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Director - Data and Analytics Product - Global Functions (Open) | ScaleneWorks INC

full-time
Posted on August 21, 2025

Job Description

Director - Data and Analytics Product - Global Functions (Open)

Job Summary

The Director of Data and Analytics Product for Global Functions will play a pivotal role in understanding the needs and data requirements of customer groups and users. This position is responsible for managing key business relationships within the AI/ML portfolio, ensuring successful delivery of data products, and fostering a culture of innovation and continuous learning within the team.

Responsibilities

  • Understand the needs, business processes, and data requirements of customer groups and users, managing key business relationships for the AI/ML portfolio.
  • Manage a portfolio of data products, identifying synergies and dependencies to ensure successful delivery.
  • Combine business understanding with knowledge of established and emerging AI/ML capabilities to identify and cultivate use cases from ideas into potential Data & Analytics (D&A) products.
  • Build and manage a team of AI/ML professionals, including data scientists, machine learning engineers, and researchers, ensuring they have clear objectives and necessary resources.
  • Oversee the development and implementation of AI/ML projects, ensuring timely delivery within budget and achieving desired outcomes.
  • Foster a culture of continuous learning and development within the AI/ML team, including mentoring and career growth opportunities.
  • Encourage innovation and experimentation within the team to explore new AI/ML techniques and applications.
  • Ensure AI/ML practices adhere to ethical standards and comply with relevant laws and regulations, particularly regarding data privacy and security.
  • Collaborate with other departments, such as GP&T, product management, and business units, to integrate AI/ML solutions into the broader business strategy.
  • Stay updated on the latest developments in AI/ML technology and research to maintain a competitive edge and apply cutting-edge methods to solve business problems.
  • Engage with internal partners to understand business processes, develop hypotheses, and translate requirements into an analytic approach.
  • Work with business leaders to identify critical business problems that could be solved using Generative AI and leverage the latest Large Language Models (LLMs).
  • Use experimentation, user demos, and rapid feedback to iteratively refine the D&A Product Roadmap and backlog throughout the product lifecycle.
  • Confirm that delivery from the development team meets business requirements and creates expected value in line with business KPIs.
  • Coach and guide wider Data, Analytics, and AI teams, promoting a culture of continuous improvement.

Qualifications

  • Proven experience in managing AI/ML product portfolios and teams.
  • Strong understanding of data analytics, machine learning, and artificial intelligence technologies.
  • Excellent leadership and team management skills.
  • Ability to communicate complex technical concepts to non-technical stakeholders.
  • Strong problem-solving skills and a strategic mindset.
  • Familiarity with data privacy laws and ethical standards in AI/ML.
  • Educational qualifications: Bachelor's degree in Computer Science, Data Science, Engineering, or a related field; advanced degrees (Master's or PhD) preferred.

Preferred Skills

  • Experience with Generative AI and Large Language Models (LLMs).
  • Knowledge of agile methodologies and product management frameworks.
  • Familiarity with cloud-based data platforms and tools.

Experience

  • Minimum of 8-10 years of relevant experience in data analytics, AI/ML, or related fields, with at least 5 years in a leadership role.

Environment

  • Work location: Bengaluru Luxor North Tower.
  • Work type: Full-time.
  • Work mode: Hybrid.

Salary

  • Estimated salary range: ₹14,000,000.

Growth Opportunities

  • Opportunities for career advancement within the organization, including leadership roles in data and analytics.

Benefits

  • Comprehensive benefits package including health insurance, paid leave, and professional development opportunities.
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