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

Tiger AnalyticsNew York, New York, United States
On-site Full-time

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Experience Level

Senior Level Manager

Qualifications

The ideal candidate will possess:A minimum of 6–12 years of experience in delivering advanced analytics solutions. Strong domain expertise in Pharma or Life Sciences, ideally within an analytics consulting context. Hands-on experience with commercial analytics use cases such as MMX, NBX, patient analytics, payer analytics, and patient journey analysis. A solid understanding of healthcare and life sciences data sources, including APLD, Truven, Optum, Symphony, or similar datasets. A proven track record of leveraging AI and advanced analytics techniques to create business value. Experience in leading and managing cross-functional project teams effectively. Strong problem-solving abilities with a knack for clarifying complex business issues. Exceptional communication, stakeholder management, and presentation skills.

About the job

Tiger Analytics is a leading advanced analytics consulting firm that serves as a trusted partner to numerous Fortune 100 companies, helping them unlock valuable business insights from their data. Our team of expert consultants specializes in Data Science, Machine Learning, and AI, and we have been recognized by prominent market research firms such as Forrester and Gartner for our impactful contributions to the industry. We are dedicated to solving complex analytical challenges at scale, earning a strong reputation for delivering data-driven solutions across various sectors, particularly in Pharma and Life Sciences.

If you're enthusiastic about utilizing analytics to tackle significant challenges within the Pharma & Life Sciences domain, this role offers a unique opportunity to make a difference. Join us in transforming the healthcare landscape through innovative analytics.

Responsibilities

  • Lead initiatives driven by AI and analytics to address intricate business challenges for clients in the Pharma and Life Sciences sectors.
  • Manage and mentor diverse teams, including consultants, analysts, data scientists, and ML engineers.
  • Collaborate closely with client stakeholders and onsite teams to grasp business priorities and challenges.
  • Facilitate workshops with clients to pinpoint high-impact business issues that can be solved using AI and advanced analytics.
  • Convert ambiguous business requirements into precise and actionable analytical problem statements.
  • Oversee the delivery of commercial analytics use cases, including MMX, NBX, digital transformation, patient segmentation, payer segmentation, and patient journey analytics.
  • Ensure high-quality execution and timely delivery of projects with measurable business outcomes.
  • Present insights, recommendations, and results to senior stakeholders within client organizations.

About Tiger Analytics

At Tiger Analytics, we pride ourselves on our commitment to delivering exceptional analytics consulting services that empower organizations to harness the full potential of their data. Our recognition by industry leaders underscores our position as a trusted partner in driving innovative solutions within the Pharma and Life Sciences sectors.

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