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Head of AI Platform Architecture & R&D AI Architect

Job Description

About This Role:
As the Head of AI Platform Architecture, you will be an integral part of the AI Capability Team (AICT) Leadership team and expected to be an expert in Enterprise AI Architecture and platform integration with experience in R&D domain. You will lead the charge in developing a robust and scalable AI architecture, ensuring its alignment with enterprise-wide initiatives to enhance operational efficiencies and maximize the value of AI investments. Your expertise will guide the seamless integration of cutting-edge AI technologies with existing systems, driving innovation and supporting the strategic vision of making our company a trailblazer in digital health neuroscience. With a direct reporting line to the AICT Head, you will manage key goals such as strategic partnership building and continuous enhancement of our AI capabilities, positioning you as a cornerstone of our business's digital transformation. Your contributions will not only influence our long-term strategy but also reinforce our commitment to staying at the forefront of AI technology in our industry.

What You’ll Do:

  • Define and lead the strategy for enterprise AI architecture, ensuring it supports our AICT strategy and organizational objectives.
  • Drive execution of complex strategies into an integrated roadmap, allocating resources efficiently and maintaining high coordination for strategy fulfillment.
  • Manage strategic partnerships related to AI architecture, from identification to negotiation.
  • Stay abreast of new developments in AI and enterprise architecture, assessing their impact and utility.
  • Offer expert advice to the leadership team on AI architecture and cross-enterprise integration.
  • Oversee integration of all AI-related projects across the enterprise, optimizing for cost-effectiveness and value.
  • Engage with stakeholders at all levels, understanding their needs and leading the development of stakeholder engagement plans.
  • Assess project feasibility, provide strategic recommendations, and prioritize development activities to build a talent pipeline.
  • Communicate the function's strategy and business plan within the team, linking to the broader organizational mission and motivating extraordinary achievements.

Qualifications

Who You Are:

You are a visionary with a background and education in mathematics, statistics, computer science, computer engineering, or a related field. With over a decade of experience in data science, machine learning, or software engineering, you have honed your ability to lead high-performing teams and manage complex projects. Your deep experience in clinical development and regulatory requirements has equipped you with a unique perspective on the real-world evidence ecosystem. You are known for your independent decision-making skills and ability to influence cross-functional teams. As a forward-thinker, you are always exploring new horizons, and your enthusiasm for innovation makes you a natural leader. You are not just an expert in your field; you are a strategic thinker who understands the big picture and the intricate dance of aligning technology with business goals.

Required Skills:

  • Minimum of 10 years’ experience in data science, machine learning, or software engineering.
  • Bachelor's degree in mathematics, statistics, computer science, computer engineering, or related field.  Master's degree preferred.
  • Proven leadership of high-performing technical teams.
  • Expertise in initiating and managing complex interdisciplinary projects, particularly in software and technology for clinical studies.
  • In-depth knowledge of Clinical Development, Clinical Data Management, Regulatory Requirements, and the Real World Evidence ecosystem.
  • Strong technical expertise in AI platform architecture and strategic planning.
  • Proficiency in communication, translating technical concepts for various stakeholders.
  • Continuous improvement and innovation mindset in AI platform architecture.
  • Familiarity with enterprise architecture frameworks and methodologies.
  • Expertise in AI-enabling platforms and tools such as cloud computing, Python, and ML Ops technologies.
  • Comprehensive understanding of AI and machine learning concepts, algorithms, and frameworks.
  • Deep knowledge of data architecture, data integration, and data governance.
  • Independent work ethic, initiative taking, and leadership qualities.
  • Awareness of data security best practices and regulatory compliance requirements.
  • Excellent communication and presentation skills.

Preferred Skills:

  • Familiarity with leading-edge AI technologies and their application in neuroscience.
  • Experience in fostering innovation within large-scale, complex organizations.

Additional Information

"Diversity is key for the survival of our ecosystem. I believe it is the single most important factor for a balanced flourishing environment where everyone thrives.” Guy Hadari – Chief Information Officer-

Why Biogen?

We are a global team with a commitment to excellence, and a pioneering spirit. As a mid-sized biotechnology company, we provide the stability and resources of a well-established business while fostering an environment where individual contributions make a significant impact. Our team encompasses some of the most talented and passionate achievers who have unparalleled opportunities for learning, growth, and expanding their skills. Above all, we work together to deliver life-changing medicines, with every role playing a vital part in our mission. Caring Deeply. Achieving Excellence. Changing Lives.

At Biogen, we are committed to building on our culture of inclusion and belonging that reflects the communities where we operate and the patients we serve. We know that diverse backgrounds, cultures, and perspectives make us a stronger and more innovative company, and we are focused on building teams where every employee feels empowered and inspired. Read on to learn more about our DE&I efforts.

All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, marital status, race, color, national origin, ancestry, ethnicity, religion, age, veteran status, disability, genetic information or any other basis protected by federal, state or local law. Biogen is an E-Verify Employer in the United States.

 

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Average salary estimate

$175000 / YEARLY (est.)
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What You Should Know About Head of AI Platform Architecture & R&D AI Architect, Biogen

Are you ready to take your career to the next level as the Head of AI Platform Architecture at Biogen in Cambridge, MA? In this exciting role, you'll be at the forefront of innovation, leading the AI Capability Team (AICT) and shaping the future of digital health neuroscience. Your expertise in Enterprise AI Architecture and experience in R&D will empower you to develop a robust and scalable AI architecture that seamlessly integrates with our existing systems. Your strategic vision will not only guide the development of cutting-edge technologies but also support our extensive initiatives to enhance operational efficiencies and maximize the value of our AI investments. As you manage strategic partnerships and offer expert advice to our leadership team, you'll play a pivotal role in our digital transformation journey. Your contributions will help position us as trailblazers in the AI space, influencing long-term strategies while fostering a culture of continuous improvement. We're seeking a passionate leader with a strong background in data science, machine learning, or software engineering, who can inspire cross-functional teams and shape the AI landscape in our organization. If you're looking for an opportunity where your leadership and innovative mindset will shine, then this might be the perfect fit for you at Biogen.

Frequently Asked Questions (FAQs) for Head of AI Platform Architecture & R&D AI Architect Role at Biogen
What are the main responsibilities of the Head of AI Platform Architecture at Biogen?

The Head of AI Platform Architecture at Biogen is responsible for defining and leading the strategy for enterprise AI architecture, managing complex strategies into a cohesive roadmap, and overseeing integration of AI projects across the enterprise. Your role includes engaging with stakeholders, managing strategic partnerships, and providing expert guidance on AI technologies, making sure that every project aligns with our organizational objectives.

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What qualifications are required for the Head of AI Platform Architecture position at Biogen?

To qualify for the Head of AI Platform Architecture role at Biogen, candidates should possess a minimum of 10 years of experience in data science, machine learning, or software engineering. A bachelor's degree in a relevant field, with a master's degree preferred, is essential. Additionally, candidates should have proven leadership experience, strong technical expertise in AI platform architecture, and in-depth knowledge of clinical development and regulatory requirements.

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How does the Head of AI Platform Architecture contribute to Biogen's strategic goals?

The Head of AI Platform Architecture plays a critical role in driving Biogen's strategic goals by developing and executing an integrated roadmap for AI architecture. This position influences the long-term strategy, ensuring alignment with enterprise-wide initiatives, promoting cost-effective solutions, and enabling innovation that ultimately supports our vision of delivering advanced therapies and enhancing patient outcomes.

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What skills are essential for leading AI-related projects at Biogen?

Essential skills for leading AI-related projects at Biogen include strong technical expertise in AI and machine learning concepts, proficiency in data architecture and governance, excellent communication skills to translate complex ideas for diverse stakeholders, and a solid understanding of enterprise architecture frameworks. Additionally, a mindset focused on continuous improvement and innovation is vital for successfully navigating complex interdisciplinary projects.

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What is the company culture like at Biogen for the Head of AI Platform Architecture?

Biogen fosters a culture of inclusion and innovation where every team member's contributions are valued. As the Head of AI Platform Architecture, you'll be part of a global team committed to excellence, where diverse perspectives stimulate creativity. We're dedicated to supporting your professional growth while ensuring that you play a significant role in our mission to revolutionize neurological treatments, making a genuine difference in patients' lives.

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Common Interview Questions for Head of AI Platform Architecture & R&D AI Architect
Can you share your experience with enterprise AI architecture and how it relates to this role?

In framing your response, focus on specific projects or initiatives where you developed or improved enterprise AI architectures. Highlight relevant technologies or methodologies used, and discuss how your approach increased efficiency, innovation, or value in previous roles. Be sure to show how your experience aligns with the objectives of Biogen's AICT team.

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What strategies do you employ to maintain stakeholder engagement in AI projects?

When answering this question, emphasize your ability to identify and understand stakeholder needs. Share methods you use to communicate updates, gather feedback, and align project goals with organizational objectives. Provide concrete examples from past experiences where your strategies led to successful outcomes.

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How do you ensure alignment between AI initiatives and business goals at an organizational level?

Discuss your approach to developing a strategic roadmap that incorporates both AI initiatives and core business goals. Mention any frameworks or methodologies you use to maintain this alignment and provide examples of successful implementations in previous roles that led to significant advancements in the organization.

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What are the key challenges you foresee in implementing AI architecture, and how do you plan to address them?

To effectively respond, outline potential challenges such as data security, integration with legacy systems, or regulatory compliance. Then, explain your proactive planning, risk assessment methods, and how you have successfully navigated similar obstacles in prior experiences. This shows your ability to think strategically and anticipate issues.

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Describe your experience with managing interdisciplinary teams in AI-related projects.

Reflect on your leadership style and how you've effectively motivated and integrated diverse team members in past projects. Share examples that demonstrate your skills in collaboration, conflict resolution, and leveraging team strengths to achieve project goals, documenting the successful outcomes of interdisciplinary efforts.

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What is your understanding of the compliance requirements that affect AI in clinical settings?

In your answer, be sure to mention key regulatory bodies and standards in the field of clinical development. Provide examples of how you've navigated compliance challenges in previous roles and your strategies for ensuring adherence to these regulations during AI project implementation.

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How do you approach continuous improvement in AI platform architecture?

Express your commitment to innovation and adaptability. Discuss specific methodologies, such as Agile or Lean principles, that you've used to drive continuous improvement. Provide tangible examples of how this commitment has led to better project outcomes or enhanced efficiencies in past positions.

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How do you stay updated with the latest advancements in AI technology?

Detail your methods for staying informed, such as following relevant publications, attending industry conferences, or engaging with professional networks. Emphasize how this dedication has contributed to your previous roles and how you'll apply this knowledge to maintain Biogen’s competitive edge.

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Can you share your approach to securing strategic partnerships in AI architecture?

Describe how you identify potential partners, evaluate compatibility, and negotiate agreements while ensuring mutual benefits. Share success stories of prior partnerships that resulted in innovation or growth within your organization and how those experiences can translate to Biogen.

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What role do you believe diversity plays in AI development, and how can it impact outcomes?

Discuss the importance of including diverse perspectives to enhance creativity, problem-solving, and innovation in AI development. Share examples of how diversity has positively impacted project outcomes in your experience and how you plan to advocate for inclusivity within the AICT team at Biogen.

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DATE POSTED
January 28, 2025

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