Senior Director/Leader - AI Architecture Strategy – Commercial & Medical/Cx & Data

Job description

Nombre del sítio: UK - London - Brentford, India - Karnataka - Bengaluru, USA - North Carolina - Durham, USA - Pennsylvania - Philadelphia, USA - Pennsylvania - Upper Providence
Fecha de publicación: Feb 26 2024

GSK is a place where outstanding people do amazing things. As a science-led global healthcare company, we exist to help people do more, feel better, live longer. Our goal is to be one of the most innovative, best performing, and trusted healthcare companies.

Are you passionate about the future of artificial intelligence, including Generative AI (GenAI), and its transformative potential? Are you an innovative thinker who excels in building and developing AI architecture strategies while also incorporating GenAI and other leading AI capabilities? Do you have a deep technical understanding of how AI systems & algorithms work and know the critical success factors for real-world implementation? If so, we invite you to join our exceptional team as an AI Architecture Strategy Leader.

As the AI Architecture Strategy Lead, you will play a pivotal role in shaping our company's AI and GenAI direction and ensuring our initiatives align with our strategic objectives. You will build & lead a team of talented professionals and work collaboratively with cross-functional teams to develop, implement, and optimize AI and GenAI architecture strategies that drive innovation, efficiency, and competitive advantage.

Key Responsibilities:

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AI and GenAI Strategy Development:

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Develop and drive the overall AI and GenAI architecture strategy, ensuring alignment with business goals and industry best practices.

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Identify opportunities for AI and GenAI adoption, innovation, and optimization at a scale across Commercial & Medical functions.

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Team Leadership & Cross Team collaboration:

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Build, Lead & collaborate with a team of AI architects, GenAI specialists, data scientists, and engineers, fostering a collaborative and innovative work environment.

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Mentor and develop team members, providing guidance and support in their career growth.

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Technology Assessment:

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Stay current with AI and GenAI deployment trends, emerging technologies, and industry benchmarks.

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Align technical implementation with existing and future requirements.

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Evaluate and select the most suitable AI and GenAI technologies and tools to support strategic objectives.

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Collaboration and Stakeholder Management:

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Collaborate with cross-functional teams to define AI and GenAI project requirements, ensuring successful implementation.

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Work closely with senior leadership to communicate the value and impact of AI and GenAI architecture strategies.

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AI and GenAI Infrastructure Planning:

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Define and oversee the development of AI and GenAI infrastructure, including hardware, software, and data management systems.

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Ensure scalability and reliability of AI and GenAI solutions.

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Factor in cost optimisation from the ground up, to ensure long term commercial scalability.

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Performance Measurement and Optimization:

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Establish key performance indicators (KPIs) to measure the effectiveness of AI and GenAI architecture strategies.

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Continuously optimize AI and GenAI solutions to improve performance and ROI.

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Implement explainability by design, to ensure long term viability and trust.

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Compliance and Security:

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Ensure AI and GenAI systems comply with relevant regulations and industry standards.

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Pioneer and develop standards where required in this fast moving technology domain.

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Implement robust security measures to protect AI and GenAI assets and data.

 
Basic Qualifications

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Bachelor’s or Masters degree in computer science, Artificial Intelligence, or a related field.

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Proven experience in AI architecture, with a track record of successfully leading ML and deep learning strategy development and implementation. An in-depth knowledge of components and architectural trade-offs involved across the data governance, model building, deployment and production workflows of AI is a must.

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Strong understanding of machine learning, deep learning, GenAI technologies, and AI in combination with GenAI and the underlying frameworks, algorithms and methodologies involved.

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Strong understanding of ML and DevOps workflows and tools such as Git, containers, and CI/CD options.

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Deep understanding of end to end model management & qualification pipelines and other “explainability” methodologies.

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Proficiency in programming languages such as Python, R, or Java.

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Understand cloud based deployment models especially in Azure.

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Understand cost optimisation & management across the full compute stack.

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Excellent leadership and team management skills.

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Proven experience in building world class AI teams and the differentiating skill selections required.

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Exceptional problem-solving and analytical abilities.

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Effective communication and stakeholder management skills.

Preferred Qualifications

If you have the following characteristics, it would be a plus:

· 
PhD in computer science, Artificial Intelligence, or a related field.

· 
Pharmaceutical or Healthcare experience good to have

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Experience in deploying AI and GenAI solutions at scale is a plus.

· 
Industry certifications in AI or GenAI are advantageous.+

*LI-GSK

Como empresa impulsada por nuestros valores de enfoque al paciente, transparencia, respeto e integridad, sabemos que la inclusión y la diversidad son esenciales para que podamos tener éxito. Queremos que todos nuestros colegas prosperen en GSK, brindando sus experiencias únicas, asegurándonos de que se sientan bien y que sigan creciendo en sus carreras.  Como candidato para un papel, queremos que usted se sienta de la misma manera.

Creemos en una cultura de trabajo ágil para todos nuestros roles. Si la flexibilidad es importante para usted, lo alentamos a explorar con nuestro equipo de contratación cuáles son las oportunidades.

No dude en ponerse en contacto con nosotros si desea analizar cualquier ajuste a nuestro proceso que pueda ayudarlo a demostrar sus fortalezas y capacidades.  Puede llamarnos al 0808 234 4391 o enviar un correo electrónico Ukdiversity.recruitment@gsk.com .   

A medida que lo solicite, le pediremos que comparta alguna información personal que sea voluntaria. Esto se utilizará para ayudarnos a comprender qué tan bien estamos haciendo frente a nuestras ambiciones de inclusión y diversidad. Realmente lo agradeceríamos si pudiera tomarse unos momentos para completarlo. Tenga la seguridad de que los gerentes de contratación no tienen acceso a esta información, no se utiliza en ninguna parte del proceso de selección y trataremos su información de forma confidencial y la utilizaremos de forma anónima.
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