About The Position

Tiger Analytics is an advanced analytics consulting firm and a trusted analytics partner to Fortune 100 companies. The firm’s consultants bring expertise in Data Science, Machine Learning, and AI. Tiger Analytics is seeking a strategic and driven Engagement Lead to lead high-impact analytics consulting engagements for clients in Pharma and Lifesciences. The role owns engagements from inception to completion, translates business problems into scalable analytics and AI approaches, manages senior client relationships, leads cross-functional delivery teams, and identifies opportunities to grow client accounts. The position offers significant career development opportunities as the company grows and the chance to work in a small, fast-growing, challenging, and entrepreneurial environment with a high degree of individual responsibility.

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 high-level analytics solution approaches.
  • Experience working within Pharma or Life Sciences.
  • Strong ability to oversee, support, and unblock cross-functional technical teams.
  • Demonstrated ability to identify business needs, pitch solutions, and drive account expansion.
  • Graduate in Business Analytics, 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, bridging business and technology.
  • Manage, cultivate, and expand relationships with senior client stakeholders; align 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 opportunities within client accounts, 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.
  • Oversee, support, and unblock cross-functional technical teams to ensure successful project delivery.
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