Job Title

Job Description Insight Globals client, a Technical System Integrator, is seeking to hire a Sr. AI & Data Enablement Leader to create the AI and data strategy and vision for a global enterprise organization. The work will be remote with a travel expectation to Greenville, SC for the go live and a few other key meetings. This consultant will bring their expertise in AI & Data enablement to help establish, operationalize, and scale enterprise AI and data capabilities. This role combines practical AI solution delivery with responsibility for defining AI foundations, operating models, governance, and enablement frameworks. The ideal candidate can both build AI solutions and shape how AI is governed and scaled across the organization. Familiarity with value-driven data deliveries such as Data Products or other Value concepts. pay range: $65-80/hr We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: Skills and Requirements 8+ years of experience in data, analytics, and AI consulting role Proven successful delivery Data analysis, statistical methods, and feature engineering. Designing and developing AI/ML solutions in enterprise environments. Defining AI foundations, including reference architectures, reusable patterns, and delivery frameworks. Establishing AI governance and operating models. Experience in an AI or Data Enablement Office or Center of Excellence. Familiarity with KPI frameworks for AI value measurement and adoption tracking. Experience enabling and mentoring data scientists, analysts, and AI engineers. Experience scaling AI initiatives across large, matrixed organizations.