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.
A data-minded cybersecurity consultant who builds things. You're as comfortable in front of a client room as you are in a Python notebook or low-code development environment. You think in structures—how do you capture the right inputs, surface the right insights, and produce outputs that drive decisions? You have a strong foundation in cyber readiness and recovery concepts, and you use that knowledge to design tools that make engagements sharper and scalable. You're familiar with Azure, comfortable using AI as a development accelerator, and you care deeply about the quality and usability of what you produce. You pick up new domains, tools, and environments quickly—and you bring that same curiosity to every engagement.
You bring executive presence to client interactions, can translate complex technical concepts for any audience, and stay composed and focused when the path forward isn't fully defined.
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
Travel to client sites as needed (estimated 25–50%); primarily Monday–Thursday cadence
Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client 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)
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
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 07/30/2026.
Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:
U.S. Employee Benefits | Accenture
Role Location Annual Salary Range
California $70,350 to $205,800
Cleveland $59,100 to $164,600
Colorado $63,800 to $177,800
District of Columbia $68,000 to $189,300
Illinois $59,100 to $177,800
Maine $54,400 to $151,400
Maryland $63,800 to $177,800
Massachusetts $63,800 to $189,300
Minnesota $63,800 to $177,800
New York $66,300 to $205,800
New Jersey $68,000 to $205,800
Virginia $59,100 to $189,300
Washington $80,200 to $189,300
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