Senior Manager, AI and Data Science Solution Architect

hace 4 semanas

Ciudad de México, Ciudad de México Pfizer A tiempo completo

Role Summary

Pfizer Digital's Artificial Intelligence, Data, and Advanced Analytics organization (AIDA) is seeking a Senior Manager, AI and Data Science Solution Engineer to leverage cutting-edge technology and inform critical business decisions. As a technical expert within the Data Science Industrialization team, you will architect and implement AI solutions and reusable AI components, accelerating use case delivery and promoting self-service, productization, and collaboration.

Key Responsibilities

  • Develop scalable and reliable AI solutions and reusable software components.
  • Enforce coding standards, best practices, and thorough testing to ensure reliability and maintainability.
  • Define and implement robust API and integration strategies to seamlessly connect reusable AI components with broader systems.
  • Define and implement robust technical strategies in areas such as API integration, industrialized AI accelerators, and the delivery of scalable AI solutions.
  • Demonstrate a proactive approach to identifying and resolving potential system issues.
  • Train and guide junior developers on concepts such as data analytics, machine learning, AI, and software development principles, tools, and best practices.
  • Foster a collaborative learning environment within the team by sharing knowledge and expertise.
  • Act as a subject matter expert for solution engineering on cross-functional teams in bespoke organizational initiatives.
  • Direct research in areas such as data science, software development, data engineering, and data pipelines.
  • Communicate value delivered through reusable AI components to end-user functions and evangelize innovative ideas of reusable and scalable development approaches.
  • Provide strategic and technical input to the AI ecosystem, including platform evolution, vendor scan, and new capability development.
  • Partner with AI use case development teams to ensure successful integration of reusable components into production AI solutions.
  • Partner with AIDA Platforms team to define best practices for reusable component architecture and engineering principles.

Qualifications

  • Bachelor's degree in AI, data science, or computer engineering related area.
  • 7+ years of work experience in data science, analytics, or solution engineering, with a track record of building and deploying complex software systems.
  • Recognized by peers as an expert in data science, AI, or software engineering with deep expertise in data science or backend solution architecture.
  • Expert knowledge of backend technologies, containerization technologies, API design principles, and experience with distributed systems and databases.
  • Strong understanding of the Software Development Life Cycle (SDLC) and data science development lifecycle.
  • Demonstrated experience interfacing with internal and external teams to develop innovative AI and data science solutions.
  • Experience working in a cloud-based analytics ecosystem.
  • Highly self-motivated to deliver both independently and with strong team collaboration.
  • Ability to creatively take on new challenges and work outside comfort zone.
  • Strong English communication skills (written & verbal).
  • Advanced degree in Data Science, Computer Engineering, Computer Science, Information Systems, or related discipline.
  • Experience in solution architecture & design.
  • Experience in software/product engineering.
  • Strong hands-on skills in ML engineering and data science.
  • Experience with data science enabling technology, such as Dataiku Data Science Studio, AWS SageMaker, or other data science platforms.
  • Experience in CI/CD integration.
  • Deep understanding of MLOps principles and tech stack.
  • Experience with Dataiku Data Science Studio.
  • Hands-on experience working in Agile teams, processes, and practices.

Work Location Assignment

Mexico City

EEO (Equal Employment Opportunity) & Employment Eligibility

Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, or disability.

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