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Shield AI, a venture-backed defense-tech company, is seeking a Senior Staff member for Workplace AI to partner with the Director of Workplace AI. This role focuses on understanding business problems across the organization, shaping AI use cases, quantifying impact, and producing decision-quality analyses that enable leadership to make informed, rapid decisions.
You will work cross-functionally to clarify ambiguous business needs, analyze workflows and data, support build-versus-buy evaluations, and track how AI solutions perform against baselines and ROI expectations.
Key responsibilities include:
- Collaborating with business stakeholders to translate ambiguous requests into clear problem statements, hypotheses about AI leverage, and testable success criteria
- Mapping current workflows, identifying pain points and inefficiencies, and quantifying potential impact of AI solutions (time savings, error reduction, risk mitigation, throughput gains)
- Working with the Director and technical partners to define use-case scope, requirements, and business value; building business cases comparing options
- Conducting targeted market research, compiling vendor information, and building comparison frameworks (capabilities, cost, risk, fit) to inform build-versus-buy decisions
- Establishing pre-deployment baselines with business teams and designing practical, business-facing metrics and dashboards to track adoption and value post-deployment
- Drafting concise business case documents, evaluation summaries, and ROI updates for senior leadership consumption and action
- Monitoring usage and outcome data, comparing performance against baselines and expectations, and identifying where AI solutions succeed or underperform
- Using feedback, usage, and outcome data to inform training focus, messaging, and iteration priorities; surfacing insights to refine adoption strategies
Shield AI's technology includes Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies, with operations worldwide across the U.S., Europe, the Middle East, and Asia-Pacific.
Requirements:
- 12 years of experience in consulting, business analysis, product strategy, transformation, or similar analytically heavy individual contributor roles
- Strong fluency with modern AI/GenAI concepts and enterprise productivity tools; ability to understand solution patterns and constraints
- Demonstrated experience structuring ambiguous business problems and delivering clear, data-informed recommendations
- Strong analytical and problem-solving skills; comfort with quantitative analysis on operational and business metrics (Excel/Sheets, BI tools, or similar)
- Ability to translate stakeholder conversations and data into crisp narratives, business cases, and recommendation documents
- Experience working cross-functionally with business stakeholders on technology-enabled change (tools, workflows, or process improvements)
- Strong communication skills, particularly in written form (memos, decks, summaries) for senior, non-technical audiences
Preferred qualifications:
- Consulting background (strategy, operations, or analytics) or internal strategy/ops roles with a focus on data-driven decision-making
- Experience building simple ROI models or value frameworks for technology or process changes
- Exposure to vendor selection, SaaS evaluations, or market scans in a B2B/enterprise context
- Familiarity with basic BI or analytics tools (e.g., Power BI, Tableau, Looker) for building simple adoption/value views
