Senior Associate, Data & AI Advisory

Role Overview

• Conduct AI readiness assessments and data maturity evaluations that help clients understand their current capabilities and see where AI and automation can support value creation.
• Translate business challenges into prioritized Data and AI use cases and help shape transformation roadmaps that align technology investments with client objectives.
• Research emerging AI capabilities (large language models, machine learning, data management, generative AI, and agentic AI) and explain them in clear, accessible terms for non-technical stakeholders.
• Design and prototype agentic AI solutions across our core solution types: document processing and workflow automation; automated communication and prediction analytics; system integration and data synchronization; real-time external data validation; and business intelligence with work prioritization.
• Build proof-of-concept solutions and demos that help business teams explore the potential of Data and AI and analytics approaches, applying a structured approach to comparing models and options so recommendations are well-reasoned.
• Support SOW-based engagement delivery across discovery, kickoff, weekly status, and final delivery, contributing alongside the delivery team.
• Help clients adopt AI responsibly, sustainably, and compliantly, building appropriate safeguards and monitoring into solution design.
• Contribute to AI and data governance frameworks that promote responsible, sustainable, and compliant use of AI.
• Act as a bridge between technical and business domains, the role our team calls a Data Translator / Business Engineer, turning technical detail into business value.
• Partner with business stakeholders to understand their needs and help translate them into data
• and AI-driven solutions.
• Present concepts and findings to business audiences in clear language, including through workshops and working sessions.

Requirements

• Bachelor’s or Master’s degree in Computer science, Data Science, Engineering, or a related quantitative field.
• 3+ years of applied AI, data management, or machine learning experience.
• Strong internship, research, or academic project work is welcome in place of full-time experience.
• Hands-on experience building AI or machine learning solutions, including work with large language models, natural language processing (NLP), or agentic AI approaches.
• Strong programming skills in Python, with experience using modern AI development tools.
• Ability to move between technical detail and business value, and to communicate clearly with non-technical stakeholders.
• Strong analytical and problem-solving skills, with a structured, well-tested approach to AI work.

Tech Stack

• Python

Benefits

• Medical, Dental, and Vision Insurance on the first day of employment
• Flexible Spending Account and Dependent Care Account
• 401k with Profit Sharing
• 9+ holidays and discretionary time off structure
• Parental Leave – coverage for both primary and secondary caregivers
• Tuition Assistance Program and CPA support program with cash incentive upon completion
• Discretionary incentive compensation based on firm, group and individual performance
• Incentive compensation related to origination of new client sales
• Top rated wellness program
• Flexible working environment including remote and hybrid options