AI Consultant

Overview

Job Title: Artificial Intelligence Business Consultant
Location: Hybrid (U.S.)
Job Type: Full-Time

About SDG Consulting: SDG Consulting is a global consulting firm specialized in Data & Analytics. We believe Artificial Intelligence is the next productivity frontier and the defining competitive advantage of our time. We partner with the leaders of the world's most influential enterprises to solve their most important challenges, moving beyond strategy to achieve total transformation and redefine what is possible.

Our Artificial Intelligence Practice is the engine of this transformation. Our mission is to help clients define an artificial intelligence strategy to gain sustainable competitive advantage; design intelligent solutions that accelerate innovation, enhance human creativity, and unlock new levels of productivity; and implement these transformative technologies through sophisticated data integration, advanced model training, and the deployment of autonomous, agentic workflows. Our approach is rooted in "hybrid intelligence"—harnessing the foresight and precision of data with the creativity and understanding of people to create unimagined opportunities.

Position Overview
:
As an Artificial Intelligence Consultant, you help clients understand and adopt AI. You will operate at the intersection of business process and engineering. Your mission is to advise clients about how to adopt AI, helping them demystify the complexities of AI and chart a clear, value-driven path from initial concept to scaled implementation.

This is not a traditional advisory role; you will be a hands-on project manager, working with multidisciplinary teams to build and deploy AI solutions. This role is fundamentally different from traditional management consulting, focusing on tangible, technology-driven outcomes.

• Analysis & Strategy: Perform financial and operational analysis of businesses to identify and quantify the highest-value opportunities for applying artificial intelligence. Build a business case and methods to measure the results of our work.
• Stakeholder Influence: Influence business managers and client staff to change how they think about their business, challenging core assumptions in light of AI capabilities. Effectively listen to the concerns of a client to build a sense of empathy and trust.
• Communication: Prepare presentations that explain to clients the reasoning behind an AI technical design and how to interpret model outputs that they may find counter intuitive. Effectively answer questions from clients.
• Project Management: Assist in the day-to-day project management of cross-functional teams that require close collaboration of data scientists, engineers, and business analysts using agile project management methodologies to ensure the timely delivery of high-impact solutions.
• Ground AI in Enterprise Truth: Guide AI engineers in how to understand a company's proprietary data and incorporate it into a secure and verifiable fact base.
• Enable Autonomous Action: Become an expert in the business process workflows of a client and use this insight to help engineers design and deploy agentic workflows.
• Workflow Redesign: When a client needs to change how they operate to leverage AI, collaborate with client business teams to redesign and reimagine core workflows, leveraging agentic AI to increase productivity and augment human capabilities.
• Innovation: Combine industry analysis with technical expertise to help identify situations where novel AI models may drive the innovation of new products and services, helping clients create new revenue streams and disrupt their markets.
• Generative AI Enablement: Help clients to improve the effectiveness of creative processes through the use of generative AI.
• Data Integration: Collaborate with data engineers to implement data pipelines that seamlessly integrate vast streams of unstructured data (e.g., text, images, video) into core business analytics functions, unlocking previously inaccessible insights.
• Lifecycle Management: Manage the end-to-end project lifecycle, from scoping and requirements gathering to prototyping, testing, deployment, and ongoing…