Tiger Analytics

Associate Director – Analytics Consulting, Telecom/Media/Entertainment

Tiger Analytics

full-time

Posted on:

Location Type: Hybrid

Location: Jersey CityNew JerseyUnited States

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About the role

  • 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
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.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data analyticsAI/ML pipelinesdata architecturestatistical algorithmsmachine learning algorithmsSQLRPythonQlikTableau
Soft Skills
project managementteam managementstakeholder engagementcollaborationmentoringproblem-solvingcommunicationleadership
Certifications
Graduate in Business AnalyticsMBA