74 AI Head jobs in the United States

AI Innovation Head and Vendor Management page is loadedAI Innovation Head and Vendor Management Apply locations Boston time type Full time posted on Posted Yesterday job requisition id JR-0016159

The Apex Group was established in Bermuda in 2003 and is now one of the worlds largest fund administration and middle office solutions providers.

Our business is unique in its ability to reach globally, service locally and provide cross-jurisdictional services. With our clients at the heart of everything we do, our hard-working team has successfully delivered on an unprecedented growth and transformation journey, and we are now represented by over circa 13,000 employees across 112 offices worldwide.Your career with us should reflect your energy and passion.

Thats why, at Apex Group, we will do more than simply empower you. We will work to supercharge your unique skills and experience.

Take the lead and well give you the support you need to be at the top of your game. And we offer you the freedom to be a positive disrupter and turn big ideas into bold, industry-changing realities.

For our business, for clients, and for you

AI Innovation Head and Vendor Management

Role Location : Greater Boston Area
Reports To : Chief AI and Data Science Officer

We are seeking a forward-thinking and execution-oriented AI Innovation Head to lead our external AI innovation partnerships and vendor engagements. This role sits at the intersection of strategy, delivery, and integrationbridging cutting-edge AI capabilities with scalable internal infrastructure. Youll drive the productization of AI prototypes, ensure alignment between vendor output and business outcomes, and oversee seamless integration into enterprise platforms. The ideal candidate is commercially astute, technically literate, and thrives in a fast-paced, cross-functional environment.

Key Responsibilities:

As the function matures, your scope will expand. Initial priorities include:

• Vendor selection and performance management Drive structured vendor engagements with KPI-based deliverables tied to business value.
• Productization of internal AI tools Turn prototypes (e.g., agentic pilots) into scalable, reusable internal products.
• Cross-functional integration Coordinate with infrastructure and data teams to embed external innovations into internal platforms.
• Innovation scouting and pipeline development Identify emerging technologies and vendors aligned to strategic AI priorities.
• Commercial oversight and governance Ensure vendor collaboration models, budgets, and deliverables frameworks support agile yet controlled innovation.

Required Skills and Qualifications:

• Strategic Vendor Management: Proven ability to source, evaluate, and onboard AI vendors aligned with enterprise objectives, balancing technical fit and commercial viability.
• Integration & Change Leadership: Experienced in embedding external AI solutions into enterprise workflows, managing stakeholder expectations, and driving adoption.
• AI Risk & Compliance Expertise: Skilled in responsible AI procurement, working cross-functionally to ensure compliance with regulations, model risk, data privacy, and governance frameworks.
• Commercial Negotiation & Performance Oversight: Strong track record negotiating contracts, defining SLAs, and monitoring vendor delivery to maximize business value.
• Market Scanning & Innovation Pipeline: Continuously tracks AI trends and emerging technologies, building structured innovation pipelines and engaging with ecosystem partners.
• Innovation Program Execution: Launches and scales AI initiatives, translating pilots into scalable products with measurable impact.
• Technical & Business Acumen: Familiar with AI vendor tech stacks (e.g. LLM platforms, vector DBs, RAG pipelines), model evaluation, and pricing models; adept at defining innovation KPIs and managing vendor lifecycles.

Preferred Personal Attributes:

• Strategic visionary with a proven ability to translate ideas into effective operational execution.
• Enthusiast for responsible innovation and cutting-edge AI technologies.
• Agile and adaptable, thriving in fast-paced, dynamic, and ambiguous environments.
• Strong ethical foundation, deeply committed to advancing responsible and trustworthy AI adoption.

What you will expose:

• Be part of a dynamic and fast-paced team that makes a genuine impact on the success of the entire organisation.
• Opportunity to work with a diverse, agile, and global team.
• Exposure to all aspects of the business, cross-jurisdiction.
• A genuinely unique opportunity to be part of an expanding large global business.
• Competitive remuneration in line with skills and experience.
• Training and development opportunities.

We pride ourselves in our commitment to fostering a connected and inclusive culture, all our opportunities at Apex have five (5) days in office requirement.

Additional information:

We are an equal opportunity employer and ensure that no applicant is subject to less favourable treatment on the grounds of gender, gender identity, marital status, race, colour, nationality, ethnicity, age, sexual orientation, socio-economic, responsibilities for dependants, physical or mental disability. Any hiring decision are made on the basis of skills, qualifications and experiences.

We measure our success as a business, not only by delivering great products and services and continually increasing our assets under administration and market share, but also by how we positively impact people, society, and the planet.

For more information on our commitment to Corporate Social Responsibility (CSR) please visit ourCSR policy .

Disclaimer : Unsolicited CVs sent to Apex (Talent Acquisition Team or Hiring Managers) by recruitment agencies will not be accepted for this position. Apex operates a direct sourcing model and where agency assistance is required, the Talent Acquisition team will engage directly with our exclusive recruitment partners.

• Spearhead the deployment and integration of advanced AI and machine learning capabilities across workflows, embedding tools such as LLMs and generative AI into critical processes such as clinical protocol generation, molecule prediction, and trial optimization.
• Continuously explore and integrate emerging technologies, ensuring Takeda remains at the forefront of innovation while tailoring solutions to address evolving R&D challenges.
• Position AI and generative models as fundamental enablers of data-driven decision-making and empower researchers to uncover transformative insights that drive meaningful patient outcomes.

• The Head of Data and AI Enablement will play a critical role in fostering a culture of data-driven innovation by building capabilities that unlock the full value of Takeda's diverse data assets, institutional knowledge, and insights.
• Drive the development of tools, workflows, and integration solutions that eliminate data silos, improve accessibility, and enhance agility across R&D while enabling compliance with regulatory standards such as HIPAA and GxP.
• Implement and oversee fit for purpose data governance frameworks that focus on unlocking scientific agility and enabling advanced analytics, ensuring reliable data integration, accessibility, quality, and compliance while empowering R&D teams to derive actionable insights.
• Enable seamless access to high-quality data and deploy advanced analytics and AI technologies to position Takeda's data resources as drivers of discovery, trial optimization, and future therapeutic innovation.
• Transform Takeda's data into a foundational pillar for R&D excellence by delivering scalable platforms and integrating emerging technologies to maintain a competitive edge and foster scientific breakthroughs.

• Acts as a change agent to promote innovative ways of working and fostering collaboration across R&D DD&T, R&D, Global DD&T, external technology partners.
• Drive Technical Excellence: Lead the advancement of internal technical capabilities by fostering innovation and embedding AI-powered technologies like generative AI and large language models into R&D workflows, ensuring solutions align with Takeda's scientific priorities.
• Architect and Deliver Scalable Solutions: Design, develop, and oversee the delivery of robust, scalable internal solutions that integrate data and AI to unlock insights, enhance decision-making, and drive efficiency across research, clinical, and regulatory functions.
• Elevate Technical Skillsets: Serve as a mentor and coach to elevate technical expertise within Takeda's teams, enabling cross-functional stakeholders to embrace data engineering, AI methodologies, and advanced analytics tools in their workflows.
• Leadership in Data-Driven Innovation: Act as a strategic technical lead across R&D by continuously exploring and integrating cutting-edge technologies to address R&D challenges and ensure Takeda remains at the forefront of data and AI innovation.
• Ownership of Mission-Critical Deliverables: Take accountability for technical success by ensuring high-quality execution and alignment of all internal solutions, establishing rigorous processes and standards that meet regulatory requirements and business impact goals.

• Manage budgets and resources efficiently to prioritize and achieve technical milestones.
• Ensure adherence to compliance, security, and IT governance standards while fostering an environment of continuous improvement and adaptability.

• Demonstrated ability to work across functions, regions and cultures
• Functional level leadership with the ability to inspire, motivate and drive results
• Excellent communicator, able to persuasively convey both ideas and data, verbally and in writing
• Proven skills as an effective team player who can engender credibility and confidence within and outside the company
• Ability to distil complex issues and ideas down to simple comprehensible terms
• Demonstrates leadership presence and confidence
• Embraces and demonstrates a diversity and inclusion mindset and role models these behaviors for the organization
• Builds teams across functions and geographies with individuals who have the right skills and experience to deliver on key organizational initiatives.
• Invests time in helping others to enhance their skills and perform at a higher level

• Decision making responsibilities:Provide input to highly complex decisions that impact the functional area.Accountable for decision making for designated function.Ability to seek diverse input from multiple constituents and stakeholders to drive innovative solutions.Ability to incorporate feedback and ensure decisions are implemented swiftly to yield flawless execution
• Accountable for providing input to and implementing vision and strategy for designated scope

• Effectively navigates the changing external and internal environment and leads others through change by creating and inspiring and engaging workplace
• Cultivates a broad network of relationships throughout Takeda, with affiliates and external partners, in the industry and area of expertise.
• Effectively represents function in negotiations with the ability to resolve conflict in a constructive manner
• Ability to build strong relationships and collaborate effectively with other interfacing Takeda functions
• Leadership experience within global, matrixed organizations with a focus on pharmaceutical R&D or healthcare innovation.
• Ability to work across diverse teams, such as research scientists, clinical development experts, and regulatory professionals, to ensure effective adoption of digital and AI solutions.

• Strategic thinker with a robust understanding of long-range planning for scalable and adaptable technological solutions.
• Commitment to innovation and staying ahead of technology trends to deliver transformative solutions.
• Passion for Takeda's mission of improving patient lives and advancing therapeutic innovation.
• Forward thinking with the ability to recommend, influence and implement organizational change and continuous innovation
• Comfortable challenging the status quo and bringing forward innovative solutions
• Ability to take risks implementing innovative solutions, accelerating time to market
• Identifies opportunities and anticipates changes in the business landscape through an understanding and ongoing assessment of the environment affecting the business.
• Role models respect and inclusion, creating a culture that fosters innovation

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

• Master's Degree is required; a PhD in a relevant field such as Data Science, Computer Science, Artificial Intelligence, Engineering, Bioinformatics, Computational Biology, or a related discipline is highly preferred.
• Specialized Training:Formal education or certification in software engineering, artificial intelligence, machine learning, generative AI, data engineering, or related technologies.
• Business Acumen:An MBA or equivalent experience in strategy, management, or leadership is a plus, particularly for candidates with strong technical backgrounds.
• Minimum of15 yearsin progressive leadership roles within Digital, Data, Technology, or R&D environments in the pharmaceutical, biotechnology, or healthcare sectors.
• Experience leading high-performing cross-functional teams across data science, AI development, software engineering, and operations.

• Proven track record of delivering AI and Data Solutions that drive documented value
• Proven track record in deploying large language models (LLMs), generative AI systems, and other advanced technologies to solve complex challenges in R&D functions such as molecule prediction, trial design optimization, and clinical protocol generation.
• Hands-on experience in identifying, piloting, and scaling emerging technology solutions for research, clinical, and regulatory workflows.
• Proven ability to drive AI-powered innovation and develop strategic roadmaps that align emerging technologies with organizational goals.
• Experience in translating novel AI applications into actionable insights that create tangible business value for R&D and broader organizational objectives.

• Experience in delivering custom software solutions for complex R&D needs, leveraging both internal and external resources.
• Expertise in implementing DevOps practices to drive efficient development-to-operations transitions and ensure automation across workflows.

• Strategic Data Leadership: Proven ability to design and implement scalable data strategies that unlock the value of diverse data assets, eliminate silos, and drive decision-making in R&D, clinical, or regulated environments. Extensive experience building and managing Data Engines and enabling self-service analytics through intuitive, AI-powered tools accessible to scientific and clinical teams.
• Knowledge Integration and Governance: Expertise in integrating diverse data sources, surfacing organizational knowledge, and implementing governance frameworks to ensure compliance with global regulatory standards (e.g., HIPAA, GxP) while maintaining data accessibility and quality.
• Collaboration and Innovation: Strong track record of partnering across cross-functional teams (e.g., scientists, clinicians, regulatory professionals) to deliver impactful solutions, leveraging emerging technologies like NLP and generative AI to address evolving R&D needs.

• Hybrid role, based in Cambridge, MA

By clicking the "Apply" button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda's Privacy Notice and Terms of Use . I further attest that all information I submit in my employment application is true to the best of my knowledge.

Job Description

OBJECTIVES/PURPOSE:

Takeda Pharmaceuticals is seeking an innovative and strategic leader to join its R&D Data, Digital & Technology (DD&T) organization as the Head of Data and AI Enablement. This pivotal role is instrumental in empowering Takeda's R&D teams to unlock the full potential of data and cutting-edge AI technologies, driving transformative advancements in research and clinical development. The ideal candidate will serve as a catalyst for innovation and value realization, leveraging scalable ecosystems, AI-powered analytics, and emerging technologies to accelerate scientific discovery, improve decision-making, and enhance operational efficiency, all while maintaining compliance excellence.

Through a commitment to data and technology as strategic drivers of innovation, this leader will be pivotal in advancing Takeda's mission to deliver transformative therapies and improve the lives of patients worldwide. If you have a passion for harnessing the power of data and AI to revolutionize research and development, this is a unique opportunity to drive impactful change.

ACCOUNTABILITIES:

AI-Driven Transformation:

• Spearhead the deployment and integration of advanced AI and machine learning capabilities across workflows, embedding tools such as LLMs and generative AI into critical processes such as clinical protocol generation, molecule prediction, and trial optimization.

• Continuously explore and integrate emerging technologies, ensuring Takeda remains at the forefront of innovation while tailoring solutions to address evolving R&D challenges.

• Position AI and generative models as fundamental enablers of data-driven decision-making and empower researchers to uncover transformative insights that drive meaningful patient outcomes.

Data-Driven Innovation:

• The Head of Data and AI Enablement will play a critical role in fostering a culture of data-driven innovation by building capabilities that unlock the full value of Takeda's diverse data assets, institutional knowledge, and insights.

• Drive the development of tools, workflows, and integration solutions that eliminate data silos, improve accessibility, and enhance agility across R&D while enabling compliance with regulatory standards such as HIPAA and GxP.

• Implement and oversee fit for purpose data governance frameworks that focus on unlocking scientific agility and enabling advanced analytics, ensuring reliable data integration, accessibility, quality, and compliance while empowering R&D teams to derive actionable insights.

• Enable seamless access to high-quality data and deploy advanced analytics and AI technologies to position Takeda's data resources as drivers of discovery, trial optimization, and future therapeutic innovation.

• Transform Takeda's data into a foundational pillar for R&D excellence by delivering scalable platforms and integrating emerging technologies to maintain a competitive edge and foster scientific breakthroughs.

Technical Leadership :

• Acts as a change agent to promote innovative ways of working and fostering collaboration across R&D DD&T, R&D, Global DD&T, external technology partners.

• Drive Technical Excellence: Lead the advancement of internal technical capabilities by fostering innovation and embedding AI-powered technologies like generative AI and large language models into R&D workflows, ensuring solutions align with Takeda's scientific priorities.

• Architect and Deliver Scalable Solutions: Design, develop, and oversee the delivery of robust, scalable internal solutions that integrate data and AI to unlock insights, enhance decision-making, and drive efficiency across research, clinical, and regulatory functions.

• Elevate Technical Skillsets: Serve as a mentor and coach to elevate technical expertise within Takeda's teams, enabling cross-functional stakeholders to embrace data engineering, AI methodologies, and advanced analytics tools in their workflows.

• Leadership in Data-Driven Innovation: Act as a strategic technical lead across R&D by continuously exploring and integrating cutting-edge technologies to address R&D challenges and ensure Takeda remains at the forefront of data and AI innovation.

• Ownership of Mission-Critical Deliverables: Take accountability for technical success by ensuring high-quality execution and alignment of all internal solutions, establishing rigorous processes and standards that meet regulatory requirements and business impact goals.

Resource Management:

• Manage budgets and resources efficiently to prioritize and achieve technical milestones.

• Ensure adherence to compliance, security, and IT governance standards while fostering an environment of continuous improvement and adaptability.

DIMENSIONS AND ASPECTS:

Leadership:

• Demonstrated ability to work across functions, regions and cultures

• Functional level leadership with the ability to inspire, motivate and drive results

• Excellent communicator, able to persuasively convey both ideas and data, verbally and in writing

• Proven skills as an effective team player who can engender credibility and confidence within and outside the company

• Ability to distil complex issues and ideas down to simple comprehensible terms

• Demonstrates leadership presence and confidence

• Embraces and demonstrates a diversity and inclusion mindset and role models these behaviors for the organization

• Builds teams across functions and geographies with individuals who have the right skills and experience to deliver on key organizational initiatives.

• Invests time in helping others to enhance their skills and perform at a higher level

Decision-making and Autonomy:

• Decision making responsibilities: Provide input to highly complex decisions that impact the functional area. Accountable for decision making for designated function. Ability to seek diverse input from multiple constituents and stakeholders to drive innovative solutions. Ability to incorporate feedback and ensure decisions are implemented swiftly to yield flawless execution

• Accountable for providing input to and implementing vision and strategy for designated scope

Interaction:

• Effectively navigates the changing external and internal environment and leads others through change by creating and inspiring and engaging workplace

• Cultivates a broad network of relationships throughout Takeda, with affiliates and external partners, in the industry and area of expertise.

• Effectively represents function in negotiations with the ability to resolve conflict in a constructive manner

• Ability to build strong relationships and collaborate effectively with other interfacing Takeda functions

• Leadership experience within global, matrixed organizations with a focus on pharmaceutical R&D or healthcare innovation.

• Ability to work across diverse teams, such as research scientists, clinical development experts, and regulatory professionals, to ensure effective adoption of digital and AI solutions.

Innovation:

• Strategic thinker with a robust understanding of long-range planning for scalable and adaptable technological solutions.

• Commitment to innovation and staying ahead of technology trends to deliver transformative solutions.

• Passion for Takeda's mission of improving patient lives and advancing therapeutic innovation.

• Forward thinking with the ability to recommend, influence and implement organizational change and continuous innovation

• Comfortable challenging the status quo and bringing forward innovative solutions

• Ability to take risks implementing innovative solutions, accelerating time to market

• Identifies opportunities and anticipates changes in the business landscape through an understanding and ongoing assessment of the environment affecting the business.

• Role models respect and inclusion, creating a culture that fosters innovation

Complexity:

• Ability to work in a global ecosystem (internal and external) with a high degree of complexity

• Deep expertise required

• Ability to see and understand broader, enterprise level perspective

EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS:

• Master's Degree is required; a PhD in a relevant field such as Data Science, Computer Science, Artificial Intelligence, Engineering, Bioinformatics, Computational Biology, or a related discipline is highly preferred.

• Specialized Training: Formal education or certification in software engineering, artificial intelligence, machine learning, generative AI, data engineering, or related technologies.

• Business Acumen: An MBA or equivalent experience in strategy, management, or leadership is a plus, particularly for candidates with strong technical backgrounds.

• Minimum of 15 years in progressive leadership roles within Digital, Data, Technology, or R&D environments in the pharmaceutical, biotechnology, or healthcare sectors.

• Experience leading high-performing cross-functional teams across data science, AI development, software engineering, and operations.

Technology and AI Delivery:

• Proven track record of delivering AI and Data Solutions that drive documented value

• Proven track record in deploying large language models (LLMs), generative AI systems, and other advanced technologies to solve complex challenges in R&D functions such as molecule prediction, trial design optimization, and clinical protocol generation.

• Hands-on experience in identifying, piloting, and scaling emerging technology solutions for research, clinical, and regulatory workflows.

• Proven ability to drive AI-powered innovation and develop strategic roadmaps that align emerging technologies with organizational goals.

• Experience in translating novel AI applications into actionable insights that create tangible business value for R&D and broader organizational objectives.

Software Development and DevOps Practices:

• Experience in delivering custom software solutions for complex R&D needs, leveraging both internal and external resources.

• Expertise in implementing DevOps practices to drive efficient development-to-operations transitions and ensure automation across workflows.

Data Enablement & Capability Building:

• Strategic Data Leadership: Proven ability to design and implement scalable data strategies that unlock the value of diverse data assets, eliminate silos, and drive decision-making in R&D, clinical, or regulated environments. Extensive experience building and managing Data Engines and enabling self-service analytics through intuitive, AI-powered tools accessible to scientific and clinical teams.

• Knowledge Integration and Governance: Expertise in integrating diverse data sources, surfacing organizational knowledge, and implementing governance frameworks to ensure compliance with global regulatory standards (e.g., HIPAA, GxP) while maintaining data accessibility and quality.

• Collaboration and Innovation: Strong track record of partnering across cross-functional teams (e.g., scientists, clinicians, regulatory professionals) to deliver impactful solutions, leveraging emerging technologies like NLP and generative AI to address evolving R&D needs.

ADDITIONAL INFORMATION :

• Hybrid role, based in Cambridge, MA

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:

Boston, MA

U.S. Base Salary Range:

$208,200.00 - $327,140.00

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 job?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

Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, 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 veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.

Locations

Boston, MA

Worker Type

Employee

Worker Sub-Type

Regular

Time Type

Full time

Job Exempt

Yes

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.

OBJECTIVES/PURPOSE:

Takeda Pharmaceuticals is seeking an innovative and strategic leader to join its R&D Data, Digital & Technology (DD&T) organization as the Head of Data and AI Enablement. This pivotal role is instrumental in empowering Takeda’s R&D teams to unlock the full potential of data and cutting-edge AI technologies, driving transformative advancements in research and clinical development. The ideal candidate will serve as a catalyst for innovation and value realization, leveraging scalable ecosystems, AI-powered analytics, and emerging technologies to accelerate scientific discovery, improve decision-making, and enhance operational efficiency, all while maintaining compliance excellence.

Through a commitment to data and technology as strategic drivers of innovation, this leader will be pivotal in advancing Takeda’s mission to deliver transformative therapies and improve the lives of patients worldwide. If you have a passion for harnessing the power of data and AI to revolutionize research and development, this is a unique opportunity to drive impactful change.

ACCOUNTABILITIES:

AI-Driven Transformation:

• Spearhead the deployment and integration of advanced AI and machine learning capabilities across workflows, embedding tools such as LLMs and generative AI into critical processes such as clinical protocol generation, molecule prediction, and trial optimization.

• Continuously explore and integrate emerging technologies, ensuring Takeda remains at the forefront of innovation while tailoring solutions to address evolving R&D challenges.

• Position AI and generative models as fundamental enablers of data-driven decision-making and empower researchers to uncover transformative insights that drive meaningful patient outcomes.

Data-Driven Innovation:

• The Head of Data and AI Enablement will play a critical role in fostering a culture of data-driven innovation by building capabilities that unlock the full value of Takeda’s diverse data assets, institutional knowledge, and insights.

• Drive the development of tools, workflows, and integration solutions that eliminate data silos, improve accessibility, and enhance agility across R&D while enabling compliance with regulatory standards such as HIPAA and GxP.

• Implement and oversee fit for purpose data governance frameworks that focus on unlocking scientific agility and enabling advanced analytics, ensuring reliable data integration, accessibility, quality, and compliance while empowering R&D teams to derive actionable insights.

• Enable seamless access to high-quality data and deploy advanced analytics and AI technologies to position Takeda’s data resources as drivers of discovery, trial optimization, and future therapeutic innovation.

• Transform Takeda’s data into a foundational pillar for R&D excellence by delivering scalable platforms and integrating emerging technologies to maintain a competitive edge and foster scientific breakthroughs.

Technical Leadership :

• Acts as a change agent to promote innovative ways of working and fostering collaboration across R&D DD&T, R&D, Global DD&T, external technology partners.

• Drive Technical Excellence: Lead the advancement of internal technical capabilities by fostering innovation and embedding AI-powered technologies like generative AI and large language models into R&D workflows, ensuring solutions align with Takeda’s scientific priorities.

• Architect and Deliver Scalable Solutions: Design, develop, and oversee the delivery of robust, scalable internal solutions that integrate data and AI to unlock insights, enhance decision-making, and drive efficiency across research, clinical, and regulatory functions.

• Elevate Technical Skillsets: Serve as a mentor and coach to elevate technical expertise within Takeda’s teams, enabling cross-functional stakeholders to embrace data engineering, AI methodologies, and advanced analytics tools in their workflows.

• Leadership in Data-Driven Innovation: Act as a strategic technical lead across R&D by continuously exploring and integrating cutting-edge technologies to address R&D challenges and ensure Takeda remains at the forefront of data and AI innovation.

• Ownership of Mission-Critical Deliverables: Take accountability for technical success by ensuring high-quality execution and alignment of all internal solutions, establishing rigorous processes and standards that meet regulatory requirements and business impact goals.

Resource Management:

• Manage budgets and resources efficiently to prioritize and achieve technical milestones.

• Ensure adherence to compliance, security, and IT governance standards while fostering an environment of continuous improvement and adaptability.

DIMENSIONS AND ASPECTS:

Leadership:

• Demonstrated ability to work across functions, regions and cultures

• Functional level leadership with the ability to inspire, motivate and drive results

• Excellent communicator, able to persuasively convey both ideas and data, verbally and in writing

• Proven skills as an effective team player who can engender credibility and confidence within and outside the company

• Ability to distil complex issues and ideas down to simple comprehensible terms

• Demonstrates leadership presence and confidence

• Embraces and demonstrates a diversity and inclusion mindset and role models these behaviors for the organization

• Builds teams across functions and geographies with individuals who have the right skills and experience to deliver on key organizational initiatives.

• Invests time in helping others to enhance their skills and perform at a higher level

Decision-making and Autonomy:

• Decision making responsibilities: Provide input to highly complex decisions that impact the functional area. Accountable for decision making for designated function. Ability to seek diverse input from multiple constituents and stakeholders to drive innovative solutions. Ability to incorporate feedback and ensure decisions are implemented swiftly to yield flawless execution 

• Accountable for providing input to and implementing vision and strategy for designated scope

Interaction:

• Effectively navigates the changing external and internal environment and leads others through change by creating and inspiring and engaging workplace

• Cultivates a broad network of relationships throughout Takeda, with affiliates and external partners, in the industry and area of expertise.

• Effectively represents function in negotiations with the ability to resolve conflict in a constructive manner

• Ability to build strong relationships and collaborate effectively with other interfacing Takeda functions

• Leadership experience within global, matrixed organizations with a focus on pharmaceutical R&D or healthcare innovation.

• Ability to work across diverse teams, such as research scientists, clinical development experts, and regulatory professionals, to ensure effective adoption of digital and AI solutions.

Innovation:

• Strategic thinker with a robust understanding of long-range planning for scalable and adaptable technological solutions.

• Commitment to innovation and staying ahead of technology trends to deliver transformative solutions.

• Passion for Takeda’s mission of improving patient lives and advancing therapeutic innovation.

• Forward thinking with the ability to recommend, influence and implement organizational change and continuous innovation

• Comfortable challenging the status quo and bringing forward innovative solutions

• Ability to take risks implementing innovative solutions, accelerating time to market

• Identifies opportunities and anticipates changes in the business landscape through an understanding and ongoing assessment of the environment affecting the business.

• Role models respect and inclusion, creating a culture that fosters innovation

Complexity:

• Ability to work in a global ecosystem (internal and external) with a high degree of complexity

• Deep expertise required

• Ability to see and understand broader, enterprise level perspective 

EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS:

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

• Specialized Training: Formal education or certification in software engineering, artificial intelligence, machine learning, generative AI, data engineering, or related technologies.

• Business Acumen: An MBA or equivalent experience in strategy, management, or leadership is a plus, particularly for candidates with strong technical backgrounds.

• Minimum of 15 years in progressive leadership roles within Digital, Data, Technology, or R&D environments in the pharmaceutical, biotechnology, or healthcare sectors.

• Experience leading high-performing cross-functional teams across data science, AI development, software engineering, and operations.

Technology and AI Delivery:

• Proven track record of delivering AI and Data Solutions that drive documented value

• Proven track record in deploying large language models (LLMs), generative AI systems, and other advanced technologies to solve complex challenges in R&D functions such as molecule prediction, trial design optimization, and clinical protocol generation.

• Hands-on experience in identifying, piloting, and scaling emerging technology solutions for research, clinical, and regulatory workflows.

• Proven ability to drive AI-powered innovation and develop strategic roadmaps that align emerging technologies with organizational goals.

• Experience in translating novel AI applications into actionable insights that create tangible business value for R&D and broader organizational objectives.

Software Development and DevOps Practices:

• Experience in delivering custom software solutions for complex R&D needs, leveraging both internal and external resources.

• Expertise in implementing DevOps practices to drive efficient development-to-operations transitions and ensure automation across workflows.

Data Enablement & Capability Building:

• Strategic Data Leadership: Proven ability to design and implement scalable data strategies that unlock the value of diverse data assets, eliminate silos, and drive decision-making in R&D, clinical, or regulated environments. Extensive experience building and managing Data Engines and enabling self-service analytics through intuitive, AI-powered tools accessible to scientific and clinical teams.

• Knowledge Integration and Governance: Expertise in integrating diverse data sources, surfacing organizational knowledge, and implementing governance frameworks to ensure compliance with global regulatory standards (e.g., HIPAA, GxP) while maintaining data accessibility and quality.

• Collaboration and Innovation: Strong track record of partnering across cross-functional teams (e.g., scientists, clinicians, regulatory professionals) to deliver impactful solutions, leveraging emerging technologies like NLP and generative AI to address evolving R&D needs.

ADDITIONAL INFORMATION :

• Hybrid role, based in Cambridge, MA

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 job. 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

Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, 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 veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.

Job Exempt

At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Head of AI Enablement to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in an innovative environment, this could be the perfect fit for you.

Responsibilities:

● Identify all engineering processes suitable for AI automation (requirements, design, coding, testing, deployment)
● Deploy OpenAI Codex, ChatGPT Enterprise, Claude, OpenRouter, and RAG-based toolchains into daily dev workflows
● Collaborate with DevOps and Head of SaaS to automate onboarding, support, and configuration steps
● Partner with Internal Auditor to measure performance uplift and automation ROI
● Build AI-first internal apps: prompt libraries, RAG knowledge bots, test generators, doc writers
● Provide technical leadership on AI/LLM integration: APIs, inference cost, prompt engineering
● Educate engineering leaders on AI-first delivery models and productivity playbooks

● 5+ years in AI/ML engineering or Dev Tooling (AI-focused)
● Experience deploying AI/LLM agents into real-world product/dev orgs
● Strong understanding of LangChain, OpenRouter, RAG pipelines, OpenWebUI
● Experience from AI-native companies like Replit, Notion, OpenAI, HuggingFace, Retool
● Capable of owning AI adoption strategy and executing hands-on

Location: Europe (Remote or Hybrid)
Employment: Full-time

About the Company

Our client is an international fintech provider launching a large-scale transformation into an AI-native organization. They are looking for a leader to design and execute the strategy for integrating LLMs and AI tools into all product development, testing, and support processes.

Role Mission

Make AI a key accelerator for product development and maintenance. The goal is to significantly increase engineering team productivity by embedding LLMs into every stage of the product lifecycle.

Key Responsibilities

• Identify engineering processes suitable for AI automation.

• Develop and implement AI-first solutions: prompt libraries, RAG knowledge bots, test generators, auto-documentation tools.

• Integrate LLMs and AI tools (ChatGPT Enterprise, Claude, LangChain, OpenRouter, etc.) into daily engineering workflows.

• Collaborate with CTO, DevOps, and Head of SaaS to automate onboarding, configuration, and support processes.

• Monitor metrics such as AI coverage, velocity uplift, and LLM cost/benefit ratio.

• Educate engineering leaders and teams on AI-first delivery models.

Requirements

Mandatory:

• 5+ years of experience in AI/ML engineering or developer tooling with a focus on AI.

• Hands-on experience deploying LLM agents and AI tools into product and development organizations.

• Deep understanding of LangChain, RAG pipelines, OpenRouter, OpenWebUI.

• English: C2 proficiency.
  

Preferred:

• Experience in fintech or high-load products.

• Understanding of SaaS architecture and CI/CD processes.

• Ability to balance hands-on technical work with strategic leadership.

Why Join

This is a rare opportunity to drive an end-to-end AI transformation in a global fintech product ecosystem, shaping how cutting-edge AI will define the company’s engineering culture for years to come.

About Us Eon collects large-scale neuroscientific data sets to train machine learning based brain emulations. We believe it is possible to scale this technology in a safe, secure and trustworthy manner in the next decade and empower humanity in unprecedented ways. Role This is a senior / executive role responsibile for leading and enabling our AI research and / or engineering team to scientific breakthroughs on machine learning driven brain emulation, using exabytes of neurodata. Responsibilities Executing and shaping strategy: Early: neurodata scaling laws, transformer based non-invasive human brain foundation model and small organisms emulations Medium: GPT-4 sized training runs for Mice and Non-Human Primate emulation5y+ : Human brain emulation prototypes on exascale compute Budgeting: Responsible for R&D budget Expected budget of ~$30M in first 18 months, eventually hundreds of millions of dollars. (A similar amount will be invested in data acquisition efforts.) Team leadership and development Team will start off with 3-5 individuals and probably will quickly grow to 15, eventually 50-150 people in 2-3 yearsBuild development infrastructure from scratch to train frontier models Department specific Regulatory Compliance and Risk Management Stakeholder & partnership engagement Close collaboration with our data acquisition team Data centers and cloud providers Research institutions like Mila, Allen Institute or Janelia Publication of technical reports / papers Fundraising Skills Technical Experience with training large multi-billion parameter models on multimodal datasets 5-10+ years of industry experience in software development and exceptional ability. Demonstrated experience with distributed computing frameworks and large-scale cloud services. Ideally experience with the different types of neuroscientific datasets. Leadership Oversaw engineering departments, ideally in a start-up context Publication track record We expect everybody, independent of their role to be Practicing proactive, concise, and clear written communication. Exceptionally output driven and a well-calibrated, fast, autonomous, and diligent problem-solver. Excited about startup athmosphere - high initiative, agile, and a can-do attitude in a fast changing environment. Salary Competitive salaries, including equity, apply. #J-18808-Ljbffr

• You care deeply about building web experiences that scale, perform, and surface high-quality content in the right context.
• You're excited to partner with SEO and content discovery leaders to turn strategy into durable solutions.
• Define and execute the long-term technical roadmap for Answer Engine Optimization (AEO) and Large Model Optimization (LMO).
• You enjoy working across technical and non-technical teams to design systems that balance editorial priorities with platform needs.
• You're curious about how AI, LLMs, and answer engines are transforming discovery-and want to help lead our response.
• You believe in the mission of journalism and want to help ensure it stays discoverable and relevant in a fragmented digital ecosystem

• Define and execute the long-term technical roadmap for Answer Engine Optimization (AEO) and Large Model Optimization (LMO).
• Work cross-functionally with engineering, analytics, infrastructure, and audience teams to align technical implementation with strategic content goals.
• In conjunction with engineering build and maintain high-performance front-end web applications optimized for SEO, Core Web Vitals, accessibility, and structured metadata.
• Translate SEO and content discovery strategy into scalable solution, including rendering logic, metadata frameworks, routing structures, and platform enhancements.
• Build a strategy for structured data systems (e.g., Schema.org, JSON-LD) to improve visibility in traditional search and AI discovery surfaces.
• Drive rendering strategies (SSR, SSG, ISR) using frameworks like Next.js, Astro, or equivalent-prioritizing crawlability and speed.
• Build tooling and internal dashboards to monitor SEO health, crawl/indexing issues, and LLM inclusion performance.
• Serve as the company's internal thought leader on AI-powered search and discovery; advise teams on risks, opportunities, and emerging trends.
• Define and report on KPIs that connect technical SEO and AI discoverability efforts to business outcomes such as organic traffic, engagement, and LLM-generated visibility.

• 10+ years of experience working in digital content platforms, with a focus on SEO, content discovery, site performance, or platform strategy in media, publishing, or subscription-driven environments.
• Strong understanding of technical SEO, including structured data, sitemaps, crawl/indexation behavior, schema markup, rendering strategies (CSR, SSR, SSG) and CMS workflows.
• Deep expertise in SEO, AEO (Answer Engine Optimization), and GEO (Geographic/Local Optimization) strategies for both evergreen and real-time content.
• Experience using analytics and SEO tools (e.g., Google Search Console, GA4, Ahrefs, SEMrush, Chartbeat, Looker, Botify, Semrush) to drive decision-making and performance measurement.
• Demonstrated success influencing editorial strategy using audience insights, search trends, and platform algorithm changes.
• Comfortable shaping and executing long-term content discovery strategies in evolving environments like Search Generative Experience (SGE) and AI-powered platforms.
• Skilled at driving organic growth while supporting editorial independence and journalistic goals.
• Proven ability to lead cross-functional collaboration between Editorial, Engineering, Product, and Data teams to drive content discovery and subscription outcomes.

• Experience in global content strategy, multilingual optimization, or Generative AI applications for content discovery
• Exposure to semantic search, vector embeddings, or LLM integration for content systems.

• Competitive medical, dental and vision coverage
• Company-paid pension and 401(k) match
• Three weeks of vacation and up to three weeks of paid sick leave
• Nine paid holidays and two personal days
• 20 weeks paid parental leave for any new parent
• Robust mental health resources
• Backup care and caregiver concierge services
• Gender affirming services
• Pet insurance
• Free Post digital subscription
• Leadership and career development programs