POSITION OVERVIEW:

The AI / Analytics Platform Lead Solutions / Product Architect is responsible for overseeing the design, development, and implementation of AI and analytics systems within an organization. Their job responsibilities include:

• Lead the design and development of AI/analytics platforms, ensuring they align with the company’s business needs and objectives.
• Develop architectural blueprints and standards for AI and analytics systems, including data models, data ingestion pipelines, and data transformation processes.
• Coordinate with data scientists, data engineers, and other stakeholders to understand data requirements and translate them into technical specifications.
• Oversee the implementation of AI/analytics solutions, ensuring they meet quality standards and performance metrics.
• Evaluate new technologies and tools related to AI and analytics and incorporate them into the platform architecture as needed.
• Provide technical leadership and mentorship to the team, fostering an environment of continuous learning and improvement.
• Participate in strategic planning and decision-making at the executive level, providing expert advice on AI and analytics technologies and strategies.
• Ensure compliance with data privacy regulations and best practices in data security.

REQUIREMENTS:

• Python (Jupyter Notebook)
• TypeScript/JavaScript (Node.JS)
• AWS foundational technologies
• AWS SageMaker
• Clearance Required: Current Secret
• Must reside in the DC Metro area and be able to attend regularly scheduled in-person meetings

PREFERRED SKILLS AND QUALIFICATIONS:

• Knowledge of CI/CD
• EMR Studio
• A Top Secret clearance is preferred

• Lead the design and development of AI/analytics platforms, ensuring they align with the company’s business needs and objectives.
• Develop architectural blueprints and standards for AI and analytics systems, including data models, data ingestion pipelines, and data transformation processes.
• Coordinate with data scientists, data engineers, and other stakeholders to understand data requirements and translate them into technical specifications.
• Oversee the implementation of AI/analytics solutions, ensuring they meet quality standards and performance metrics.
• Evaluate new technologies and tools related to AI and analytics and incorporate them into the platform architecture as needed.
• Provide technical leadership and mentorship to the team, fostering an environment of continuous learning and improvement.
• Participate in strategic planning and decision-making at the executive level, providing expert advice on AI and analytics technologies and strategies.
• Ensure compliance with data privacy regulations and best practices in data security