Readiness, Response & Recovery Security AI Developer

Accenture • Chicago, IL

10d • Hybrid

About The Position

A cybersecurity consulting practice focused on helping organizations build real resilience—before, during, and after an incident. We design and run high-impact client engagements, and we build the data-driven tools that make those engagements better. Our team doesn’t just deliver advice; we create the structured frameworks, interactive assets, and analytical products that clients take home and actually use. We’re growing a capability at the intersection of cybersecurity expertise and applied data and development skills—and we want people who can do both.

Requirements

• Minimum of 3 years of experience spanning cybersecurity consulting and data-oriented development or analysis
• Minimum of 4 years of client-facing or strong consulting experience: you can lead a room, facilitate a difficult conversation, and present complex findings in plain language to diverse audiences, including executives
• Minimum of 4 years of demonstrated ability to build something—a tool, dashboard, structured template, or automated workflow—that others actually use in professional practice
• Minimum of 4 years of experience producing structured deliverables with analytical substance—not just slide decks, but frameworks, models, or data products that reflect real depth
• Minimum of 2 years of hands-on experience in Microsoft Azure environments; familiarity with Azure data and analytics services is a strong plus
• Minimum of 4 years of demonstrated experience in least one data or development layer: Python, Power BI, Power Apps/Automate, SQL, or a comparable stack
• Minimum of 1 year using AI coding assistants and generative tools as part of your everyday development workflow—not just occasionally, but fluently
• Bachelor's degree in Cybersecurity, Information Systems, Data Science, Computer Science, or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)

Nice To Haves

• You’ve built tools or assets that were adopted and scaled across a team or practice, not just used once
• You have experience designing structured decision-support frameworks or analytical products for security or risk use cases
• You hold a relevant certification: CISSP, CISM, SC-200, AZ-500, PL-300, or equivalent
• You have experience with AI governance, responsible use frameworks, or tool validation in a security context
• You’ve contributed to a CoE, internal capability build, or practice development initiative
• You have experience with KQL, Sentinel Workbooks, or similar query/visualization layers in Azure

Responsibilities

• Design and build proprietary tools, templates, and data products that support cyber readiness and recovery engagements—turning repeatable consulting work into structured, reusable assets
• Translate engagement workflows and client outcomes into functional prototypes using low-code platforms, AI-assisted development, and data visualization tools (Power BI, Azure Data services, Python, or similar)
• Own the full arc of a client engagement: from scoping and facilitation through synthesis, analysis, and delivery of polished, actionable outputs
• Work with data throughout—structuring inputs, analyzing results, and producing frameworks and reports that are clear, defensible, and decision-ready
• Collaborate with senior practitioners to identify where new tooling can improve consistency, speed, or quality across the practice’s service offerings
• Govern the tools you build: documentation, version control, onboarding guides, and iteration based on real-world use
• Build trusted client relationships; serve as a credible, articulate voice on cyber resilience strategy and the practical value of data-driven approaches
• Contribute to practice development—proposals, capability decks, and internal knowledge-sharing

Benefits

• medical
• dental
• vision
• life
• long-term disability coverage
• a 401(k) plan
• bonus opportunities
• paid holidays
• paid time off

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level