We are seeking a highly skilled BI Data Visualization Architect with strong experience in the pharmaceutical commercial domain. This role requires a blend of technical BI expertise, strategic insight, and client-facing leadership. The ideal candidate will be responsible for translating complex business requirements into actionable data insights, leading visualization solution design, and managing client engagements and technical teams. Title: BI Data Visualization Architect – Pharma Data Commercial Location: Princeton, NJ – Hybrid role Type: Contract Looking for someone who can work on our W2 10+ years Domain: Life Sciences / Pharma – Commercial Key Responsibilities: • Engage with pharmaceutical commercial stakeholders to gather business requirements and translate them into analytical dashboards and insights. • Architect and implement scalable BI solutions using modern visualization tools (Tableau, Power BI). • Lead the design of intuitive and impactful dashboards, KPIs, and reports to support sales, marketing, market access, and field force effectiveness. • Provide thought leadership on data storytelling, visual design best practices, and user-centric analytics. • Manage and mentor a team of BI developers and analysts, ensuring high-quality delivery and best practices adoption. • Oversee project execution, timelines, and deliverables in close collaboration with client teams and internal stakeholders. • Proactively identify opportunities to enhance decision-making through analytics and new data assets. • Work closely with data engineering teams to define data models, semantic layers, and ensure optimal data pipeline performance. • Conduct solution demos and working sessions with commercial clients and senior leadership. Required Skills & Experience: • 10+ years of experience in BI and data visualization, with at least 3+ years in a pharma commercial domain (e.g., sales analytics, field force performance, omnichannel engagement, market access). • Proven ability to translate business needs into BI and analytics solutions. • Hands-on expertise in one or more leading BI platforms preferably Tableau Strong understanding of data modeling concepts and commercial data sources like IQVIA, Veeva, Salesforce, CRM/CLM, and call activity. • Excellent communication and stakeholder management skills, with the ability to lead client conversations and manage expectations. • Demonstrated experience leading technical teams and mentoring junior resources. • Experience working in a consulting or client-facing role within life sciences. Exposure to Generative AI or embedded analytics concepts is a plus.