Shield AI is a leading defense-tech company dedicated to protecting service members and civilians through advanced intelligent systems. We are seeking a Senior Staff member for our Workplace AI team to partner with leadership in shaping our AI strategy, identifying high-impact use cases, and driving data-informed decision-making across the organization.
Key responsibilities
- Collaborate with business stakeholders to translate ambiguous challenges into clear problem statements and testable AI-driven hypotheses.
- Map existing workflows to identify inefficiencies and quantify the potential impact of new AI solutions on productivity and risk reduction.
- Conduct market research and build comparison frameworks to support build-versus-buy recommendations for enterprise technology.
- Design business-facing metrics and dashboards to track AI adoption, performance against baselines, and overall return on investment.
- Draft concise business cases, evaluation summaries, and strategic updates for senior leadership to facilitate rapid, informed decision-making.
Requirements
- Minimum of 12 years of experience in consulting, business analysis, product strategy, or similar analytically intensive roles.
- Strong fluency in modern AI and GenAI concepts, with the ability to understand technical solution patterns and constraints.
- Proven ability to structure complex, ambiguous business problems and deliver clear, data-backed recommendations.
- Exceptional analytical skills with proficiency in quantitative analysis using Excel, Sheets, or BI tools.
- Strong written communication skills, with a track record of creating effective memos and presentations for senior audiences.
What we offer
- The opportunity to work at the forefront of defense technology and AI integration.
- A fully remote work environment that supports global collaboration and flexibility.
- Exposure to high-level strategic decision-making and cross-functional leadership partnerships.
- A culture focused on innovation, impact, and the development of cutting-edge autonomous systems.