Base: estimated range based on qualifications + lo...
Data architecture and pipeline development
Advanced sql and python programming
Experience with databricks or cloud data platforms
Join Takeda as Program Manager, BioLife Analytics at the Senior Manager level to shape the data architecture and reporting foundation powering BioLife talent acquisition operations
Job Summary
Join Takeda as Program Manager, BioLife Analytics at the Senior Manager level to shape the data architecture and reporting foundation powering BioLife talent acquisition operations.
You will design, build, and maintain data pipelines and dashboards, collaborate with cross-functional teams, and apply advanced analytics to guide recruiting and business decisions globally.
Takeda offers equitable pay, comprehensive benefits including medical, dental, vision insurance, 401(k) plan with company match, paid time off, and a commitment to diversity and equal employment opportunities.
Matching Summary
Join Takeda as Program Manager, BioLife Analytics at the Senior Manager level to shape the data architecture and reporting foundation powering BioLife talent acquisition operations.
Salary
Base: Estimated range based on qualifications and location; Bonus/Equity: Eligible for short-term and/or long-term incentives; Benefits: Medical, dental, vision, 401(k) match, disability coverage, tuition reimbursement, paid time off
Skills & Requirements
Must-have
Data architecture and pipeline development
Advanced SQL and Python programming
Experience with Databricks or cloud data platforms
Business intelligence and dashboarding tools
Data quality and governance implementation
Talent acquisition data analytics
Nice-to-have
Collaborative and proactive mindset
Project management and organizational skills
Ability to translate data into business insights
Experience with recruiting technology platforms
Application of AI and advanced analytics
Key Requirements
Bachelor’s degree in analytics or related field
Six or more years in data analytics or related roles
Strong experience with Databricks or similar platforms