Associate Director – Analytics Consulting, Telecom/Media/Entertainment

Role Overview

• Lead the end-to-end delivery of complex data and analytics programs. Own the roadmap, from problem definition and solution design to production-grade deployment.
• Act as the primary point of contact for client VPs and Directors. Translate unstructured business problems into high-level analytics solution designs.
• Lead and mentor a hybrid team of onshore (US) and offshore (Global Delivery Center) data scientists and data engineers. Ensure seamless collaboration across time zones.
• Work with technical leads to design of scalable AI/ML pipelines and data architectures. Ensure solutions adhere to enterprise standards and leverage modern technology stack
• Apply deep Insurance domain knowledge to validate model outputs and ensure they align with industry nuances
• Present analytical findings and quantify the business value and drive the operationalization of AI into business processes.
• Lead the translation of complex business friction into production-ready GenAI systems, moving beyond simple chatbots to agentic workflows and multi-step reasoning architectures (using frameworks like LangChain or LlamaIndex) that deliver measurable P&L impact.
• Drive the enterprise-wide transition from "AI pilots" to scalable production by overseeing the full model lifecycle—standardizing prompt versioning, fine-tuning strategies (LoRA/QLoRA), and automated evaluation frameworks (e.g., Ragas) to ensure technical reliability and data security.

Requirements

• 13-15 years of total experience with 7+ years in Telecom, Media, Entertainment or gaming industries
• Ability to engage with executive/VP level stakeholders from client’s team to translate business problems to high level analytics solution approach
• Deep knowledge and understanding of at least one of the US Telecom, Media, Entertainment or gaming industry.
• Strong project management and team management skills and ability to work with global teams.
• Solid understanding of statistical and machine learning algorithms is a plus.
• Strong SQL skills and hands-on experience with analytic tools like R & Python; & visualization tools like Qlik or Tableau is a plus
• Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus
• Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes
• Graduate in Business Analytics or MBA or equivalent work experience

Tech Stack

• Cloud
• Hadoop
• HDFS
• Python
• SQL
• Tableau

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.