Senior Associate AI & Data Consultant

Builds and designs AI models and data architectures, collaborating with cross-functional teams to integrate AI solutions and support continuous improvement through experimentation and evaluation. Supports technical innovation, adheres to evolving governance standards, implements technical initiatives, and contributes to process automation and accurate project documentation to enhance system effectiveness and performance., Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.

1. Builds and designs AI models and data architectures to enhance business processes and system performance.
2. Collaborates with cross-functional teams to integrate AI solutions into business applications.
3. Conducts experiments and evaluates AI initiative performance to support continuous improvement.
4. Supports technical innovation efforts and advancement of AI capabilities.
5. Adheres to developing AI and data governance standards aligned with organizational goals.
6. Implements and executes on technical initiatives and solutions.
7. Makes adjustments or recommends enhancements in technical systems and processes to solve somewhat complex technical problems or improve effectiveness of area of responsibility.
8. Assists in efforts related to the automation of repeatable data preparation and integration tasks.
9. Works with technical project teams to provide accurate documentation of data related to project and deliverables.

The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

1. Bachelor’s degree in Computer Science, Data Science, AI, Software Engineering, a related field, or equivalent education, training, and work-related experience.
2. Minimum of 3 years of professional experience in AI and data.
3. Understanding of AI models, data architectures, and analytics methodologies., 1. Advanced degree in a relevant technical discipline.
4. Experience in the financial services industry.
5. Basic understanding of regulatory compliance and data governance frameworks.