Senior Manager/DGM - AI and Analytics

Senior Manager/DGM - Analytics & AI – Growth/CLM (IC Role)

Experience: 8–12 Years

About the Role:

We are looking for a highly experienced Analytics & AI professional to drive data, analytics, and AI-led initiatives for our Growth & CLM function.

This is a hands-on individual contributor role for someone who can independently solve complex business problems using analytics, AI, automation, and technology. The role will involve working closely with business and cross-functional teams to identify opportunities, build analytical solutions, automate processes, and drive measurable business outcomes.

The ideal candidate should combine strong technical depth with strong business understanding and be comfortable taking an initiative from problem identification through solutioning, implementation, and impact measurement.

Key Responsibilities:

• Own complex analytics and AI problems across Growth and Customer Lifecycle Management (CLM).
• Translate business problems into analytical frameworks, solutions, and actionable recommendations.
• Drive the Data → Insights → Tracking → Optimization lifecycle for key business initiatives.
• Build dashboards, tracking frameworks, performance monitoring systems, and automated reporting solutions.
• Develop analytical and predictive models for customer segmentation, propensity, targeting, retention, campaign optimization, and growth opportunities.
• Build AI/GenAI/Agentic AI-powered workflows to automate manual MIS, reporting, analysis, and operational processes.
• Leverage Python, SQL, LLMs, APIs, and AI tools to build scalable solutions and improve productivity.
• Explore and implement emerging AI capabilities to solve business problems and enhance existing analytics workflows.
• Identify trends, patterns, and opportunities from large datasets and translate them into actionable business interventions.
• Design and execute experiments, measure incremental impact, and continuously optimize business performance.
• Work closely with Product, Business, Marketing, Risk, and Operations teams to understand requirements and embed analytics-led solutions into decision-making.
• Independently drive projects from problem definition → analysis/solution design → implementation → measurement → optimization.
• Build reusable analytical frameworks and automated solutions that can scale across multiple business use cases.

Preferred Skills & Experience:

• 8–12 years of experience in Analytics, Data Science, Business Intelligence, Product Analytics, or related roles.
• B.Tech/M.Tech from a Tier 1 institute preferred.
• Strong hands-on proficiency in Python and SQL.
• Strong understanding of AI/ML, GenAI, LLMs, Agentic AI, and workflow automation.
• Hands-on experience building solutions using LLMs, AI tools, APIs, and automation frameworks.
• Experience with dashboarding and BI tools such as Power BI, Tableau, Looker, Metabase, Superset, etc.
• Strong experience in customer analytics, growth analytics, segmentation, propensity modelling, campaign analytics, or CLM.
• Strong analytical and problem-solving capabilities with the ability to work with large and complex datasets.
• Ability to translate analytical findings into clear business recommendations and measurable outcomes.
• Strong communication and stakeholder management skills.
• Experience in fintech, payments, lending, banking, or consumer internet is preferred.

What We're Looking For:

• A strong hands-on IC who enjoys solving complex business problems through data and technology.
• Someone who can independently take ownership of ambiguous problems and drive them to closure.
• Strong combination of technical depth, analytical thinking, and business understanding.
• Someone who actively experiments with AI/LLMs and automation and can apply them to real business use cases.
• Ability to move beyond reporting and dashboards to insights, prediction, automation, and business impact.
• Strong execution mindset and comfort working in a fast-paced, high-growth environment.
• Proven ability to work effectively with senior stakeholders while remaining deeply hands-on.

Key Outcomes:

• Build scalable analytics and AI solutions for Growth & CLM.
• Reduce dependency on manual MIS and reporting through automation.
• Improve customer targeting, engagement, retention, and campaign effectiveness.
• Identify and quantify new growth opportunities through data.
• Enable faster, data-driven decision-making across business teams.
• Deliver measurable business impact through analytics, AI, and automation.