Senior Staff, Workplace AI (R5448)

Remote; San Francisco (CA); Presencial; USD 150 000 - 230 000; Tempo integral

Resumo da oferta

Shield AI, based in San Francisco, seeks a Workplace AI Analyst to partner with the Director of Workplace AI. You will translate stakeholder needs into clear AI use cases, define success criteria, and build concise business cases that enable rapid, data-driven decisions.

Across business units, you will quantify impact, design practical metrics and dashboards, and monitor ROI to inform buy-vs-build choices and improve efficiency.

Qualificações

• 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.

Responsabilidades

• Unpack ambiguous asks into clear problem statements, hypotheses about where AI adds leverage, and testable success criteria.
• Map current workflows, identify pain points and quantify potential impact of new AI solutions.
• 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.
• Partner with business teams to establish pre-deployment baselines; design metrics and dashboards to track adoption and value.
• Draft concise business case documents, evaluation summaries, and ROI updates for senior leaders.
• Monitor usage and outcomes; highlight where AI solutions are succeeding or underperforming.
• Use data to inform training focus, messaging, and iteration priorities; surface insights for adoption strategies.

Conhecimentos

Consulting

GenAI concepts

Data analysis

Excel/BI tools

Effective storytelling

Cross-functional work

Written communication

Ferramentas

Power BI

Tableau

Looker

Descrição da oferta de emprego

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.

Job Description:

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.