GM/AVP - Artificial Intelligence and Analytics

About the Role:
We are looking for a highly entrepreneurial Analytics & AI leader to build and lead the Analytics & AI charter for our Growth & Customer Lifecycle Management (CLM) function.
This role is for a go-getter and builder — someone who has demonstrated the ability to start with an ambiguous business problem, build solutions from scratch, and turn data, analytics, AI, and technology into measurable business outcomes.
The ideal candidate would have spent a significant part of their career being hands-on and building things themselves — analytics frameworks, models, dashboards, automation, AI/GenAI solutions, or even teams and capabilities from the ground up. As the role evolves, they will be responsible for leading a team, setting the analytics roadmap, and scaling these capabilities across Growth and CLM.
You should be equally comfortable discussing business problems with senior stakeholders, writing Python/SQL, experimenting with LLMs and AI tools, and coaching a team to build scalable solutions.
Key Responsibilities:
Build and lead the Analytics & AI charter for Growth and CLM, defining the roadmap, priorities, and areas of impact.
Identify high-impact business problems and independently take them from problem definition → solution design → build → implementation → measurement → optimization.
Build analytical and AI capabilities from the ground up across customer segmentation, propensity, targeting, retention, campaign optimization, and growth analytics.
Drive the Data → Insights → Action → Measurement → Optimization lifecycle for key business initiatives.
Build scalable dashboards, tracking frameworks, automated reporting systems, and analytical products that enable faster decision-making.
Leverage Python, SQL, LLMs, APIs, GenAI, Agentic AI, and automation to solve business problems and eliminate manual processes.
Build AI-powered workflows and agents to automate MIS, reporting, analysis, operational processes, and recurring decision-making.
Experiment rapidly with emerging AI capabilities and identify where they can create meaningful business impact.
Partner closely with Product, Business, Marketing, Risk, and Operations teams to embed analytics and AI into business decisions.
Establish analytical frameworks and reusable solutions that can be scaled across multiple use cases and teams.
Define success metrics, design experiments, measure incremental impact, and continuously optimize outcomes.
Build, mentor, and lead a high-performing analytics team, creating a culture of ownership, experimentation, speed, and strong execution.
Raise the team's technical and problem-solving bar while remaining sufficiently hands-on to guide complex analytical and AI problems.
What We're Looking For:
We are looking for someone who has a builder's mindset — not someone who is comfortable only managing an existing analytics setup.
8–12 years of experience across Analytics, Data Science, Product Analytics, Business Intelligence, or related areas.
A track record of building capabilities, products, frameworks, or teams from scratch.
Strong hands-on proficiency in Python and SQL.
Strong understanding of AI/ML, GenAI, LLMs, Agentic AI, APIs, and workflow automation.
Demonstrated experience taking AI/analytics ideas from experimentation to production or business adoption.
Strong experience in customer, growth, product, campaign, segmentation, propensity, retention, or CLM analytics.
Experience with BI and visualization tools such as Power BI, Tableau, Looker, Metabase, Superset, etc.
B.Tech/M.Tech from a Tier 1 institute preferred.
Experience in fintech, payments, lending, banking, or consumer internet preferred.
Strong ability to work with large and complex datasets and convert them into actionable business decisions.
Excellent communication and stakeholder management skills.
What Will Set You Apart:
You are a 0→1 builder who enjoys creating something where there is no established playbook.
You have moved from doing the work yourself to building and leading teams, without losing your technical depth.
You naturally ask, “Can we automate this?”, “Can we build this better?” or “What is the actual business impact?”
You actively experiment with new AI/LLM capabilities and are able to separate interesting technology from genuinely useful business applications.
You are comfortable with ambiguity and can create structure where none exists.
You have a strong bias for action and are willing to roll up your sleeves when required.
You can challenge business teams with data, while also understanding the realities of execution.
You know how to build scalable systems and teams, rather than solving every problem as a one-off analysis.
You have demonstrated the ability to influence senior stakeholders and drive adoption of analytics-led decisions.
Key Outcomes:
Build and scale a high-impact Analytics & AI function for Growth & CLM.
Establish scalable analytics, AI, automation, and experimentation capabilities from the ground up.
Significantly reduce dependency on manual MIS, reporting, and repetitive analysis.
Improve customer acquisition, targeting, engagement, retention, and campaign effectiveness.
Identify and quantify new growth opportunities through data and AI.
Enable faster and better decision-making across business teams.
Build and develop a strong analytics team with high ownership and technical depth.
Deliver measurable business impact, rather than analytics output alone.
The Opportunity:
This is an opportunity for someone who has built before and is now ready to build at scale — taking ownership of a critical business charter, building the team and capabilities around it, and using Analytics, AI, and automation to fundamentally change how Growth and CLM operates.

Work arrangement
No