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

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 recognized 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.

If you are passionate about leveraging analytics consulting to address critical challenges in the Pharma & Life Sciences sector, this role is an excellent fit for you. Join us in revolutionizing the healthcare landscape through advanced analytics.

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.
• 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.

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.

Tiger Analytics provides equal employment opportunities to applicants and employees 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.