Technical Product Owner, AI-native Large molecule Discovery

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Key Partners: Product Lead (Business Lead) AI-native Large molecule Discovery teams and external partner engineering squads.

This role is 100% dedicated to Takeda R&Ds Labs of Tomorrow Program.

As the Technical Product Owner you will be the technical delivery counterpart to the Business Lead for Takedas next-generation large molecule discovery AI-native software products. Where the Business Lead defines the scientific vision customer experience and value the product must deliver the Technical Product Owner owns translating that vision into a buildable sequenced and technically sound delivery plan and is accountable for the engineering execution quality and technical integrity of the product will be the day-to-day technical leader for Takedas Large molecule discovery product family working in direct partnership with the Business Lead to convert scientific and business intent into an executable technical roadmap. You will own the backlog architecture direction and delivery cadence for the development squads building AI-native large molecule discovery capabilities ensuring what gets built is technically robust scalable well-integrated with the broader Labs of Tomorrow ecosystem and delivered in a way that enables the scientific and business value the Business Lead is accountable for.

You will combine strong technical product ownership discipline (backlog management sprint planning release management stakeholder translation) with genuine biology fluency; enough to shape the redesign of large molecule processes into AI-first workflows alongside the business converse credibly with medicinal chemists computational chemists and structural biologists and make sound technical trade-offs that respect the underlying scientific method rather than working from a purely IT will operate at the product-team leadership level working side-by-side with the Business Lead as a single aligned leadership pair providing day-to-day direction to engineers data scientists ML scientists and technical leads and interfacing with other Technical Product Owners across the Labs of Tomorrow portfolio to ensure architectural coherence and reuse across the suite of products.

• Own and maintain the technical backlog and delivery roadmap for the Large molecule discovery product family translating the Business Leads strategic vision and prioritized capabilities into epics user stories and technically sequenced releases.

• Partner with the Business Lead as a single accountable pair jointly owning outcomes: the Business Lead is accountable for scientific/business value and adoption; the Technical Product Owner is accountable for technical feasibility delivery quality timeline and platform integrity.

• Work with a team of Product Owners to translate re-imagined AI-native discovery workflows into clear technical requirements acceptance criteria and system designs in partnership with architects engineers data scientists and ML scientists.

• Support use case level Scrum Masters for sprint planning backlog grooming story writing and release management for the development squad(s) ensuring the team has clear well-specified de-risked work at all times and that individual use cases within the product family are aligned.

• Make and own technical trade-off decisions (build vs. buy sequencing technical debt vs. new capability integration approach) within the intent and priorities set by the Business Lead and Labs of Tomorrow leadership.

• Ensure technical solutions are grounded in real laboratory and computational biology workflows validating that what is built reflects how biologists structural biologists and computational scientists actually work not just how requirements were documented.

• Own integration and architectural alignment with adjacent platforms (ELN/LIMS compound registration HTE automated synthesis assay data platforms scientific data lakes/data models) in coordination with enterprise architecture and other product teams.

• Manage technical risk dependencies and blockers across engineering data ML and infrastructure workstreams escalating and resolving with DD&T Computational Science and external delivery partners as needed.

• Define and track engineering KPIs (velocity quality technical adoption/usage telemetry system performance reliability) that complement the Business Leads scientific and business value metrics feeding a shared integrated view of product health.

• Collaborate with our external technology/build partners on technical scope architecture decisions delivery timelines and code/solution quality.

• Identify opportunities where AI agents predictive models automation and data platform capabilities can be technically implemented to redesign scientific workflows and translate these into feasible well-architected product features.

• Partner with other Technical Product Owners across the Labs of Tomorrow portfolio to ensure extensibility shared components and consistent technical standards across the product suite.

• Bachelors or Masters degree in Biology Computational Biology Chemical Engineering Computer Science Bioinformatics or a related technical/scientific field; 8 years of progressively responsible experience in software product ownership technical program management or engineering leadership ideally within pharmaceutical biotech or life sciences R&D.

• Biology knowledge and prior hands-on biology laboratory experience (academic or industry) sufficient to understand medicinal/computational biology workflows laboratory processes and the scientific reasoning behind discovery decisions and to engage credibly with bench and computational chemists.

• Demonstrated experience as a Technical Product Owner Product Manager or similar role owning a backlog and technical roadmap for a software product or platform end to end.

• Strong grounding in Agile/Scrum delivery: backlog management story writing and acceptance criteria sprint planning release management and cross-functional ceremonies.

• Hands-on technical background (prior coding data engineering or scientific computing experience) sufficient to engage credibly with software engineers computational scientists data scientists and ML scientists on design and trade-off discussions.

• Working knowledge of modern software architecture cloud platforms data platforms and AI/ML system design principles as applied to scientific software.

• Experience translating ambiguous scientific or business requirements into clear buildable technical specifications.

• Strong stakeholder management skills with the ability to partner effectively with a Business Lead/Product Lead as a joint leadership pair and to manage technical stakeholders across engineering data science and infrastructure teams.

• Experience directing external technology/development partners holding them accountable to technical scope timeline and quality.

• Strong communication skills able to translate between scientific stakeholders business leadership and technical delivery teams.

• Ability to operate effectively in a complex matrixed environment influencing without direct authority.

Preferred:

• Experience with scientific software platforms such as ELN/LIMS compound registration systems high-throughput experimentation (HTE) platforms automated synthesis systems or assay data platforms.

• Exposure to bioinformatics tools molecular data standards (e.g. SMILES SDF InChI) scientific data models or AI-ready scientific data practices.

• Experience with AI/ML-enabled discovery applications including predictive modeling generative biology or agentic AI workflows.

• Prior experience working in a laboratory automation or digital lab environment.

• Relevant certifications in Agile/Scrum product ownership (e.g. CSPO SAFe POPM).

Takeda Compensation and Benefits Summary

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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.

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