Lead teams through client engagements focused on developing and delivering data-driven and AI-enabled strategies for large enterprises, collaborating with stakeholders to unlock growth and operational efficiency through advanced analytics, responsible AI, data governance, and technology transformation.
Locations (4)
Walnut Creek, California, United States
San Francisco, California, United States
Dallas, Texas, United States
Washington, District of Columbia, United States
Compensation
This position is also eligible for bonus compensation.
Responsibilities
Lead client engagements focused on data and AI strategy
Collaborate with teammates and client stakeholders to unlock growth and operational efficiency
Assess client data and AI maturity and prioritize use cases
Translate insights into actionable recommendations and strategic opportunity maps
Support prototyping and piloting AI and machine learning solutions
Requirements
Bachelor’s degree in a quantitative, technical, or business field
Master’s degree in a quantitative, technical, or business field
Support client engagements focused on developing and delivering data-driven and AI-enabled strategies for large enterprises, applying proprietary frameworks and strategic methodologies to assess maturity, identify use cases, prioritize investments, and enable enterprise-wide adoption of data and AI solutions.
Locations (3)
Walnut Creek, California, United States
Dallas, Texas, United States
Washington, D.C., United States
Compensation
This position is also eligible for bonus compensation.
Responsibilities
Collaborate with teammates and client stakeholders to unlock growth, operational efficiency, and measurable impact through advanced analytics, responsible AI, data governance, and technology transformation initiatives.
Support the identification, evaluation, and prioritization of AI and analytics use cases using standardized business case templates.
Gather and synthesize stakeholder perspectives through interviews, workshops, and surveys, translating insights into actionable recommendations.
Assist in prototyping and piloting AI and machine learning solutions, establishing success criteria, measuring business outcomes, and refining solutions.
Prepare high-quality deliverables, including strategy documents, roadmaps, business cases, and executive presentations.
