Sr. Consultant/Manager - Business Decision & AI Consultant

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, have recognised our business value and leadership. We solve complex analytical problems at scale and have built a reputation for delivering valuable data-driven solutions across various industries, including Pharma and Life Sciences.

We are looking for a business-first, analytically strong consultant who can work closely with business leaders to understand complex decisions, bring fresh perspectives, and translate business needs into data- and AI-enabled solutions. This is more than a traditional requirements-gathering role. The consultant will be expected to understand how the business operates, identify the decisions that matter, determine what information and analysis are needed, and work with AI/Agentic tools, data, and specialist teams to solve the problem. The ideal candidate has operated in an environment where they have regularly used data and analysis to support business decisions and is excited about applying emerging AI technologies.

RESPONSIBILITIES:

• Understand the business and the decision: Engage with business stakeholders to understand objectives, economics, processes, constraints, and the decisions they are looking to make.
• Challenge and structure problems: Ask thoughtful questions, constructively challenge assumptions, and translate ambiguous business issues into clear hypotheses, analyses, and decision frameworks.
• Use data to develop insights: Explore and interpret data, conduct rapid analyses, identify patterns, and translate findings into relevant business implications and recommendations.
• Rapidly prototype solutions: Leverage GenAI, Agentic AI, analytics, and low-code/no-code tools to rapidly explore ideas, analyze information, and develop working prototypes.
• Orchestrate expertise: Recognize when deeper expertise is required and effectively collaborate with data scientists, engineers, domain experts, product teams, and AI agents to develop solutions.
• Drive from insight to action: Communicate findings in simple business language, provide actionable recommendations, and work with stakeholders to translate recommendations into measurable business outcomes.
• Continuously learn: Experiment with emerging AI and technology capabilities and identify opportunities where they can meaningfully improve business decision-making.