Senior Manager, Clinical Data Enablement

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use.  I further attest that all information I submit in my employment application is true to the best of my knowledge.

Job Description

Are you looking for a patient-focused, innovation-driven company to inspire you and empower you to shine? Join us as a Senior Manager, Clinical Data Enablement based remotely reporting to the Director, Clinical Data Engineering.

At Takeda, we are transforming the pharmaceutical industry through our R&D-driven market leadership and being a values-led company. To do this, we empower our people to work towards their potential through life-changing work. Certified as a Global Top Employer, we offer stimulating careers, and work toward excellence in everything we do. We foster an inclusive, collaborative workplace, in which our global teams are united by an unwavering commitment to provide Better Health and a Brighter Future to people around the world.

Here, you will be a necessary contributor to our inspiring, bold mission.

GOALS:

The Senior Manager, Clinical Data Enablement is responsible for operating and continuously improving end-to-end clinical data pipelines across cloud-based data lake and data warehouse environments. This role builds scalable ingestion and transformation capabilities, partners closely with internal stakeholders and external vendors, and ensures reliable, compliant delivery of clinical data products to downstream consumers.

ACCOUNTABILITIES:                                                                                 

• Own end-to-end clinical data pipelines across lake/warehouse environments (build, run, monitor, maintain, troubleshoot) to ensure stable, performant, traceable operations.
• Drive operational excellence through monitoring/alerting, incident management, root-cause analysis, and corrective/preventive actions.
• Build and scale cloud ETL/ELT capabilities (AWS/Azure) for efficient ingestion, transformation, orchestration, and delivery.
• Automate integrations and run operations (scheduling, metadata-driven pipelines, automated quality checks) to improve reliability and timeliness.
• Partner with vendors and cross-functional teams to define data transfer specifications, acceptance criteria, and integration patterns; implement integrations with robust error handling and reconciliation.
• Serve as an SME for structured and unstructured data integration, driving continuous improvements through stakeholder feedback and evolving requirements.
• Partner with downstream teams (Stat Programming, SDTM, Analytics, Clinical Data Programming) to deliver fit-for-purpose datasets and interfaces (format, structure, cadence).
• Ensure on-time, high-quality delivery to agreed specifications; establish and manage SLAs/OLAs as needed.
• Design and deliver GxP-aligned clinical data engineering solutions with lifecycle documentation, traceability, and audit-ready evidence.
• Embed data integrity controls (e.g., ALCOA+) and support validated operations via change control, incident/deviation documentation, periodic review, and inspection readiness.
• Collaborate with Quality/Compliance/IT to implement appropriate access controls, logging/audit trails (as applicable), and operating controls.

EDUCATION AND EXPERIENCE:

• BS/BA (or equivalent) plus 6+ years in data engineering, pipeline development/operations, and multi-source data integration (clinical/biopharma preferred).
• Strong SQL, data modeling, and data quality controls; working knowledge of NoSQL and integration patterns.
• Proficiency in Python (preferred) or R; experience building production pipelines (testing, logging, monitoring); familiarity with SDLC practices; Jira/Confluence required.
• Knowledge of CDISC, CDASH, and SDTM standards preferred. 
• Hands-on with CSV, JSON, XML, and API/file-based integrations.
• Cloud experience (e.g., AWS such as EC2/EMR/RDS/Redshift/Apache Spark) and related platforms (e.g., Snowflake, Databricks). Pipeline and platform expertise: reusable ELT/ETL frameworks; data warehouse/data lake technologies (e.g., Snowflake, Amazon Redshift); large-scale pipeline performance and maintenance. 
• GitHub/GitLab version control; CI/CD exposure preferred.
• Experience working in GxP-regulated environments with change control/audit readiness expectations; ability to embed data integrity controls into pipelines and operations.
• Mentor junior engineers/FSPs; independent and collaborative problem-solving; ability to prioritize in a fast-paced environment and deliver to deadlines.
• Strong collaboration and communication; organized, self-directed, proactive problem-solver.
• Prior regulatory inspection experience preferred. 
• AWS/Azure and/or Python certification preferred.

Takeda Compensation and Benefits Summary

We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. 

For Location:

U.S. Base Salary Range:

The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location. 

For information about our benefits, please click here.

EEO Statement

Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.

Locations

Worker Type

Worker Sub-Type

Time Type

Job Exempt