Manager
Posted Updated
Description
<p><b>Designation : Manager </b></p><p><b>Level : L4</b></p><p><b>Location : Chennai, Tamil Nadu , India</b></p><p><b>Experience : 8 to 12 Years</b></p><p><br /></p><p><b>Job Role </b>:</p><p><br /></p><p>Experience: 8–12 years of core analytics experience, with at least 3+ years in a leadership/client-facing manager role (Fintech or Banking experience highly preferred).</p><p><br /></p><p>AI & Technical Stack:</p><p><br /></p><p>Proficiency in SQL, Python, or R.</p><p><br /></p><p>Deep experience with AI/ML techniques (Predictive Modeling, Clustering, NLP, or Generative AI integrations) used in daily problem-solving.</p><p><br /></p><p>Hands-on familiarity with BI & Data tools (Tableau, PowerBI, Databricks, Snowflake, BigQuery, Amplitude, Mixpanel, etc.).</p><p><br /></p><p>Client & Communication Mastery: Flawless verbal and written communication skills with a proven track record of managing and presenting to global (US/UK/EU) stakeholders.</p><p><br /></p><p>Business Acumen: Demonstrated ability to drive commercial growth, craft client proposals (RFP/pitches), and convert insights into revenue opportunities.</p><p><br /></p><p>Education: Bachelor’s or Master’s degree in Data Analytics, Computer Science, Statistics, Mathematics, Economics, or an MBA from a top-tier institute.</p><p><b>Responsibilities </b>:<br /><br /></p><p>Key Responsibilities</p><p>1. Problem Solving & Technical Leadership</p><p><br /></p><p>Translate complex, ambiguous client business challenges into structured analytics frameworks, technical solutions, and actionable AI roadmaps.</p><p><br /></p><p>Apply AI and Machine Learning natively into daily analytics workflows, automation routines, and client deliverables.</p><p><br /></p><p>Deliver hands-on analytical work while reviewing team deliverables to ensure technical accuracy, business context, and high presentation quality.</p><p><br /></p><p>2. Domain Expertise (1+ Core Areas)</p><p>Lead analytics strategy across at least one or more key Fintech functions:</p><p><br /></p><p>Marketing Analytics: Customer Acquisition Cost (CAC), Campaign Optimization, Multi-Touch Attribution, LTV Modeling.</p><p><br /></p><p>Sales Analytics: Conversion Funnels, Sales Force Effectiveness, Pipeline Analytics, Cross-sell/Up-sell strategies.</p><p><br /></p><p>Product Analytics: User Behavior Analysis, Feature Adoption, A/B Testing, Churn Prediction, Onboarding Funnel Optimization.</p><p><br /></p><p>Risk Analytics: Fraud Detection, Credit Scoring Models, Underwriting Analytics, Portfolio Risk Monitoring.</p><p><br /></p><p>3. Client Management & Account Growth</p><p><br /></p><p>Serve as the primary offshore liaison, building deep trust and maintaining fluent, impactful communication with senior executive stakeholders.</p><p><br /></p><p>Cross-pollinate ideas: Transfer best practices, successful frameworks, and innovative use cases across different business units within the client organization.</p><p><br /></p><p>Proactively identify whitespace opportunities, draft compelling solution pitches, and partner with onshore leadership to expand LatentView's foot-print within the account.</p><p><br /></p><p>4. Team Mentorship & Delivery Management</p><p><br /></p><p>Lead, mentor, and upskill a high-performing team of data scientists and analytics consultants.</p><p><br /></p><p>Drive delivery excellence, ensuring timelines, resource allocation, and quality standards meet client expectations.</p><p><b>Required skills </b>: </p><p>Proficiency in SQL, Python, or R. Deep experience with AI/ML techniques (Predictive Modeling, Clustering, NLP, or Generative AI integrations) used in daily problem-solving. Hands-on familiarity with BI & Data tools (Tableau, PowerBI, Databricks, Snowflake, BigQuery, Amplitude, Mixpanel, etc.).</p>