Associate Engineering Fellow Process Knowledge & Data Architecture

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OBJECTIVE:

Synthetic Molecule Process Development (SMPD) is responsible for the development of robust sustainable and cost-effective processes for the manufacture of new synthetic molecule pharmaceuticals along with methods for achieving and controlling high standards of purity and quality.

The Associate Engineering Fellow Process Knowledge & Data Architecture will leadthe design and implementation of a scalable integrated data and knowledge architecture to support process development across SMPD. This role sits at the intersection of process science data engineering and digital strategy enabling model-informed development and AI-driven workflows by transforming fragmented experimental and manufacturing data into structured reusable knowledge assets.

Working across matrix teams the individual will define and implement SMPDs data and knowledge strategy enable data-driven decision-making model development and digital workflows transforming fragmented datasets into a unified high-value knowledge layer that accelerates development improves process understanding and supports lifecycle management.

ACCOUNTABILITIES:

• Own SMPDs Knowledge Layer: Lead the design governance and lifecycle management of structured reaction process vessel and material databases establishing a unified and reusable process knowledge layer.
• Architect Connected Data Systems: Design implement and govern integrated data architectures linking chemistry process parameters scale equipment attributes and analytical results across laboratory and manufacturing environments (e.g. ELN LIMS PAT MES).
• Enable Model-Informed Development: Build and maintain scalable data pipelines that transform laboratory and manufacturing data into reusable assets for mechanistic modeling development of digital twins and AI/ML applications.
• Drive FAIR & Data Standards: Define metadata models ontologies and data standards; enable ELN/PAT/TDP ingestion pipelines; and implement FAIR data principles to ensure data is findable accessible interoperable and reusable.
• Ensure Governance & Compliance: Establish and enforce data governance frameworks ensuring data quality traceability auditability and lifecycle controls aligned with regulatory expectations (e.g. cGMP data integrity).
• Drive Data Integration & Interoperability: Integrate disparate data sources and systems eliminating silos and enabling a single source of truth across process development workflows.
• Partner Across Functions: Collaborate with Process Development Modeling Automation and Engineering teams to ensure data is generated captured and structured to support advanced analytics modeling and decision-making.
• Bridge Science and Digital: Translate process development needs into data architecture and platform requirements working closely with IT data engineering and digital teams to implement scalable secure and compliant solutions.
• Enable Data-Driven Decision Making: Develop data access visualization and reporting capabilities (e.g. dashboards) that support project teams and leadership in making informed decisions.
• Lead Technology Implementation: Support the selection deployment and integration of digital platforms (e.g. cloud environments data lakes APIs) ensuring scalability and alignment with enterprise architecture.
• Shape Strategy & Sustainability: Define SMPDs connected data and model roadmap identify and close architecture gaps and partner with IT and Digital teams to ensure interoperability and long-term platform sustainability.
• Own Digital Twin Architecture & Governance: Define model standards validation frameworks version control and lifecycle management for predictive and hybrid models deployed across development and manufacturing.
• Champion Data Culture & Capability Building: Promote best practices in data management standards and reuse; train and support scientists and engineers in adopting digital tools and workflows.
• Lead External Benchmarking & Best Practices: Stay informed on industry trends emerging technologies and regulatory expectations to continuously evolve SMPDs data and knowledge capabilities.
• Operate in Matrix Teams: Influence and align cross-functional stakeholders to deliver integrated data solutions without direct authority. Operates as a technical leader within matrix teams influencing stakeholders and driving alignment across functions without direct authority.
• Proactively identify vendors and builds relationships to gain access to technologies as needed to deliver against goals.
• Manage key vendor relationships across multiple projects as appropriate and proactively affects resolution of issues arising at vendors.
• Represent Takeda and is an active member on pre-competitive collaborations with academic and industrial partners.
• Responsible for authoring relevant sections of regulatory documents reports and peer reviewed manuscripts.

EDUCATION EXPERIENCE AND SKILLS:

Education and Experience:

Required:

• PhD in Chemical Engineering Chemistry Data Science or related field with 7 years of relevant experience or
• MS with 13 years or BS with 15 years of relevant experience.
• Strong expertise in data architecture data modeling and data integration preferably within pharmaceutical R&D or manufacturing environments.
• Experience working with scientific data systems (e.g. ELN LIMS MES) and integrating laboratory and manufacturing datasets.
• Proven experience designing scalable data platforms and pipelines including cloud-based architectures (e.g. AWS Azure) and modern data stacks.
• Strong understanding of data governance metadata management and FAIR data principles.
• Experience enabling analytics modeling or AI/ML applications through structured data frameworks.
• Understanding of pharmaceutical process development and/or manufacturing workflows including CMC and cGMP considerations.
• Demonstrated ability to work in cross-functional matrix environments influencing stakeholders across scientific and technical domains.
• Strong communication skills with the ability to translate complex technical concepts into actionable insights for diverse audiences.

Optional (Preferred Qualifications)

• Experience with ontologies knowledge graphs or semantic data models
• Experience supporting digital twins advanced process control or hybrid modeling
• Track record of driving enterprise data initiatives or platform deployments
• Experience with regulatory data integrity requirements (e.g. ALCOA)

Knowledge and Skills:

• Analytical and Problem Solving Skills - Able to troubleshoot critical issues or problems using appropriate information and determine causes and possible solutions
• Teamwork -- Ability to work well on global cross-functional teams.
• Communication Skills -Able to express oneself clearly and concisely within team; documents issues and/or concerns concisely with colleagues; adjusts communication style as appropriate for the audience; timely and effectively communicates with senior management; technical writing skills to support authorship and approval of internal technical documents
• Organization Exercises good time management and prioritization skills to balance multiple project and departmental objectives
• Technical - Subject matter expertise in a specific scientific area or areas. Demonstrated ability to successfully contribute across multiple scientific endeavors
• Knowledge Sharing - Ability to capture knowledge within the organization; improves solutions processes and deliverables through use of information; improves information capital by contributing experience theories deliverables and models for others to use
• Resource Management -Project management skills; ability to manage ones time within individual departmental and corporate goals and timelines; management of internal and external resources (vendors)
• External Involvement Demonstrated involvement in professional community evidenced by presentation of scientific posters or lectures at professional conferences or events. Interacts with external vendors for projects
• Leadership Skills Develops and uses knowledge and interpersonal skills to appropriately influence and guide others towards the accomplishment of department/function goals and objectives.

TRAVEL REQUIREMENTS:

May require approximately 10% travel.

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 actual base salary offered will be in accordance with state or local minimum wage requirements for the job location.

U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical dental vision insurance a 401(k) plan and company match short-term and long-term disability coverage basic life insurance a tuition reimbursement program paid volunteer time off company holidays and well-being benefits among others. U.S. based employees are also eligible to receive per calendar year up to 80 hours of sick time and new hires are eligible to accrue up to 120 hours of paid vacation.

EEO Statement

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