teams, manage priorities, and drive decision‑ready insights.

Preferred

• Background supporting Finance functions (FP&A, Operations Finance, Commercial Finance).
• Experience applying AI/ML/LLM techniques to real business problems.
• Excellent communication and executive‑ready presentation skills.

 

Travel Requirements: 10-15% 

 

Experience Level

Senior Level