Product Lead- Data Scientist

Mumbai, Maharashtra, India

Weekday

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This role is for one of the Weekday's clients

Min Experience: 8 years

Location: Mumbai

JobType: full-time

We are seeking a visionary Product Lead to spearhead the development and growth of our AI/ML and data science product suite. This role blends deep technical expertise with strategic product leadership to deliver high-impact solutions in the Business Intelligence and analytics domain. You’ll be responsible for shaping product strategy, leading cross-functional execution, and driving innovation from concept to market success.

Requirements

Key Responsibilities

Strategic Product Leadership

  • Define and own the product strategy for AI/ML-powered solutions that align with customer needs and market opportunities.
  • Develop product roadmaps that position offerings competitively within the data analytics landscape.
  • Collaborate cross-functionally with Engineering, Data Science, Marketing, and Go-to-Market teams to ensure execution excellence.

Technical Product Management

  • Oversee the lifecycle of ML-driven intelligence products solving complex enterprise challenges.
  • Integrate cutting-edge AI technologies including LLMs, NLP, and agent frameworks.
  • Promote best practices in model development, data architecture, and deployment.
  • Drive innovation using advanced techniques such as vector databases, embedding-based search, and deep analytics.

Market and Client Focus

  • Conduct deep market analysis and competitive research to identify emerging trends and opportunities.
  • Translate complex technical capabilities into clear business value and customer benefits.
  • Lead client engagement sessions to refine offerings and align product-market fit.
  • Ensure measurable impact through adoption, ROI tracking, and use case expansion.

Team and Stakeholder Leadership

  • Build and mentor high-performing product and technical teams with a focus on excellence and innovation.
  • Establish scalable processes for collaboration, knowledge sharing, and continuous learning.
  • Champion the adoption of emerging technologies and agile methodologies across teams.

Business Impact

  • Support revenue growth and P&L performance of the AI/ML product portfolio.
  • Define and monitor success metrics including usage, retention, and revenue contribution.
  • Lead product launches and execute go-to-market strategies in partnership with Sales and Marketing.

Required Qualifications

Technical Expertise

  • Advanced degree (Master’s/PhD) in Data Science, Computer Science, Statistics, or a related discipline.
  • 8–12 years of experience in data science, machine learning, and technical product leadership.
  • Proficiency in Python or R, SQL, and leading ML libraries and frameworks.
  • Strong foundation in NLP, LLMs, and modern AI architecture.
  • Experience with cloud platforms, big data technologies, and scalable ML infrastructure.

Product Leadership

  • 5+ years of product management experience, with at least 3 years in senior or leadership roles.
  • Demonstrated success in building, launching, and scaling B2B data science or analytics products.
  • Deep understanding of BI, analytics, and the enterprise software landscape.
  • Strong capabilities in product visioning, roadmap creation, and cross-functional coordination.

Business & Communication Skills

  • Strategic thinking with an ability to influence C-level executives and business stakeholders.
  • Proven track record of working in fast-paced, high-growth environments.
  • Excellent communication and storytelling skills to explain complex concepts clearly.

Preferred Qualifications

  • Experience with vector databases, MLOps, and production-level ML systems.
  • Background in startup or high-growth tech environments.
  • Familiarity with enterprise software sales and customer success.
  • Experience driving product monetization strategies or leading successful product exits.
  • Knowledge of data governance, compliance, and privacy regulations.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile Architecture Big Data Business Intelligence Computer Science Data Analytics Data governance Engineering LLMs Machine Learning ML infrastructure ML models MLOps NLP PhD Privacy Python R Research SQL Statistics

Perks/benefits: Career development Startup environment

Region: Asia/Pacific
Country: India

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