Senior Associate, Data & AI Advisory

• 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.

• 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. • Experience with agentic or autonomous agent design and AI-assisted development workflows. • Exposure to taking AI or machine learning solutions beyond a notebook toward deployment, for example through a major cloud platform, containerization, or basic monitoring, gained via internships, research, or coursework. • Exposure to responsible AI practices such as model evaluation, explainability, and fairness or drift checks. • Familiarity with business intelligence tools (for example, Power BI or Tableau) and modern data platforms (for example, Snowflake, Databricks, or Spark). • Exposure to client business systems and ERPs (NetSuite, QBO/IES, Acumatica, or Sage) is a plus. • Interest in client-facing advisory work and a helpful, customer-oriented approach.