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Enterprise AI Business Application Manager

Job in Arlington, Arlington County, Virginia, 22201, USA
Listing for: ADP, Inc.
Full Time position
Listed on 2026-08-31
Job specializations:
  • IT/Tech
    IT Project Manager, IT Business Analyst
Salary/Wage Range or Industry Benchmark: 150000 - 210000 USD Yearly USD 150000.00 210000.00 YEAR
Job Description & How to Apply Below

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Enterprise AI Business Application Manager

Arlington, VA, US

2 days ago Requisition

Salary Range: $ To $ Annually

Enterprise AI Business Application Manager

Location: Rosslyn, VA

Reports To: CIO

Type: Full time, onsite

Position Overview

Hanwha Defense USA (HDUSA) develops and supplies advanced ground and sea combat systems to strengthen the capabilities of U.S. and allied forces. HDUSA has built an internal enterprise application ecosystem where AI is not a feature added at the end. Nearly every application we run was either built with AI or has AI integrated into how it works.

We are looking for an Enterprise AI Business Application Manager to own that ecosystem and scale it. This person leads the internal application team, serves as product owner for the applications we build ourselves, owns the SaaS and on-premise applications we buy, and is the go-to when anything in that portfolio breaks.

This is a build role. The person in this seat ships software, reviews what the team ships, and sets the technical standard the rest of the team will work to.

How We Expect This Role to Operate

You are expected to build, and you are expected to build with AI. You must be able to architect a system, judge whether what came out of the model is any good, debug it when it is not, and stand behind it in production. That takes real software fundamentals, which is why we want someone with a genuine engineering and delivery background rather than a prompt operator.

You will also be teaching. The people hired into this team after you will likely be earlier in their careers and faster with AI tooling than they are with software discipline. Setting that standard, and mentoring toward it, is a core part of the job.

We are looking for someone who has stayed with their systems long after launch, through upgrades, breaking dependency changes, data migrations, security findings, and outages. Getting a prototype working is the easy part. We need applications that are still running and still maintainable in three years.

Essential Duties and Responsibilities

  • Own the full portfolio of HDUSA business applications, both internally built and externally sourced, across their lifecycle from selection or design through sustainment and retirement.
  • Serve as the escalation point for any application issue in that portfolio. When something is broken, this role owns getting to resolution regardless of whether we wrote the code or bought it.
  • Evaluate, select, integrate, and manage point solutions, from single purpose SaaS tools to major platforms. Own the vendor relationship, the integration, the license position, and the decision to keep or replace.
  • Maintain a clear view of what the company runs, what it costs, who owns it, what data it holds, and what it connects to.
  • Financial understanding of product ROI and being able to deploy that across the ecosystem to ensure tangible value is being created

Product Ownership

  • Act as product owner for internally built enterprise applications. Set the roadmap, write and prioritize the backlog, define requirements, and make the call on scope while managing scope creep in an aggressive agentic AI development environment
  • Work directly with business stakeholders across Finance, Contracts, Supply Chain, Manufacturing, Engineering, Program Management, Security, IT and HR to understand how work actually happens before designing a system around it.
  • Own adoption, not just delivery. Shipped applications that go unused are non-value add.
  • Define success measures for each application and report on them.

Engineering Practice and Delivery

  • Own the software delivery lifecycle for the internal team, including source control strategy, branching, code review, environment management, testing, release, and rollback.
  • Build and maintain CI and CD pipelines. Automated build, test, and deployment is expected as the baseline, not an aspiration.
  • Establish standards for logging, monitoring, error handling, and observability so that problems surface before users report them.
  • Ship code personally.…
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