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Manager AI & Data Science

Manager AI & Data Science

OnsemiScottsdale, AZ, United States
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Manager AI & Data Science

Description for Internal Candidates

The AI and Data Science Manager will lead a cross-functional team of data scientists, machine learning engineers, and AI specialists to develop and deploy scalable AI / ML solutions that drive business value across the enterprise. This role requires a strategic thinker with hands-on technical expertise and a strong ability to translate business challenges into data-driven solutions.

Key Responsibilities

  • Lead the design, development, and implementation of GenAI models & agents. Oversee the end-to-end lifecycle of AI / ML projects—from use case definition and data preparation to model development, deployment, and monitoring.
  • Develop timelines, milestones, and metrics to effectively plan and execute projects.
  • Ensure the scalability, reliability, and performance of AI models and analytics platforms.
  • Manage and mentor a team of data scientists and AI / ML engineers.
  • Translate complex technical concepts and insights to non-technical stakeholders.
  • Support and build presentations on our GenAI products & solutions for clients and leadership.
  • Develop and implement best practices for AI model development, deployment, and monitoring.
  • Execute the AI and data science roadmap aligned with business goals and digital transformation initiatives.
  • Team Management : Lead, mentor, and grow a high-performing team of data scientists, ML engineers, and analysts. Foster a collaborative and innovative team culture.
  • Cross-Functional Collaboration : Partner with business units, IT, and product teams to identify opportunities for AI-driven automation and insights.
  • Innovation & Prototyping : Drive rapid prototyping and proof-of-concept development for emerging AI use cases, including generative AI, predictive modeling, and intelligent agents.

Requirements :

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
  • 8+ years of experience in data science, machine learning, or AI, with at least 3 years in a manager role.
  • Proven experience deploying AI / ML models in production environments.
  • Proficiency in Python, SQL, and ML frameworks (., TensorFlow, PyTorch, Scikit-learn).
  • Strong understanding of MLOps, data engineering pipelines, and cloud platforms (., Azure, AWS).
  • Excellent communication and stakeholder management skills.

    • Preferred Knowledge and Experience :

  • Semiconductor industry experience.
  • Experience with tools like Databricks, Azure ML, and Snowflake.
  • Understanding of ERP platform and experience in enabling AI in business functions like sales, HR, finance, operations, etc.
  • Understanding of AI security and compliance frameworks.

    • Competencies :

  • Self-motivated, able to multitask, prioritize, and manage time efficiently
  • Strong problem-solving skills
  • Data analysis skills. Ability to analyze complex data and turn it into actionable information
  • Collaboration and teamwork across multiple functions and stakeholders around the globe
  • Flexibility and adaptability
  • Process management / process improvement
  • Drive for results, Able to work under pressure and meet deadlines
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