Senior Partner- Revenue Operations

RateGain; Dadri; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

RateGain Travel Technologies Limited is seeking a seasoned analytics leader to own the revenue analytics infrastructure, connecting CRM, ERP, and data sources into a unified analytical layer. You will build self-serve dashboards and AI-assisted insights to reduce ad-hoc reporting and drive forecast automation.

You will translate AI capabilities into practical use cases for RevOps and Finance, partnering with Sales, CS, Finance, and the CEO’s office to deliver decision-ready insights.

Qualifications

• 4–7 years of experience in analytics, revenue operations, or business intelligence.
• Demonstrated ability to work across structured and unstructured data from multiple systems.
• Interest in applying AI tools to real-world analytics challenges.
• Able to present data stories to senior leadership, not just build reports.
• MBA or equivalent preferred; engineering background a plus but not mandatory.

Responsibilities

• Own the revenue analytics infrastructure — connecting CRM, ERP, and third-party data sources into a unified analytical layer.
• Build and maintain self-serve dashboards and AI-assisted insight tools.
• Drive forecast automation — design and maintain models for pipeline risk, churn signals, and revenue projections.
• Translate AI capabilities (LLMs, generative BI, agent workflows) into practical analytics use cases for RevOps and Finance.
• Partner with Sales, CS, Finance, and the CEO's office to define data requirements and deliver decision-ready insights.
• Lead data quality initiatives — governance, deduplication, and enrichment across the revenue data ecosystem.
• Evaluate and onboard AI and analytics tools; run proofs-of-concept and drive adoption.

Skills

Data warehousing

AI/ML for analytics

SQL proficiency

BI tools

CRM data fluency

Stakeholder communication

Education

MBA or equivalent

Engineering background

Tools

BigQuery

Snowflake

Power BI

Tableau

Looker

Salesforce

Job description

RateGain Travel Technologies Limited is a global provider of AI-powered SaaS solutions for travel and hospitality that works with 16,000+ customers and 700+ partners in 100+ countries helping them accelerate revenue generation through acquisition, retention, and wallet share expansion.

RateGain today is one of the world’s largest processors of electronic transactions, price points, and travel intent data helping revenue management, distribution and marketing teams across hotels, airlines, meta-search companies, package providers, car rentals, travel management companies, cruises and ferries drive better outcomes for their business.

Founded in 2004 and headquartered in India, today RateGain works with 26 of the Top 33 Hotel Chains, 25 of the Top 30 Online Travel Agents, 4 of the Top 5 Airlines, and all the top car rentals, including 25 Global Fortune 500 companies in unlocking new revenue every day.

What will you do:

• Own the revenue analytics infrastructure — connecting CRM, ERP, and third-party data sources into a unified analytical layer
• Build and maintain self-serve dashboards and AI-assisted insight tools that reduce dependency on ad-hoc reporting
• Drive forecast automation — design and maintain models that surface pipeline risk, churn signals, and revenue projections with minimal manual intervention
• Translate AI capabilities (LLMs, generative BI, agent workflows) into practical analytics use cases for the RevOps and Finance teams
• Partner with Sales, CS, Finance, and the CEO's office to define data requirements and deliver decision-ready insights
• Lead data quality initiatives — governance, deduplication, and enrichment across the revenue data ecosystem
• Evaluate and onboard AI and analytics tools; run proof-of-concepts and drive adoption.

SKILLS & EXPERIENCE

• Data warehousing (BigQuery, Snowflake, or equivalent)
• AI/ML concepts applied to business analytics
• SQL proficiency (intermediate to advanced)
• Advanced analytics & BI tools (Power BI, Tableau, Looker)
• CRM data fluency (Salesforce preferred)
• Strong business acumen & stakeholder communication

What are we looking for:

• 4–7 years of experience in analytics, revenue operations, or business intelligence
• Proven ability to work across structured and unstructured data from multiple systems
• Demonstrated interest in applying AI tools to real-world analytics challenges
• Comfortable presenting data stories to senior leadership — not just building reports
• MBA or equivalent business education preferred; engineering background a plus but not mandatory

Equal Opportunity Employer

We are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status