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Senior Manager-AI Advanced Anlytics & Data Science

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Onsite

Senior Manager-AI Advanced Anlytics & Data Science

Tata Motors Global Services Limited

Senior Manager-AI Advanced Anlytics & Data Science

Skills

E-commerce WebsitesData ScienceData AnalysisMachine LearningAIAWSCRMAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Mumbai, Maharashtra, India

Work mode:

Onsite

Published on:

8 September 2026

What they need


Role & responsibilities

1. 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.

2. 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.

3. 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.

4. 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.

5. 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.

Preferred candidate profile

  • 38 years of experience in Data Science, AI/ML, Customer Analytics, Sales Analytics and MarTech Analytics
  • Strong 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.

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