Associate Director- Program Manager (Pharma / Medical Devices)

Job Description

Job Description

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. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are seeking an experienced Program Manager with a strong background in Data & Analytics and deep domain expertise in the Pharmaceutical and/or Medical Devices industry. The ideal candidate will have a proven track record of leading large-scale, cross-functional data transformation programs and managing complex multi-vendor delivery environments while partnering with senior business and technology stakeholders.

RESPONSIBILITIES:

• Lead end-to-end delivery of large-scale Data & Analytics programs across Pharmaceutical and Medical Devices organizations.
• Manage complex multi-vendor and multi-partner engagements, ensuring alignment across business, technology, analytics, and operations teams.
• Serve as the primary liaison between client leadership, business stakeholders, and delivery teams, driving program governance, planning, execution, risk management, and stakeholder communication.
• Coordinate cross-functional teams including data engineering, analytics, data science, reporting, and business functions to ensure successful program delivery.
• Track program milestones, dependencies, budgets, resource allocation, and delivery risks to achieve business objectives.
• Leverage deep understanding of Life Sciences data ecosystems, including Veeva, IQVIA (PlanTrak, LAAD, PE, Xponent), and Real-World Data sources such as TriNetX, Flatiron, Optum, and Komodo.
• Partner with business stakeholders to translate strategic objectives into analytics roadmaps, data products, and actionable solutions.
• Present analytics strategies, program updates, and solution recommendations to senior business stakeholders, demonstrating business impact and value realization.
• Facilitate solution design and delivery discussions across analytics, data science, and engineering teams to ensure alignment with business requirements.
• Lead and oversee analytics initiatives involving patient, claims, sales, CRM, market research, and commercial datasets within the Life Sciences domain.

Requirements

• 18+ years of experience in Data & Analytics (D&A), with 10+ years leading large-scale enterprise transformation and modernization programs .
• Proven expertise delivering AWS and Databricks-based data platform modernization initiatives, including cloud migration, Lakehouse architecture, data engineering, governance, and enterprise analytics.
• Strong program leadership with experience managing large cross-functional teams, multiple vendors, consulting partners, and offshore/onshore delivery models .
• Demonstrated strengths in executive stakeholder management, conflict resolution, roadmap planning, program governance, delivery tracking, dependency management, and risk mitigation .
• Experience orchestrating multiple concurrent workstreams and aligning evolving business priorities into a cohesive program plan.
• Exposure to pharmaceutical, life sciences, or medical device organizations is highly preferred, with familiarity in regulatory environments and commercial/R&D/manufacturing data landscapes.
• Strong communication and consulting skills, capable of engaging senior business and technology executives while driving strategic transformation initiatives.

Benefits

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.