BizFirst LLC
Systems/Technology Analyst - FM System Consolidation Analysis and Roadmap
Be an Early Applicant
Analyze federal financial management systems, applications, interfaces, APIs, databases, and architectures to identify consolidation and modernization opportunities. Translate business requirements into technical requirements, solution architectures, data models, and integration strategies. Develop future-state technology roadmaps supporting consolidation, cloud adoption, and enterprise architecture initiatives. Prepare implementation guidance, data migration plans, and system decommissioning checklists while accounting for federal accounting, audit, internal controls, and compliance requirements.
Systems and Technology Analyst
FM System Consolidation Analysis and Roadmap
Summary- Job Title: Systems/Technology Analyst
- Work Location Type: Remote; may require travel to DFAS locations in Indianapolis, Columbus, and Cleveland.
- Work Type: Full-time
- Program Name: OARS
- Number of Openings: 2
- Experience: 10 years
- Labor Categories: MC-III / MC-IV
BizFirst is assisting our client with recruiting Systems/Technology Analysts for the OARS Financial Management (FM) System Consolidation Analysis and Roadmap effort. This role combines enterprise systems analysis, modernization planning and federal financial management knowledge.
What will you doAssess the current technology environment and develop practical recommendations for consolidation and modernization. You will connect business requirements to future-state architectures and roadmaps, then translate those roadmaps into implementation guidance.
Responsibilities- Evaluate financial management systems, application portfolios, interfaces, APIs, databases and technical architectures to identify redundancies, integration challenges and modernization opportunities.
- Gather and analyze business requirements and translate them into technical requirements, solution architectures, data models, integration approaches and system recommendations.
- Assess current-state environments and develop future-state technology roadmaps aligned with business objectives, technical capabilities and implementation priorities.
- Support planning for system consolidation, application modernization, cloud adoption and enterprise architecture initiatives.
- Translate roadmap recommendations into implementation guides, including data migration plans and system decommissioning checklists.
- Account for federal financial operations, accounting, audit requirements, internal controls and compliance frameworks in technical analysis and recommendations.
- 10 years of relevant experience.
- Experience analyzing enterprise financial management systems and their applications, interfaces, APIs, databases and architectures.
- Ability to translate business needs into technical requirements, architectures, data models and integration approaches.
- Experience supporting technology modernization and consolidation initiatives, developing roadmaps and preparing implementation guidance.
- Understanding of federal accounting, financial operations, audit requirements, internal controls and compliance frameworks.
- Experience applying federal financial management knowledge within DoD or other federal agencies.
This is a remote position.
Similar Jobs
Artificial Intelligence • Software
Provide technical customer support for the Fieldguide platform through email, phone, and chat. Troubleshoot and reproduce issues, collaborate with Engineering, guide customers through product features, support onboarding and retention, configure customer databases and templates, and maintain help documentation. The role also advocates for customer needs internally and contributes to beta feature feedback. This remote position requires working 9 a.m. to 6 p.m. GMT.
Top Skills:
MS Office
Artificial Intelligence • Software
Provide technical and product support to Fieldguide customers through email, phone, and chat. Troubleshoot platform issues, guide users on features and best practices, collaborate with Engineering, Product, and Design, support database setup and template creation, contribute to onboarding and retention, and maintain help documentation. The role requires a customer-focused, adaptable team player comfortable working remotely from 2pm to 11pm PT in a startup environment.
Top Skills:
MS Office
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software • Defense Technology
Lead operational reliability and platform enablement for Databricks: build monitoring, CI/CD, deployment standards, compute and job policies, observability, runbooks, and governance to support secure, cost-aware, production data workloads across regulated environments. Mentor engineers and align platform with cloud/infrastructure and compliance requirements.
Top Skills:
Ci/CdDatabricksDatabricks Asset BundlesDatabricks WorkflowsDelta LakeInfrastructure-As-CodeService PrincipalsUnity CatalogVersion Control (Git)
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
