IT Developer - Data
Listed on 2026-02-15
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IT/Tech
AI Engineer, Data Analyst
Overview
BRMi is seeking a Technology Transformation Engineer to support our customer's Experience (Dev Ex) and AI-enablement initiatives. Our mission is to accelerate our software engineers, reduce cognitive load, and create outstanding developer experience. As the lead Technology Transformation Engineer, you will play a key role in creating and executing the enterprise change plan for the Dev Ex and AI-enablement strategy. As part of the Dev Ex and AI Transformation team, you will help shape the next generation of SDLC framework which enables smarter decisions, better efficiency, and stronger business outcomes.
This is not a traditional engineering role. It’s a chance to shape our SDLC processes (High-code and low-code platforms). This is a hands-on, senior-level individual contributor role where you will balance strategic vision with tactical execution. You’ll partner closely with engineering leadership, product teams, and other platform engineers to modernize, streamline, and enhance every part of the development lifecycle—from onboarding to deployment.
Benefits- Comprehensive Medical, Dental, and Vision Insurance
- Employer-Paid Life Insurance
- Employer-Paid Short-Term and Long-Term Disability Insurance
- 401(k)
- Paid Time Off (PTO) that includes Vacation Leave, Sick Leave, and 11 Paid Holidays
- Educational Assistance
Salary: 95k-115k
Hybrid in Vienna, VA
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Responsibilities- Collaborate with business and product teams to understand workflows, identify pain points, opportunities for improvement, and define technical requirements.
- Lead technical solution development for complex business challenges, from concept through deployment.
- Create/maintain the yearly roadmap and communicate the plan to all stakeholders in various forums (e.g., lunch and learns, roadshows, virtual walk-throughs, Demo sessions, Info graphic posters).
- Create/maintain executive leadership status reports which maps to roadmap.
- Improve and build upon existing production systems, guiding the team through operationally engrained workflows and enhancements
- Provide technical guidance and mentorship to junior engineers and other team members, fostering best practices in design and development.
- Ensure scalability and sustainability of solutions by working with IT and enterprise technology teams to move from prototypes to production.
- Support user adoption through clear documentation, SharePoint sites, training, and communication.
- Clearly tell the story of how Dev Ex and AI-SDLC solutions solves the end-user problems and add values.
- Pilot/test new Dev Ex and AI-enabled feature prior to release to engineering teams.
- Create documentation, demos, notifications to announce new Dev Ex and AI features.
- Thinking out of the box on new ways to communicate the Dev Ex and AI roadmap plans.
- Build and maintain demos to support adoption of new capabilities.
- Quantify the ROI associated with optimizing SDLC workflows.
- Performing surveys to assess software engineer satisfaction.
- Perform other duties as assigned
- Bachelor’s Degree in an engineering field such as Computer Science, Data Science, Operations Research, Physics
- 3+ years of professional experience solving complex, real-world problems in a customer-facing or business-facing environment using technology and data-driven approaches
- Demonstrated ability to lead development of end-to-end software products — from concept through design, deployment, and scaling
- Strong project management skills.
- Proficiency in Python, Java, or Type Script/JavaScript and familiarity with modern frameworks and development tools
- Proven track record of engaging directly with business stakeholders, translating complex requirements into actionable solutions
- Excellent communication skills; able to bridge technical and non-technical discussions effectively
- Comfortable working in ambiguous, fast-paced environments and prioritizing for maximum business impact
- Experience in AI-powered development tooling (e.g., Git Hub Copilot, OpenAI API integrations, AI-assisted testing frameworks).
- Solid understanding of software delivery metrics (DORA, SPACE framework) and how to improve them.
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