RDQ Data Management and Governance Leader

$149,100 - $234,300/Yr

Takeda Pharmaceutical Company - Cambridge, MA

Full-time - Senior

Cambridge, MA

Chemical Manufacturing

About the position

As an R&D Data Management and Governance Leader at Takeda, you will spearhead the implementation and management of a comprehensive data governance strategy. This role focuses on transforming raw data into actionable insights, enabling informed decision-making and optimizing performance in alignment with regulatory requirements. You will oversee complex data projects, ensuring the organization collects, organizes, and standardizes data to support critical analytics and reporting needs. Your leadership will drive the development of integrated data flows, automation, and innovative technologies to enhance data accessibility and compliance.

Responsibilities

• Lead the RDQ data program, ensuring integrated data flows and end-to-end management control mechanisms.
• Develop complex data structures to standardize data for business-critical analytics.
• Advise on data flow optimization, including data capture and integration.
• Set and maintain GxP standards according to Takeda's SDLC policies and QMS.
• Develop data profiling and quality methodologies for data transformation processes.
• Manage data pipeline and analysis approaches using various technologies.
• Facilitate analytical assessments to translate business needs into analytical opportunities.
• Lead the development of technical roadmaps for data analyses and model design.
• Maintain documentation on data definitions, standards, and flows for stakeholders.
• Provide input on complex decisions impacting overall data products.

Requirements

• Bachelor's degree or higher in a quantitative discipline such as Statistics, Mathematics, Engineering, or Computer Science.
• 7 years of experience, including 3+ years in a data engineering role in an enterprise environment.
• Knowledge of product management in the pharmaceutical industry (5+ years experience).
• Experience in building and supporting scalable analytical data models (5+ years experience).
• Familiarity with Agile Software Development methodologies.
• Experience with pharma processes and R&D data management practices.
• Data modeling experience and building data schema with standard tools.
• Knowledge of data architecture and modeling, including data lakes and visualization.
• Experience with SDLC and validation/quality compliance requirements.
• Experience with ETL/ELT design and implementations in complex datasets.

Nice-to-haves

• Experience with GxP data products.
• Familiarity with big data processing systems and distributed computing technologies.
• Experience with DevOps orchestration tools such as GitHub, Terraform, Ansible, Chef.

Benefits

• Paid holidays
• Disability insurance
• Health insurance
• Dental insurance
• Tuition reimbursement
• Paid time off
• Vision insurance
• 401(k) matching
• Volunteer time off
• Life insurance