The ideal candidate will blend deep technical expertise with strategic foresight to lead a team of architects and collaborate cross-functionally to unlock the full potential of data and AI. They should demonstrate advanced proficiency in enterprise data architecture, cloud platforms, and AI/ML technologies, with a proven ability to design scalable solutions that support complex business needs. Strong communication and stakeholder management skills are essential for guiding cross-functional teams and aligning technical initiatives with organizational goals. AI/ML Integration: Model development and deployment using frameworks such as TensorFlow, PyTorch, or Scikit-learn Familiarity with cloud-based ML platforms, such as AWS SageMaker, Azure Foundry, or Google AI Platform, Mosaic AI Experience in utilizing tools like MLflow for managing the ML lifecycle, including experimentation, reproducibility, and deployment Knowledge of natural language processing (NLP) and/or reinforcement learning techniques as applicable to business use cases Ability to integrate advanced analytics and AI/ML models into existing data workflows, ensuring seamless access and usability Software Evaluations & Innovation Lead the assessment and selection of data and AI software platforms, tools, and frameworks to ensure alignment with architectural standards and business needs. Presentation skills: ability to present and discuss technical information in a manner that establishes rapport, persuades others, and establishes understanding for technical and non-technical audiences.
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