Senior Associate, Data & AI Advisory

Aprio

. 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.

Posted 6/11/2026full-timeAtlanta • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

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

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Hard Skills & Tools

AI readiness assessmentsdata maturity evaluationsmachine learninglarge language modelsnatural language processingagentic AIdata managementproof-of-concept solutionsbusiness intelligencedata synchronization

Soft Skills

communicationanalytical skillsproblem-solvingbusiness translationstakeholder engagementpresentation skillscollaborationstructured approachadaptabilityvalue creation