BizFirst LLC

Consultant

• Own the customer relationship.
• Run multi-stream programs with direct access to client executives and data leadership, and make the calls that move the work forward
• Partner with business development, sales engineering, and Snowflake, Databricks, and Google Cloud alliance teams to scope new work, shape proposals, and expand existing engagements
• Ship production-grade data platforms, pipelines, and AI workflows alongside consultants and senior consultants.
• Set technical direction for delivery teams of three to six consultants.
• Contribute to playbooks, reference architectures, and delivery patterns; mentor Senior Consultants moving toward Principal; and author the learning academy modules

Principal Consultant, Data

Backend Engineer

• Support the analysis, conversion, and modernization of complex legacy mainframe systems into a modern Java environment
• Work closely with technical and functional stakeholders to translate business logic from COBOL into Java/Spring Batch
• Ensure functional equivalence, improved performance, and alignment with modern development standards
• Contribute to a multi-phase effort to modernize critical financial systems and reduce technical debt

Senior COBOL, Java, Spring Batch Developer

Data Engineer

• Design and build pipelines to ingest, transform, and load data
• Set up data lakes and warehouses for scalable access
• Ensure systems are secure, reliable, and cost-effective
• Collaborate with analysts, ML engineers, and platform teams

People Operations

• You're the 'Vibe Keeper.' You'll define and protect the values
• From curated team offsites and mixers to meaningful employee engagement initiatives
• You'll represent the company at industry events
• Move beyond the LinkedIn cold spray
• Design a high-touch, frictionless interview process
• Partner with leadership to forecast hiring needs and build a sustainable pipeline

People & Talent Specialist

• Support remediation of SBR-related audit findings, including unsupported balances, incomplete populations, abnormal variances, and reporting inconsistencies
• Perform budget execution and SBR reporting analysis, including Funding Authorization Document reconciliations, SF-132/SF-133 tie-outs, and variance analysis
• Reconcile key SBR line items to source systems and feeder data to ensure accuracy and completeness
• Develop and document remediation plans, including milestones and deliverables to support audit requests (PBC support)
• Assess and enhance internal controls over budgetary reporting and supporting business processes
• Draft and update process narratives and audit documentation to support audit readiness
• Partner with functional teams to remediate data quality issues and improve transaction traceability
• Translate analytical findings into actionable corrective recommendations
• Support ongoing audit activities and stakeholder coordination efforts

Audit Remediation Consultant

Product Manager

• Own the product roadmap for the organization’s AI initiatives, working with business stakeholders and technical teams to define priorities, scope, and success metrics.
• Translate operational pain points and business requirements into clear, actionable product specifications for ML engineers, data scientists, and designers.
• Lead discovery and requirements gathering for AI use cases, including user research, workflow analysis, and feasibility assessment with the technical team.
• Drive delivery across cross-functional AI product squads, keeping projects on track, surfacing blockers, and managing stakeholder expectations.
• Define and track KPIs for deployed AI capabilities, using outcome data to guide iteration and prioritization decisions.
• Build and maintain a structured feedback loop between end users and the AI development team to ensure products solve real problems effectively.
• Develop business cases for new AI investments, including cost-benefit analysis, adoption forecasts, and risk assessments.
• Serve as an internal advocate for responsible AI practices, ensuring products are designed with appropriate oversight and auditability.

AI Product Manager

• Design, develop, and optimize data pipelines
• Ensure seamless data ingestion, transformation, and processing in Snowflake
• Collaborate with teams to integrate data from various sources
• Maintain data integrity and support DoD's mission-critical analytics
• Build and manage efficient data pipelines for ingesting, transforming, and loading data into Snowflake
• Develop and automate ETL/ELT processes using Snowflake, Snowpipe, and Streams & Tasks
• Design Snowflake database structures and optimize queries
• Implement data encryption, role-based access controls (RBAC), and compliance with DoD IL5/IL6 standards
• Monitor and tune performance, proactively identifying bottlenecks and optimization opportunities

Snowflake Data Engineer, Developer

DevOps Engineer

• Design, implement, and manage Azure-based multi-tenant environments for Department of Defense programs.
• Create scalable, reliable, and secure infrastructure, automating deployment pipelines, and ensuring seamless integration with other cloud environments.
• Develop and manage multi-tenant environments in Azure, ensuring high availability, scalability, and security.
• Design and implement Azure-based CI/CD pipelines to automate build, test, and deployment processes.
• Utilize Azure DevOps services, Azure Kubernetes Service (AKS), and other Azure tools to optimize deployment strategies.
• Collaborate with cross-functional teams to support application deployment and maintenance, including data engineers, software developers, and security experts.
• Implement Infrastructure as Code (IaC) using tools such as Terraform and Azure Resource Manager (ARM) templates.
• Monitor, log, and troubleshoot Azure-based applications and infrastructure using Azure Monitor, Log Analytics, and related tools.
• Ensure compliance with security policies and best practices, including role-based access control (RBAC) and network security groups (NSGs).
• Create and maintain comprehensive documentation for Azure infrastructure and DevOps processes.

Azure DevOps Engineer

Security Engineer

• Design, implement, and manage security measures for the protection of computer systems, networks, and data.
• Utilize eMASS and ACAS scanning for vulnerability assessments and Risk Management Framework (RMF) decisions.
• Identify, assess, and mitigate vulnerabilities in systems and applications.
• Develop and implement incident response plans and procedures. Respond to and manage security incidents and breaches.
• Monitor security systems and analyze potential threats. Utilize tools and technologies to detect and respond to security events.
• Ensure compliance with government and industry standards, such as NIST, FISMA, and DoD requirements.
• Conduct regular risk assessments and audits to identify security gaps and recommend improvements.
• Provide security awareness training to employees and stakeholders.
• Maintain comprehensive documentation of security policies, procedures, and incident reports.
• Work closely with IT, engineering, and other teams to ensure security is integrated into all aspects of the organization.
• Stay updated with the latest security trends, threats, and technologies to continuously improve the organization's security posture.

Cyber Security Engineer

Full-stack Engineer

• Develop and maintain software applications that handle data access, processing, and analytics.
• Utilize strong Python coding abilities to build efficient and scalable solutions.
• Implement and integrate data access layer technologies such as Databricks, iQuery, Global Search, API, and File Browser.
• Apply knowledge of automation tools to streamline data-related processes.
• Utilize Scala, Databricks, Python, Trifacta, DataRobot, and R to implement data processing and analysis tasks.
• Leverage proficiency with AWS services, including Amazon S3, Amazon RDS, Amazon RedShift, Amazon ElasticSearch Service, Delta Lake, Neo4j, and Parquet for data storage, processing, and retrieval.
• Collaborate with Data Scientists and Data Analysts to understand data requirements and design efficient data workflows.
• Develop user-friendly, visually appealing tools and interfaces that enable both technical and non-technical users to interact with data effectively.
• Ensure the security and integrity of data through the implementation of appropriate access controls and encryption mechanisms.
• Work closely with stakeholders to gather requirements, provide technical guidance, and deliver high-quality solutions.
• Maintain documentation for software applications, workflows, and processes.

Full Stack Developer

Financial Planning and Analysis

• Serve as the lead for managing OUSW financial policy FMR initiatives, providing technical and management leadership on major tasks and work assignments
• Establish goals and plans that align with project objectives and financial policy requirements
• Provide expert domain knowledge in the development of solutions, recommendations, and implementation outcomes
• Apply advanced data analytics to assess financial reporting accuracy and identify systemic issues
• Support and advise on FBwT-related policy interpretation and reconciliation implications
• Evaluate financial reporting risks and recommend corrective actions aligned with FMR guidance
• Direct activities of junior personnel and support staff as required
• Ensure policy decisions and analytical outcomes support overall project implementation success
• Provide leadership briefings and documentation supporting financial policy compliance efforts