20 Sep
|
Tata Motors
|
Mumbai
20 Sep
Tata Motors
Mumbai
Purpose of the Role
To develop, deploy, and scale advanced AI/ML and MarTech analytics solutions that drive customer acquisition, lead conversion, sales effectiveness, customer journey optimization, accessory sales and marketing ROI. The role will be responsible for transforming data into actionable intelligence that enables data-driven decision-making.
Job Responsibility
Behavioral Analytics & Customer Intelligence: Analyze customer behavior, preferences, digital interactions, and purchase journeys to generate actionable insights, customer personas, segmentation frameworks, and AI-driven recommendations that improve customer acquisition, targeting effectiveness, engagement, sales conversion, and revenue outcomes.
MarTech Analytics, Personalization & Marketing Effectiveness: Design intelligent marketing solutions that deliver personalized customer experiences, next-best-action recommendations, audience targeting, and customer journey orchestration, while establishing attribution and measurement frameworks to evaluate marketing effectiveness, campaign contribution, customer engagement, and business outcomes across digital and offline channels.
Accessory Recommendation Analytics: Develop AI-powered accessory recommendation solutions that identify and recommend the most relevant accessories for each customer by leveraging vehicle attributes, customer profiles, and purchase behavior to enhance accessory penetration, customer experience, and revenue growth.
Model Deployment, Integration & Business Adoption
Operationalize AI/ML solutions by integrating model outputs into business systems, CRM and marketing platforms, enabling automated decision-making, seamless activation, and widespread adoption by Sales and Marketing teams to drive measurable business outcomes.
Impact Measurement & Governance: Establish measurement frameworks to quantify business impact from deployed AI/ML models and analytics interventions while supporting leadership reviews and governance mechanisms.
Stakeholder Profiles & Nature of Interactions
Partner with Sales, Demand Planning, Supply Chain, and Finance teams to translate business needs into actionable analytics solutions.
Bridge the gap between AI-driven capabilities and business adoption.
Engage with external vendors and consultants to ensure high-quality, timely project execution.
Provide data-backed recommendations to support leadership decision-making
Desired Candidate Profile
3–8 years of experience in Data Science, AI/ML, Customer Analytics, Sales Analytics and MarTech Analytics
Solid experience in developing and deploying machine learning models in production environments
Experience working with CRM, AWS, Azure, website, lead, and campaign datasets.
Exposure to Automotive, Retail, E-Commerce or Consumer businesses preferred.
Proven track record of delivering measurable business impact through analytics and AI-driven solutions.
Skills & Competencies
Data Science
AI/ML
📌 Senior Manager-AI Advanced Analytics & Data Science Lab-Analytics-TMDigital.Ai (Mumbai)
🏢 Tata Motors
📍 Mumbai