Associate Director, Franchise Data Product Strategy (GI)

📍 Job Overview

Job Title: Associate Director, Franchise Data Product Strategy (GI)

Company: Takeda

Location: Lexington, MA, United States

Job Type: FULL_TIME

Category: Revenue Operations / Data Strategy & Product Management

Date Posted: April 06, 2026

Experience Level: 10+ Years

Remote Status: Hybrid

🚀 Role Summary

• Strategic leadership in managing and evolving data environments to support the Gastrointestinal (GI) Franchise's Analytics, Sales, and Marketing teams, ensuring data product excellence.

• Drive the development of a comprehensive data roadmap, incorporating new data sources and advanced capabilities to meet dynamic business needs and foster innovation.

• Act as the central liaison, coordinating data product development efforts and fostering strong partnerships with cross-functional teams including Technology, Commercial Operations, and Market Access.

• Champion data quality initiatives and oversee the optimization of data storage, organization, and usage to enhance accuracy, reduce cycle times, and enable advanced analytical methodologies.

📝 Enhancement Note: This role sits at the intersection of data product management and GTM operations, requiring a strong understanding of pharmaceutical data, analytics, and the commercial landscape. The "Associate Director" title in a hybrid environment suggests a significant level of autonomy and strategic input, likely involving managing projects and influencing stakeholders across multiple departments.

📈 Primary Responsibilities

• Serve as the primary point of contact for the GI franchise, orchestrating data product development and facilitating collaboration with operational partners in Data, Digital, and Technology (DD&T), Commercial Operations and Business Solutions (COBS), and Patient and Market Access (PAMA).

• Define, manage, and communicate the requirements, specifications, and design for data product environments, ensuring alignment with analytical, reporting, and stakeholder needs.

• Foster continuous improvement by leading performance reviews of internal and external service providers for data product development and operations.

• Proactively manage and lead the implementation of changes to data products resulting from upstream or downstream system modifications, including prioritization and requirements gathering.

• Maintain robust stakeholder engagement and relationships across various analytics functions, including COBS, PAMA, and marketing, to proactively support business objectives and drive alignment.

• Collaborate with COBS and DD&T to ensure data warehouse environments and commercial reporting platforms are consistent with evolving business needs, including the review and approval of data model changes.

• Partner with DD&T to ensure the availability and maintenance of supporting technologies for the Data or Reporting platforms, guaranteeing seamless access for end-users.

• Work with CA&I senior staff to identify internal and external resource requirements and negotiate for the necessary resources to meet brand team and market access needs.

• Develop deep Therapeutic Area and franchise-specific product knowledge, acting as the lead individual responsible for capturing and ensuring the accurate incorporation of business rules into published data products.

📝 Enhancement Note: The responsibilities emphasize a blend of strategic product management, cross-functional stakeholder management, and operational oversight. The role requires a deep understanding of pharmaceutical data ecosystems and the ability to translate business needs into technical requirements for data products that support advanced analytics, AI, and targeting strategies.

🎓 Skills & Qualifications

Education:

• Bachelor's degree required from an accredited college/university, preferably in Statistics, Business, or Information Systems.

Experience:

• 10+ years of experience in Operations / IT with a demonstrated track record in Data Analysis, Metadata Management, and Data Quality, preferably within the pharmaceutical industry.

• 10+ years of experience in Data Strategy, encompassing data architecture, governance, data modeling, ETL, Enterprise Data Warehouse, and analytics.

• 6+ years of experience managing in a matrix environment across different levels is preferred.

• Proven experience working with Sales and Marketing organizations, particularly within a pharmaceutical context.

• Prior experience with key pharmaceutical data sources such as IQVIA, Komodo, Market Access, Patient Services, and Specialty Pharmacy.

• Demonstrated experience across all phases of the data development life cycle: Requirements, Design, Development, Testing, Deployment, and Change Management.

• Proven project management skills, with the ability to lead and manage large business change programs.

• Excellent verbal and written communication skills, with experience presenting to peers and upper-level management.

• Proficient in Microsoft Office Suite (Word, Excel, Project, Visio, PowerPoint), with advanced Excel skills (pivot tables, databases, macros).

Required Skills:

• Data Strategy and Roadmapping

• Data Architecture and Data Modeling

• Data Governance and Data Quality Management

• Enterprise Data Warehouse (EDW) Concepts

• ETL (Extract, Transform, Load) Processes

• Data Analysis and Interpretation

• Pharmaceutical Data Sources (IQVIA, Komodo, etc.)

• Project Management Methodologies

• Stakeholder Management and Cross-Functional Collaboration

Preferred Skills:

• Knowledge of coding techniques in SQL and SAS.

• Familiarity with Python, PySpark, and Spark.

• Prior working experience with Business Intelligence (BI) tools such as Tableau or PowerBI.

• Prior working experience in Cloud Platform technologies, with AWS strongly preferred.

• 1+ years of experience in Cloud Data Platform technologies (e.g., Databricks).

📝 Enhancement Note: The emphasis on pharmaceutical data sources and experience in a matrix environment within the pharma industry are critical. The combination of technical data skills (SQL, SAS, Python) with strategic product management and project leadership capabilities is essential. The preference for AWS and cloud data platforms like Databricks indicates a modern data infrastructure focus.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase of strategic data roadmapping initiatives, demonstrating foresight in anticipating future data needs for commercial teams.

• Examples of data product development lifecycle management, from initial requirements gathering to deployment and ongoing enhancement, highlighting process adherence.

• Case studies demonstrating successful data quality improvement projects, including methodologies for data profiling, cleansing, and validation