Takeda
Associate Director - Data Modeling
Cambridge, MA · Director · Full-time
Sponsorship not specified$154k-$243kDetected 1 day ago
AWSGCPAzureMachine LearningSparkData ScienceData VisualizationLLMsRAGProcess ImprovementPharmacologyLeadershipCommunicationCollaborationHadoop
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About the role
- As an Associate Director - Data Modeling, you will provide Data Modelling subject-matter-expertise to ensure high-quality analysis-ready data assets are created and utilized in a systematic manner for insight generation within R&D.
- Provide Subject-Matter-Expertise during the implementation of data mapping and harmonization specifications.
- Accountable for the creation of data sets and assets that can be readily used for AI and advanced analytics use cases and in a consumable format for AI models.
Responsibilities
- Design, plan & implement of data modelling activities, based on R&D portfolio & business priorities.
- Design projects, activities and generate data mapping & harmonization specifications within the Data Modelling capability area.
- Assess, design & implement curation methodologies with input from the Data Org. capability area team members and other SMEs.
- Work closely with the data science and analytics teams to ensure data models support and drive advanced analytics initiatives.
- Collaborate with R&D functions and organizations to assess & understand data & process-related gaps, pain-points etc. and provide input to create a goal state view.
- Design and optimize the data-centric components of these processes to move processes & workflows towards the goal-state.
- How will you contribute: Design, plan & implement of data modelling activities, based on R&D portfolio & business priorities.
- Collaborate with other process and workflow-related organizations within R&D and Takeda Enterprise organization to ensure that the goal-state processes, workflows etc. are holistic.
- Implement best practices for data processes & operations, ensuring standardized and streamlined workflows for data & insights generation across R&D.
- Collaborate with the other capability areas within the Data Organization to ensure that processes related to data strategy, governance, modelling and insight-generation are aligned & systematic.
Requirements
- Process Optimization: Ability to identify inefficiencies in data workflows and processes, designing & implementing solutions that enhance speed, accuracy, and usability.
- Master's degree in Data Science, Information Management, or a related field.
- 5-8 years of experience.
Compensation
- $154,400.00 - $242,550.00 The estimated salary range reflects an anticipated range for this position.
- The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location.
Benefits
- Experience in AI-ready data preparation, data modeling for machine learning, and harmonizing data from multiple sources.
- Strong background in AI and machine learning data preparation, including cleaning, transformation, and optimization.
- Desired Experience in the pharmaceutical, healthcare, or life sciences industries.
Company info
- We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices.
- Takeda is an industry-leading, global pharmaceutical company with an unwavering dedication to putting patients at the center of everything we do.
- We live our values of Takeda-ism - Integrity, Fairness, Honesty, and Perseverance - and are united by our mission to strive towards Better Health and a Brighter Future for people worldwide through leading innovation in medicine.
Equal opportunity
- Takeda is an equal opportunity employer.
- For applicants of U.S and Puerto Rico positions: Click here to learn about our commitment to Equal Employment Opportunity (EEO).
Visa & Work Authorization
- ligion, 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
This listing is sourced directly from Takeda's careers page and normalized into a canonical job model.