Head, Data & AI Enablement Position Available In Suffolk, Massachusetts

Job Description:

By clicking the “Apply” button, I understand that my employmentapplication process with Takeda will commence and that theinformation I provide in my application will be processed in linewith Takeda’s Privacy Notice and Terms of Use . I further attestthat all information I submit in my employment application is trueto the best of my knowledge. Job Description

OBJECTIVES/PURPOSE

Takeda Pharmaceuticals is seeking an innovative and strategicleader to join its R D Data, Digital & Technology (DD&T)organization as the Head of Data and AI Enablement. This pivotalrole is instrumental in empowering Takeda’s R D teams to unlockthe full potential of data and cutting-edge AI technologies,driving transformative advancements in research and clinicaldevelopment. The ideal candidate will serve as a catalyst forinnovation and value realization, leveraging scalable ecosystems,AI-powered analytics, and emerging technologies to acceleratescientific discovery, improve decision-making, and enhanceoperational efficiency, all while maintaining complianceexcellence. Through a commitment to data and technology asstrategic drivers of innovation, this leader will be pivotal inadvancing Takeda’s mission to deliver transformative therapies andimprove the lives of patients worldwide. If you have a passion forharnessing the power of data and AI to revolutionize research anddevelopment, this is a unique opportunity to drive impactfulchange.

ACCOUNTABILITIES

AI-Driven Transformation:

Spearhead thedeployment and integration of advanced AI and machine learningcapabilities across workflows, embedding tools such as LLMs andgenerative AI into critical processes such as clinical protocolgeneration, molecule prediction, and trial optimization.

Continuously explore and integrate emerging technologies, ensuringTakeda remains at the forefront of innovation while tailoringsolutions to address evolving R D challenges. Position AI andgenerative models as fundamental enablers of data-drivendecision-making and empower researchers to uncover transformativeinsights that drive meaningful patient outcomes.

Data-DrivenInnovation:

The Head of Data and AI Enablement will play a criticalrole in fostering a culture of data-driven innovation by buildingcapabilities that unlock the full value of Takeda’s diverse dataassets, institutional knowledge, and insights. Drive thedevelopment of tools, workflows, and integration solutions thateliminate data silos, improve accessibility, and enhance agilityacross R D while enabling compliance with regulatory standardssuch as HIPAA and GxP. Implement and oversee fit for purpose datagovernance frameworks that focus on unlocking scientific agilityand enabling advanced analytics, ensuring reliable dataintegration, accessibility, quality, and compliance whileempowering R D teams to derive actionable insights. Enableseamless access to high-quality data and deploy advanced analyticsand AI technologies to position Takeda’s data resources as driversof discovery, trial optimization, and future therapeuticinnovation. Transform Takeda’s data into a foundational pillar forR D excellence by delivering scalable platforms and integratingemerging technologies to maintain a competitive edge and fosterscientific breakthroughs.

Technical Leadership :

Acts as a changeagent to promote innovative ways of working and fosteringcollaboration across

R D DD&T, R

D, Global DD&T,external technology partners.

Drive Technical Excellence:

Lead theadvancement of internal technical capabilities by fosteringinnovation and embedding AI-powered technologies like generative AIand large language models into R D workflows, ensuringsolutions align with Takeda’s scientific priorities.

Architect andDeliver Scalable Solutions:

Design, develop, and oversee thedelivery of robust, scalable internal solutions that integrate dataand AI to unlock insights, enhance decision-making, and driveefficiency across research, clinical, and regulatory functions.

Elevate Technical Skillsets:

Serve as a mentor and coach to elevatetechnical expertise within Takeda’s teams, enablingcross-functional stakeholders to embrace data engineering, AImethodologies, and advanced analytics tools in their workflows.

Leadership in

Data-Driven Innovation:

Act as a strategic technicallead across R D by continuously exploring and integratingcutting-edge technologies to address R D challenges and ensureTakeda remains at the forefront of data and AI innovation.

Ownership of Mission-Critical Deliverables:

Take accountability fortechnical success by ensuring high-quality execution and alignmentof all internal solutions, establishing rigorous processes andstandards that meet regulatory requirements and business impactgoals.

Resource Management:

Manage budgets and resourcesefficiently to prioritize and achieve technical milestones. Ensureadherence to compliance, security, and IT governance standardswhile fostering an environment of continuous improvement andadaptability.

DIMENSIONS AND ASPECTS

Leadership:

Demonstratedability to work across functions, regions and cultures Functionallevel leadership with the ability to inspire, motivate and driveresults Excellent communicator, able to persuasively convey bothideas and data, verbally and in writing Proven skills as aneffective team player who can engender credibility and confidencewithin and outside the company Ability to distil complex issues andideas down to simple comprehensible terms Demonstrates leadershippresence and confidence Embraces and demonstrates a diversity andinclusion mindset and role models these behaviors for theorganization Builds teams across functions and geographies withindividuals who have the right skills and experience to deliver onkey organizational initiatives. Invests time in helping others toenhance their skills and perform at a higher level

Decision-makingand Autonomy:

Decision making responsibilities:

Provide input tohighly complex decisions that impact the functionalarea.

Accountable for decision making for designatedfunction.

Ability to seek diverse input from multiple constituentsand stakeholders to drive innovative solutions.

Ability toincorporate feedback and ensure decisions are implemented swiftlyto yield flawless execution Accountable for providing input to andimplementing vision and strategy for designated scope

Interaction:

Effectively navigates the changing external and internalenvironment and leads others through change by creating andinspiring and engaging workplace Cultivates a broad network ofrelationships throughout Takeda, with affiliates and externalpartners, in the industry and area of expertise. Effectivelyrepresents function in negotiations with the ability to resolveconflict in a constructive manner Ability to build strongrelationships and collaborate effectively with other interfacingTakeda functions Leadership experience within global, matrixedorganizations with a focus on pharmaceutical R D or healthcareinnovation. Ability to work across diverse teams, such as researchscientists, clinical development experts, and regulatoryprofessionals, to ensure effective adoption of digital and AIsolutions.

Innovation:

Strategic thinker with a robustunderstanding of long-range planning for scalable and adaptabletechnological solutions. Commitment to innovation and staying aheadof technology trends to deliver transformative solutions. Passionfor Takeda’s mission of improving patient lives and advancingtherapeutic innovation. Forward thinking with the ability torecommend, influence and implement organizational change andcontinuous innovation Comfortable challenging the status quo andbringing forward innovative solutions Ability to take risksimplementing innovative solutions, accelerating time to marketIdentifies opportunities and anticipates changes in the businesslandscape through an understanding and ongoing assessment of theenvironment affecting the business. Role models respect andinclusion, creating a culture that fosters innovation

Complexity:

Ability to work in a global ecosystem (internal and external) witha high degree of complexity Deep expertise required Ability to seeand understand broader, enterprise level perspective

EDUCATION,BEHAVIOURAL COMPETENCIES AND SKILLS

Master’s Degree is required; aPhD in a relevant field such as Data Science, Computer Science,Artificial Intelligence, Engineering, Bioinformatics, ComputationalBiology, or a related discipline is highly preferred.

SpecializedTraining:

Formal education or certification in software engineering,artificial intelligence, machine learning, generative AI, dataengineering, or related technologies.

Business Acumen:

An MBA orequivalent experience in strategy, management, or leadership is aplus, particularly for candidates with strong technicalbackgrounds. Minimum of15 yearsin progressive leadership roleswithin Digital, Data, Technology, or R D environments in thepharmaceutical, biotechnology, or healthcare sectors. Experienceleading high-performing cross-functional teams across data science,AI development, software engineering, and operations.

Technologyand AI Delivery:

Proven track record of delivering AI and DataSolutions that drive documented value Proven track record indeploying large language models (LLMs), generative AI systems, andother advanced technologies to solve complex challenges in R Dfunctions such as molecule prediction, trial design optimization,and clinical protocol generation. Hands-on experience inidentifying, piloting, and scaling emerging technology solutionsfor research, clinical, and regulatory workflows. Proven ability todrive AI-powered innovation and develop strategic roadmaps thatalign emerging technologies with organizational goals. Experiencein translating novel AI applications into actionable insights thatcreate tangible business value for R D and broaderorganizational objectives.

Software Development and DevOpsPractices:

Experience in delivering custom software solutions forcomplex R D needs, leveraging both internal and externalresources. Expertise in implementing DevOps practices to driveefficient development-to-operations transitions and ensureautomation across workflows.

Data Enablement & Capability Building:

Strategic Data Leadership:

Proven ability to design and implementscalable data strategies that unlock the value of diverse dataassets, eliminate silos, and drive decision-making in R D,clinical, or regulated environments. Extensive experience buildingand managing Data Engines and enabling self-service analyticsthrough intuitive, AI-powered tools accessible to scientific andclinical teams.

Knowledge Integration and Governance:

Expertise inintegrating diverse data sources, surfacing organizationalknowledge, and implementing governance frameworks to ensurecompliance with global regulatory standards (e.g., HIPAA, GxP)while maintaining data accessibility and quality.

Collaboration andInnovation:

Strong track record of partnering acrosscross-functional teams (e.g., scientists, clinicians, regulatoryprofessionals) to deliver impactful solutions, leveraging emergingtechnologies like NLP and generative AI to address evolving R Dneeds.

ADDITIONAL INFORMATION

: Hybrid role, based in Cambridge, MATakeda Compensation and Benefits Summary We understand compensationis an important factor as you consider the next step in yourcareer. We are committed to equitable pay for all employees, and westrive to be more transparent with our pay practices.

For Location:

Boston, MA U.S.

Base Salary Range:

$208,200.00 – $327,140.00 Theestimated salary range reflects an anticipated range for thisposition. The actual base salary offered may depend on a variety offactors, including the qualifications of the individual applicantfor the position, years of relevant experience, specific and uniqueskills, level of education attained, certifications or otherprofessional licenses held, and the location in which the applicantlives and/or from which they will be performing the job.

The actualbase salary offered will be in accordance with state or localminimum wage requirements for the job location. U.S. basedemployees may be eligible for short-term and/orlong-termincentives. U.S.based employees may be eligible toparticipate in medical, dental, vision insurance, a 401(k) plan andcompany match, short-term and long-term disability coverage, basiclife insurance, a tuition reimbursement program, paid volunteertime off, company holidays, and well-being benefits, among others.

U.S.based employees are also eligible to receive, per calendaryear, up to 80 hours of sick time, and new hires are eligible toaccrue up to 120 hours of paid vacation. EEO Statement Takeda isproud in its commitment to creating a diverse workforce andproviding equal employment opportunities to all employees andapplicants for employment without regard to race, color, religion,sex, sexual orientation, gender identity, gender expression,parental status, national origin, age, disability, citizenshipstatus, genetic information or characteristics, marital status,status as a Vietnam era veteran, special disabled veteran, or otherprotected veteran in accordance with applicable federal, state andlocal laws, and any other characteristic protected by law.

Locations Boston, MA Worker Type Employee Worker Sub-Type RegularTime Type Full time Job Exempt Yes It is unlawful in Massachusettsto require or administer a lie detector test as a condition ofemployment or continued employment. An employer who violates thislaw shall be subject to criminal penalties and civil liability.