This role is a partner to the Director of Workplace AI. It focuses on collaborating with stakeholders to understand their business problems, shaping AI use cases, quantifying impact, and producing decision-quality analyses and materials that help the Director and VP make smart, fast calls.
The person in this role will work across business units to clarify needs, analyze processes and data, support build-versus-buy recommendations, and track how AI solutions perform against baselines and ROI expectations.
What you’ll do:
- Work with business stakeholders to unpack ambiguous asks into clear problem statements, hypotheses about where AI adds leverage, and testable success criteria.
- Map current workflows, identify pain points and inefficiencies, and quantify potential impact of new AI solutions(e.g., time saved, error reduction, risk reduction, throughput gains).
- Collaborate with the Director and technical partners to define use-case scope, requirements, and business value; build simple business cases comparing options.
- Run targeted market research, compile vendor information, and build comparison frameworks (capabilities, cost, risk, fit) that inform the Director’s buy vs build recommendations.
- Partner with business teams to establish pre-deployment baselines; design practical, business-facing metrics and dashboards to track adoption and value post-deployment.
- Draft concise business case documents, evaluation summaries, and ROI updates that senior leaders can consume quickly and act on.
- Monitor usage and outcome data, compare performance against baselines and expectations, and highlight where AI solutions are succeeding or underperforming.
- Use data (feedback, usage, outcomes) to inform training focus, messaging, and iteration priorities; surface insights that help the Director fine-tune adoption strategies.
Required qualifications:
- 12 years in consulting, business analysis, product strategy, transformation, or similar analytically heavy IC roles.
- Strong fluency with modern AI/GenAI concepts and enterprise productivity tools; able to understand solution patterns and constraints.
- Demonstrated experience structuring ambiguous business problems and delivering clear, data-informed recommendations.
- Strong analytical and problem-solving skills; comfortable with quantitative analysis on operational and business metrics (Excel/Sheets, BI tools, or similar).
- Ability to turn 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, especially 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.
Skills Required
- 12 years of experience in consulting, business analysis, product strategy, transformation, or similar analytically heavy individual-contributor roles
- Strong fluency with modern AI and generative AI concepts and enterprise productivity tools
- Experience structuring ambiguous business problems and delivering clear, data-informed recommendations
- Strong analytical and problem-solving skills, including quantitative analysis using Excel, Sheets, BI tools, or similar
- Ability to turn stakeholder conversations and data into concise narratives, business cases, and recommendation documents
- Experience working cross-functionally with business stakeholders on technology-enabled change, tools, workflows, or process improvements
- Strong written and verbal communication skills for senior, non-technical audiences
- Consulting background or internal strategy and operations experience focused on data-driven decision-making
- Experience building ROI models or value frameworks for technology or process changes
- Exposure to vendor selection, SaaS evaluations, or B2B and enterprise market scans
- Familiarity with Power BI, Tableau, Looker, or similar analytics tools
What the Team is Saying
Shield AI Compensation & Benefits Highlights
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Healthcare Strength — Company materials highlight comprehensive medical, dental, and vision coverage with mental-health support and an EAP. Third-party benefits summaries also portray health coverage as a strong component of the package.
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Retirement Support — Offerings include a 401(k) with employer matching, cited on the careers page and independent benefits directories. Multiple sources indicate a match exists, though exact formulas have varied over time and warrant confirmation.
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Equity Value & Accessibility — Company communications describe equity for all full-time hires and stock benefits as part of total rewards. Independent listings also note company equity/RSUs as a standard element.
Shield AI Insights
What We Do
At Shield AI, you won't wait years to see your work reach the field. You'll build hardware and software that operates in the real world right now, in the hands of the people who depend on it. Hivemind, our AI pilot, has been flying since 2018. It has flown more than 30 platforms, including an F-16, and it now sits under a U.S. Air Force production contract for Collaborative Combat Aircraft. When you write code or shape a system here, you contribute to technology with a proven flight record and a clear production future. V-BAT flies intelligence, surveillance, and reconnaissance missions with an operational record that stretches from Ukraine to the Indo-Pacific. It delivers eyes where they matter most, in the most demanding conditions on earth. The teams behind it watch their work get tested where the stakes are real. X-BAT takes its first flight this year. It's an AI-piloted fighter that needs no runway, built to operate where traditional aircraft can't. Join now and you help shape a program at its earliest, most formative stage. That's the kind of ground-floor work that defines a career. Do the most impactful work of your life, on problems that matter. Autonomy at this level asks a lot of you. You'll take on problems in perception, planning, and control that few teams anywhere are equipped to solve. You'll work across disciplines, from aerospace and robotics to machine learning and systems engineering, alongside people who hold themselves to an exacting standard and expect the same from you. Our mission is clear: protect service members and civilians with intelligent systems. That purpose runs through every decision, every design review, and every deployment. It's why the work here carries a weight you can feel. Ready to join our mission? Explore our open roles and find where you fit.
Why Work With Us
Founded in 2015 by a former Navy SEAL, Shield AI builds AI pilots and uncrewed aircraft. Veterans aren't an afterthought here, they're at every level. It's why the work carries weight: AI pilots and uncrewed aircraft flying real missions, from Ukraine to the Indo-Pacific, protecting service members and civilians.
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Shield AI Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
