Commercial Data Enablement Lead

Scorpion Therapeutics; Cambridge (MA); Hybrid; USD 150,000 - 185,000; Full time

Job summary

Takeda in Cambridge, MA is seeking a Commercial Data Enablement Lead to optimize the value and quality of data across Takeda's commercial products, including USBU and IBU, to support analytics and AI readiness.

You will oversee the data portfolio, guide data acquisition, reuse and retirement based on business value, enforce metadata, lineage and data quality standards, and partner with cross-functional teams across product, architecture, privacy and AI to realize value.

Qualifications

• Bachelor's degree in business, engineering, data, or life sciences.
• 12–15+ years in pharma or life sciences with deep experience in commercial data strategy and governance.
• Experience with enterprise data ecosystems (e.g., AWS, Databricks, Salesforce).
• Strong understanding of commercial domains like customer, digital health, content, and market access.
• Expertise in data standards, AI/GenAI data needs, and responsible AI.

Responsibilities

• Oversee the data portfolio and guide data acquisition, reuse, and retirement based on business value.
• Enforce metadata, lineage and data quality standards; embed standards into product lifecycle processes.
• Align priorities across business units and partner with cross-functional teams (product, architecture, privacy, AI).
• Track value realization, governance, and stakeholder engagement.

Skills

Data governance

Data strategy

AWS

Databricks

Salesforce

AI readiness

Commercial data

Matrixed organizations

Responsible AI

Education

Bachelor's degree

Job description

Role

Commercial Data Enablement Lead responsible for optimizing the value and quality of data across Takeda's Commercial products, including USBU and IBU, to support analytics and AI readiness.

Responsibilities

oversee the data portfolio, guide data acquisition, reuse, and retirement based on business value, enforce data standards such as metadata, lineage, and data quality; embed standards into product lifecycle processes; align priorities across business units; partner with cross-functional teams including product, architecture, privacy, and AI; track value realization, governance, and stakeholder engagement.

Qualifications

Bachelor's in Business, Engineering, Data, or Life Sciences; 12-15+ years in pharma or life sciences, with deep experience in commercial data strategy, governance, and enterprise data ecosystems (e.g., AWS, Databricks, Salesforce); strong understanding of commercial domains like customer, digital health, content, and market access; proven influence in matrixed organizations; expertise in data standards, AI/GenAI data needs, and responsible AI.

HighValue

focus on commercial data ecosystems, AI/analytics readiness, data standards, cross-functional collaboration, and enterprise data governance.

Work setup

based in Cambridge, MA; full-time, remote/hybrid options.