

BI Data Visualization Architect
β - Featured Role | Apply direct with Data Freelance Hub
This role is a contract BI Data Visualization Architect position in Princeton, NJ, requiring 10+ years of BI experience, including 3+ years in pharma commercial. Key skills include Tableau, data modeling, and client engagement.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
-
ποΈ - Date discovered
May 22, 2025
π - Project duration
Unknown
-
ποΈ - Location type
Hybrid
-
π - Contract type
Unknown
-
π - Security clearance
Unknown
-
π - Location detailed
Princeton, NJ
-
π§ - Skills detailed
#Consul #Microsoft Power BI #Visualization #Consulting #CRM (Customer Relationship Management) #AI (Artificial Intelligence) #Data Modeling #Storytelling #Scala #Data Engineering #Data Pipeline #BI (Business Intelligence) #Leadership #Tableau #Data Storytelling
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, VRTek Consulting, is seeking the following. Apply via Dice today!
Title: BI Data Visualization Architect
Location: Princeton, NJ Hybrid role
Type: Contract
BI Data Visualization Architect Pharma Commercial Domain Location: Princeton, New Jersey (Hybrid)
Experience: 10+ years Domain: Life Sciences / Pharma Commercial
Role Summary: 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.
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
β’ 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.
Dice is the leading career destination for tech experts at every stage of their careers. Our client, VRTek Consulting, is seeking the following. Apply via Dice today!
Title: BI Data Visualization Architect
Location: Princeton, NJ Hybrid role
Type: Contract
BI Data Visualization Architect Pharma Commercial Domain Location: Princeton, New Jersey (Hybrid)
Experience: 10+ years Domain: Life Sciences / Pharma Commercial
Role Summary: 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.
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
β’ 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.