Do you want to make an impact on patient health around the world? Do you thrive in a fast-paced environment that brings together scientific and clinical domains together through data and AI? Then join Pfizer Digital's AI, Data and Analytics organization where you can leverage cutting-edge technology including AI and ML to inform critical business decisions and improve customer experiences for our patients and physicians. Our collection of global teams drives insights to action for some of the most critical business questions for the company. Our AI professionals are based in over 30 countries around the world and come from diverse backgrounds including: market research, data science, digital analytics, finance, investment banking, corporate development, and consulting. Join one of our teams and be at the forefront of Pfizer's digital transformation, driving innovation and bringing advance analytics to change patients' lives.
Role OverviewWe are looking for a highly skilled
Senior Manager, AI Solutions Lead to join our AI Innovation team. This role will focus on driving the development and deployment of advanced AI applications, leading proof-of-concept (PoC) projects, and ensuring the successful integration of AI into prototypes. As a Senior Manager, you will oversee key AI initiatives and mentor junior team members, allowing the team to scale and take on more complex AI-driven projects.You will collaborate with cross-functional teams including data scientists, engineers, and product managers to define, develop, and deliver AI solutions. Your expertise in machine learning, Generative AI, and AI systems integration will be critical in advancing the team's innovation capabilities.
Key Responsibilites:- Lead the design, development, and deployment of AI-driven PoC and prototyping efforts.
- Provide strategic direction on the application of AI and machine learning technologies to solve business problems and drive innovation.
- Work closely with data scientists to select, fine-tune, and optimize machine learning models, ensuring they meet performance, scalability, and accuracy requirements.
- Collaborate with engineering teams to ensure seamless integration of AI models into prototypes and backend systems.
- Mentor and guide junior AI engineers and data scientists, fostering a culture of innovation and continuous learning.
- Ensure that AI solutions are tested, validated, and prepared for handoff to production teams, following best practices in AI ethics, explainability, and security.
- Keep up-to-date with the latest trends in AI/ML, continuously exploring new tools, frameworks, and methods to improve the team's capabilities.
- Communicate technical outcomes and progress to senior leadership and stakeholders, aligning AI goals with broader business objectives.
Basic Qualifications:- Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
- 7+ years of experience working in AI/ML or related fields, with proven expertise in developing and deploying machine learning models.
- Deep understanding of machine learning algorithms, statistical modeling, and model evaluation techniques.
- Strong experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and Python.
- Experience with data preprocessing, feature engineering, and working with large-scale datasets.
- Hands-on experience in deploying machine learning models in production environments, with a solid understanding of MLOps practices.
- Experience in leading teams or projects, with a track record of delivering successful AI solutions in a business environment.
- Excellent communication and leadership skills, with the ability to translate complex technical concepts to non-technical stakeholders.
Preferred Qualifications:- Experience with cloud platforms (AWS, Azure) and building AI pipelines in a cloud environment.
- Knowledge of Generative AI or natural language processing is highly desirable.
- Familiarity with ethical AI practices, model interpretability, and explainability techniques.
- Management consultant experience.
- Experience in the healthcare or pharmaceutical industries, understanding of domain-specific challenges in AI/ML applications.
Work Location Assignment: HybridPurpose
Breakthroughs that change patients' lives... At Pfizer we are a patient centric company, guided by our four values: courage, joy, equity and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives.Digital Transformation Strategy One bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience.Flexibility We aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony, attracts talent and enables everyone to be their best working self. Let's start the conversation!Equal Employment Opportunity We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this, in all its forms - allowing for us to be as diverse as the patients and communities we serve. Together, we continue to build a culture that encourages, supports and empowers our employees.Disability InclusionOur mission is unleashing the power of all our people and we are proud to be a disability inclusive employer, ensuring equal employment opportunities for all candidates. We encourage you to put your best self forward with the knowledge and trust that we will make any reasonable adjustments to support your application and future career. Your journey with Pfizer starts here!Information & Business Tech