About The Position

Tiger Analytics is an advanced analytics consulting firm and a trusted analytics partner to Fortune 100 companies, helping them generate business value from data. Its consultants bring expertise in Data Science, Machine Learning, and AI, and the company’s business value and leadership have been recognized by market research firms including Forrester and Gartner. The Engagement Lead will lead high-impact analytics consulting engagements for top-tier Pharma and Lifesciences clients. The role owns engagements from inception through completion, translates business problems into scalable analytics and AI solutions, manages senior client relationships, and leads cross-functional delivery teams. It also involves identifying opportunities, shaping proposals, and expanding client accounts. Tiger Analytics offers significant career development opportunities as the company grows. The position provides the opportunity to work in a small, fast-growing, challenging, and entrepreneurial environment with a high degree of individual responsibility. The company provides equal employment opportunities without regard to legally protected characteristics.

Requirements

  • 10–16 years of professional work experience, including at least 7 years in data analytics.
  • Ability to engage with executive- and VP-level client stakeholders and translate business problems into a high-level analytics solution approach.
  • Experience working within Pharma or Life Sciences.
  • Ability to oversee, support, and unblock cross-functional technical teams to ensure successful project delivery.
  • Demonstrated ability to identify business needs, pitch solutions, and drive account expansion.
  • Ability to work with IT and Data Engineering teams to embed analytic outputs in business processes.
  • Graduate in Business Analytics or MBA, or equivalent work experience.

Responsibilities

  • Take full accountability for client engagements from inception to completion, ensuring successful execution of data, analytics, and AI initiatives.
  • Translate complex business problems into viable, scalable analytics and AI solutions, serving as a bridge between business and technology.
  • Manage, cultivate, and expand relationships with senior client stakeholders; ensure alignment, manage expectations, and deliver exceptional client experiences.
  • Lead and support cross-functional teams of data scientists, data engineers, and business analysts to ensure high-quality project execution.
  • Identify new account opportunities, shape proposals, and expand the client footprint to drive sustained account growth.
  • Work with IT and Data Engineering teams to help embed analytic outputs in business processes.

Benefits

  • Significant career development opportunities as the company grows.
  • Opportunity to work in a small, fast-growing, challenging, and entrepreneurial environment with a high degree of individual responsibility.
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