

Cortex Consultants LLC
BI Architect - Only from Pharma or Biotech Domain
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a BI Architect position focused on the Pharma or Biotech domain, offering a contract in Plainsboro, NJ. Requires 8+ years in BI/data architecture, expertise in cloud platforms, and strong data governance skills. Pay rate is unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
October 3, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Plainsboro, NJ
-
🧠 - Skills detailed
#Compliance #Data Strategy #Data Modeling #Qlik #Azure #Data Governance #Data Management #Metadata #Data Engineering #Data Quality #Data Catalog #Tableau #Strategy #Microsoft Power BI #GCP (Google Cloud Platform) #BI (Business Intelligence) #Computer Science #Cloud #AWS (Amazon Web Services) #Data Architecture #Visualization #Data Science
Role description
Title: BI Architect from Pharma or Biotech Domain
Location: Plainsboro, NJ-Hybrid role
Type: Contract
JD:
Key Responsibilities
The BI Architect will be responsible for the following core activities:
Strategy, Architecture, and Roadmap
• As-Is, To-Be Reference Architecture: Define the current-state BI ecosystem and architect the target-state (To-Be) reference architecture for all BI solutions, platforms, and processes, ensuring alignment with overall enterprise data strategy.
• Roadmap for BI Strategy: Develop and maintain a comprehensive BI Strategy and Technology Roadmap, prioritizing initiatives that deliver maximum business value and drive the adoption of modern BI practices.
• Modern BI Approach: Champion and implement a Modern BI Approach, including decentralized data consumption, self-service capabilities, and cloud-native services.
Governance, Program Management, and Stakeholder Alignment
• Governance, Engagement, Manage Program Plan: Establish and lead the BI Governance framework, ensuring compliance with standards, policies, and quality controls. Manage the overall BI program plan, tracking key milestones and deliverables.
• Align Priorities with Genmab team: Act as the primary technical partner for the Genmab team, translating their strategic objectives into BI requirements and ensuring project priorities are aligned with their needs.
• Manage Priorities, Schedule, Budget, Quality: Oversee all program management aspects, including managing project priorities, schedules, budgets, and quality of deliverables.
• Collaborate on Data Products: Collaborate closely with data and business teams to define the semantic layer and bind dashboards for 2-3 critical domain data products.
Optimization and Rationalization
• Assess and Recommend BI Tool Rationalization: Conduct a thorough assessment of the current BI tools portfolio and recommend a strategy for BI tool rationalization to reduce complexity, consolidate platforms, and lower total cost of ownership (TCO).
• License Rationalization Approach, initial pilot: Define and execute a License Rationalization Approach for existing BI tools, including running an initial pilot program to validate cost savings and process efficiency.
• Report Rationalization Approach: Develop and implement a Report Rationalization Approach for in-scope reports, assisting with a pilot program to streamline reporting, eliminate redundancy, and migrate to modern platforms.
Required Qualifications
• Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, or a related field.
• Minimum of 8 years of experience in data warehousing, data modeling, and business intelligence, with at least 3 years in a dedicated BI/Data Architect role.
• Deep expertise in defining As-Is and To-Be BI architectures and developing strategic roadmaps.
• Proven experience with major cloud platforms (e.g., Azure, AWS, GCP) and their native BI/analytics services.
• Expertise in various BI platforms, data visualization tools (e.g., Power BI, Tableau, Qlik), and data modeling techniques (e.g., Kimball, Inmon).
• Strong understanding of Data Governance, Data Quality, and Metadata Management principles.
• Excellent communication, negotiation, and stakeholder management skills, with the ability to articulate technical concepts to both technical and non-technical audiences.
Preferred Qualifications
• Experience in the Pharmaceutical or Biotech industry
• Certification in a relevant cloud platform (e.g., AWS Certified Data Analytics, Azure Data Engineer Associate).
• Familiarity with Data Mesh principles and modern data product development.
• Experience with Semantic Layer technologies and data cataloging solutions.
Title: BI Architect from Pharma or Biotech Domain
Location: Plainsboro, NJ-Hybrid role
Type: Contract
JD:
Key Responsibilities
The BI Architect will be responsible for the following core activities:
Strategy, Architecture, and Roadmap
• As-Is, To-Be Reference Architecture: Define the current-state BI ecosystem and architect the target-state (To-Be) reference architecture for all BI solutions, platforms, and processes, ensuring alignment with overall enterprise data strategy.
• Roadmap for BI Strategy: Develop and maintain a comprehensive BI Strategy and Technology Roadmap, prioritizing initiatives that deliver maximum business value and drive the adoption of modern BI practices.
• Modern BI Approach: Champion and implement a Modern BI Approach, including decentralized data consumption, self-service capabilities, and cloud-native services.
Governance, Program Management, and Stakeholder Alignment
• Governance, Engagement, Manage Program Plan: Establish and lead the BI Governance framework, ensuring compliance with standards, policies, and quality controls. Manage the overall BI program plan, tracking key milestones and deliverables.
• Align Priorities with Genmab team: Act as the primary technical partner for the Genmab team, translating their strategic objectives into BI requirements and ensuring project priorities are aligned with their needs.
• Manage Priorities, Schedule, Budget, Quality: Oversee all program management aspects, including managing project priorities, schedules, budgets, and quality of deliverables.
• Collaborate on Data Products: Collaborate closely with data and business teams to define the semantic layer and bind dashboards for 2-3 critical domain data products.
Optimization and Rationalization
• Assess and Recommend BI Tool Rationalization: Conduct a thorough assessment of the current BI tools portfolio and recommend a strategy for BI tool rationalization to reduce complexity, consolidate platforms, and lower total cost of ownership (TCO).
• License Rationalization Approach, initial pilot: Define and execute a License Rationalization Approach for existing BI tools, including running an initial pilot program to validate cost savings and process efficiency.
• Report Rationalization Approach: Develop and implement a Report Rationalization Approach for in-scope reports, assisting with a pilot program to streamline reporting, eliminate redundancy, and migrate to modern platforms.
Required Qualifications
• Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, or a related field.
• Minimum of 8 years of experience in data warehousing, data modeling, and business intelligence, with at least 3 years in a dedicated BI/Data Architect role.
• Deep expertise in defining As-Is and To-Be BI architectures and developing strategic roadmaps.
• Proven experience with major cloud platforms (e.g., Azure, AWS, GCP) and their native BI/analytics services.
• Expertise in various BI platforms, data visualization tools (e.g., Power BI, Tableau, Qlik), and data modeling techniques (e.g., Kimball, Inmon).
• Strong understanding of Data Governance, Data Quality, and Metadata Management principles.
• Excellent communication, negotiation, and stakeholder management skills, with the ability to articulate technical concepts to both technical and non-technical audiences.
Preferred Qualifications
• Experience in the Pharmaceutical or Biotech industry
• Certification in a relevant cloud platform (e.g., AWS Certified Data Analytics, Azure Data Engineer Associate).
• Familiarity with Data Mesh principles and modern data product development.
• Experience with Semantic Layer technologies and data cataloging solutions.