Director, Pharma Commercial Analytics & Insights — Hybrid

Smith Hanley; New Jersey; Hybrid; USD 225,000 - 240,000; Full time

Job summary

Smith Hanley in Central New Jersey is seeking a Director of Pharma Commercial Analytics & Insights to lead the analytics agenda for a newly launched portfolio. This hybrid role partners with Commercial Strategy, Marketing and Medical leaders to turn data into strategic action and measurable growth.

You will own end-to-end analytics, from data strategy and modelling to executive storytelling, apply predictive analytics, AI and real-world data, and influence senior stakeholders to drive patient

Qualifications

• 10+ years' commercial analytics experience within pharma or biotech.
• Deep expertise in pharmaceutical data, APLD and real-world data (claims, EMR and patient-level data).
• Strong technical capabilities in SQL, Python, R, SAS or similar tools.
• Experience translating complex analytics into clear, actionable commercial recommendations.
• Excellent stakeholder management and influencing skills.
• A curious, entrepreneurial mindset with a passion for innovation and improving patient outcomes.

Responsibilities

• Lead the end-to-end analytics lifecycle, from data strategy and modelling through to insight generation and executive storytelling.
• Partner with Commercial Strategy, Marketing, Medical and Market Access leaders to drive growth.
• Harness real-world data, predictive analytics, AI and machine learning to unlock new opportunities.
• Translate complex analytics into clear, actionable commercial recommendations for senior stakeholders.

Skills

Commercial analytics

Stakeholder management

Analytical storytelling

Tools

SQL

Python

R

SAS

Job description

Smith Hanley in Central New Jersey is seeking a Director of Pharma Commercial Analytics & Insights to lead the analytics agenda for a newly launched portfolio. This hybrid role partners with Commercial Strategy, Marketing and Medical leaders to turn data into strategic action and measurable growth.

You will own end-to-end analytics, from data strategy and modelling to executive storytelling, apply predictive analytics, AI and real-world data, and influence senior stakeholders to drive patient