Analytics & AI Lead (Growth / CLM) , Sr. Manager/DGM, SMB

Paytm; Dadri; On-site; INR 300,000 - 520,000; Full time

Job summary

Paytm is seeking an Analytics AI Lead for Growth CLM to build the data backbone, blending data science, AI, and automation to accelerate growth through faster insights.

The role requires strong Python/SQL, exposure to LLMs and agentic AI, and experience delivering dashboards and insights that drive business impact. Location is Delhi-NCR with a preference for Delhi, and a fast-paced fintech environment.

Qualifications

• 4+ years in Analytics, BI, or Data Science.
• Strong proficiency in Python and SQL.
• Hands-on with AI/ML, LLMs, Agentic AI, and workflow automation.
• Experience building dashboards and reporting frameworks.
• Excellent stakeholder management and communication skills.
• Fintech/payments/consumer internet experience preferred.

Responsibilities

• Own end-to-end analytics for Growth CLM initiatives.
• Convert data insights tracking optimizations to drive growth.
• Design dashboards, tracking frameworks, and performance monitoring for key metrics.
• Build AI- and Agentic AI-driven workflows to replace manual MIS and reporting processes.
• Leverage Python, LLMs, automation, and AI tools to simplify operations and improve productivity.
• Identify growth opportunities through data analysis and recommend interventions.
• Collaborate with Product, Business, Marketing, Risk, and Operations to enable data-driven decisions.
• Drive experimentation, measure impact, and continuously optimize performance.

Skills

Python

SQL

LLMs

Agentic AI

Dashboards

Stakeholder management

Education

B.Tech/M.Tech (Tier 1 college)

Job description

Job Description Analytics AI Lead (Growth / CLM)

Location: Delhi NCR (Preferred)

Experience: 4 8 Years (Flexible based on profile)

About the Role

We are looking for a high-impact Analytics AI professional to build the data and intelligence backbone for our Growth CLM function. This role goes beyond traditional analytics it combines data science, AI, automation, and business problem-solving to accelerate growth through faster insights and execution.

The ideal candidate should be equally comfortable working with data, building AI-led workflows, and partnering with business teams to drive measurable outcomes.

Key Responsibilities

• Own end-to-end analytics for Growth CLM initiatives.
• Convert Data Insights Tracking Optimizations to drive business growth.
• Design dashboards, tracking frameworks, and performance monitoring for key business metrics.
• Build AI- and Agentic AI-driven workflows to replace manual MIS and reporting processes.
• Leverage Python, LLMs, automation, and AI tools to simplify operations and improve productivity.
• Identify growth opportunities through data analysis and recommend actionable interventions.
• Work closely with Product, Business, Marketing, Risk, and Operations teams to enable data-driven decision-making.
• Drive experimentation, measure impact, and continuously optimize business performance.

Preferred Skills

• B.Tech/M.Tech from Tier 1 college
• 4+ years of experience in Analytics, Business Intelligence, or Data Science.
• Strong proficiency in Python and SQL.
• Hands-on experience with AI/ML, LLMs, Agentic AI, and workflow automation.
• Experience building dashboards and reporting frameworks.
• Strong analytical thinking with the ability to translate data into business actions.
• Excellent stakeholder management and communication skills.
• Fintech, payments, lending, or consumer internet experience is preferred.

What Were Looking For

• Strong problem-solving mindset.
• Ability to work in a fast-paced, high-growth environment.
• Passion for leveraging AI to transform business processes.
• Bias for execution and measurable business impact.

Working Model: Preferably 6-day working (5-day candidates may also be considered based on profile).

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.