Arlo Solutions Appoints Venice M. Goodwine as CIO and AI Product Owner
Arlo Solutions has named Venice M. Goodwine its Chief Information Officer and AI Product Owner, effective January 2, 2026. The Washington, DC-based government contractor is reinforcing enterprise technology leadership while expanding data and AI capabilities for mission-focused federal customers.
In this dual role, Goodwine will guide enterprise technology strategy, drive digital transformation priorities, and influence product development across cybersecurity, data modernization, and AI-enabled solutions. She will report to Chief Executive Officer Lonye Ford.
Why this matters for product development
This is a signal: federal buyers want secure, data-driven, AI-ready products that ship on time and pass compliance the first time. Expect tighter integration between product, data engineering, and cybersecurity so features can meet mission outcomes and withstand scrutiny.
- Security-by-design will be a baseline, not a bolt-on.
- Data quality, lineage, and access controls will shape backlog priorities.
- AI features must be auditable, reliable, and backed by clear risk controls.
- Portfolio management will favor outcomes, not feature volume.
What Goodwine brings
Goodwine brings 30+ years across private sector, military service, and federal leadership. As CIO for the Department of the Air Force (Senior Executive Service), she oversaw enterprise IT, cybersecurity, data, and AI operations for the U.S. Air Force and U.S. Space Force, supporting a global workforce of 20,000+ cyber and IT professionals and managing a $17B portfolio. U.S. Air Force
Previously as CISO at the U.S. Department of Agriculture, she strengthened the agency's security posture and consolidated operations into a unified SOC. That work included improving the agency's FITARA cyber score. FITARA overview
Implications for Arlo's roadmap
Expect tighter governance around AI features, clearer model monitoring, and stronger data contracts across systems. Product teams will likely see faster ATO cycles through earlier alignment with compliance, plus closer collaboration with security and data teams.
On delivery, look for emphasis on measurable mission outcomes: faster analyst workflows, fewer manual steps, and documented risk controls. Budgets will reward products that reduce toil and produce verifiable results under real operational constraints.
Company snapshot
Arlo Solutions is an SBA 8(a)-certified, woman-owned small business founded in 2014 and headquartered in Washington, DC. The firm delivers cybersecurity and technology support to streamline government operations with practical, cost-effective solutions.
Key quotes
Lonye Ford, Chief Executive Officer: "Venice is an experienced and trusted federal technology leader. Her steady leadership, deep technical knowledge, and commitment to mission success make her a strong addition to our team and to the clients we serve."
Arlene Wube, President and Chief Operating Officer: "Venice brings a thoughtful, collaborative approach to technology leadership. Her experience will help us continue to grow responsibly, strengthen our capabilities, and support our clients with clarity and confidence."
Venice M. Goodwine: "I'm excited to join the Arlo team and their mission of delivering excellence to their strong government customer base. Arlo's deep history of providing critical intelligence and technology support to the Department of War and the Intelligence Community. I look forward to working with the talented team to drive innovation and technological advancement."
What to watch next
- Hiring moves across data, MLOps, and security engineering to support AI-enabled workflows.
- Product updates focused on compliance, auditability, and measurable impact for federal users.
- Partnerships that tighten data pipelines and reduce integration overhead in secure environments.
Action steps for product teams working with federal clients
- Map features to mission outcomes and define success metrics upfront (time saved, defect rates, decision speed).
- Build security controls into the backlog: identity, access, logging, model governance, and incident response.
- Stand up model risk management with testing protocols, drift monitoring, and human-in-the-loop checkpoints.
- Prioritize data contracts, lineage, and quality gates before scaling AI features.
- Design for ATO from day one: documentation, privacy impact, and dependency transparency.
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