Manager/Senior Manager - Product Owner (Pharma & Life sciences)

Responsibilities

• Lead AI and analytics-driven initiatives to solve complex business problems for Pharma and Life Sciences clients.
• Manage and mentor cross-functional teams including consultants, analysts, data scientists, and ML engineers.
• Engage closely with client stakeholders and onsite teams to understand business priorities and challenges.
• Facilitate client workshops to identify high-impact business problems suitable for AI and advanced analytics solutions.
• Translate ambiguous business requirements into clear, well-defined analytical problem statements.
• Oversee delivery of commercial analytics use cases such as MMX, NBX, digital transformation, patient segmentation, payer segmentation, and patient journey analytics.
• Ensure high-quality execution, timely delivery, and measurable business outcomes across engagements.
• Present insights, recommendations, and results to senior client stakeholders.

Requirements

• 6-12 years of relevant experience delivering advanced analytics solutions.
• Strong domain expertise in Pharma or Life Sciences, within an analytics consulting environment.
• Hands-on experience with commercial analytics use cases such as MMX, NBX, patient analytics, payer analytics, and patient journey analysis.
• Good understanding of healthcare and life sciences data sources such as APLD, Truven, Optum, Symphony, or similar datasets.
• Proven ability to work with AI and advanced analytics techniques to drive business value.
• Experience leading and managing cross-functional project teams.
• Strong problem-solving skills with the ability to structure and clarify ambiguous business problems.
• Excellent communication, stakeholder management, and presentation skills.

Benefits

• Significant career development opportunities.
• Part of a small, fast-growing, challenging, and entrepreneurial environment.
• A high degree of individual responsibility.
• Tiger Analytics provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.