Business Analyst, Data Scientist

Summary

Join Arlo Solutions as a Business Analyst / Data Scientist to support NOAA's National Marine Fisheries Service Cloud Program Office Initiative. You will conduct assessments, analyze data, and develop recommendations to establish a CPO framework, implement cloud/AI/ML capabilities, and ensure platform security and efficiency. This role involves close collaboration with NOAA stakeholders to prioritize efforts and deliver high-value cloud services. You will be responsible for developing service delivery models, implementation plans, and a governance framework. The position requires strong analytical, problem-solving, and communication skills, along with experience in business analysis, data science, and cloud technologies.

Requirements

• Bachelor's degree in Business Analysis, Data Science, Computer Science, Information Technology, or a related field
• Proven experience in business analysis and data science, preferably in cloud engineering, AI/ML development, and cloud operations
• Strong knowledge of cloud platforms such as Google Cloud
• Experience with data analysis tools and techniques, including statistical analysis, data visualization, and machine learning
• Familiarity with AI/ML frameworks and tools such as TensorFlow, PyTorch, or similar
• Strong understanding of security controls and compliance requirements
• Excellent analytical, problem-solving, and communication skills
• Ability to document technical processes clearly and concisely
• Experience working with government agencies or in a regulated environment
• Experience with data governance frameworks and best practices

Responsibilities

• Conduct an accelerated assessment of the existing cloud landscape using Starlo’s proven templates and pre-built artifacts
• Research and analyze the existing CPO service catalog to understand current services offered, utilization, and alignment with organizational needs
• Capture cloud and data-specific needs and challenges by engaging with key stakeholders to understand their requirements and pain points
• Evaluate direct support capabilities and high-impact cloud services that can drive significant value for the organization
• Develop recommendations to address identified gaps and enhance the CPO's capabilities, tailored to align with the organization's strategic objectives
• Develop robust service delivery models for efficient and effective delivery of cloud services and AI/ML capabilities
• Create a multi-year cloud implementation plan outlining the strategic roadmap for cloud adoption, migration, and optimization
• Collaborate with Fisheries OCIO to share the implementation plan with relevant stakeholders through a maximum of 10 meetings
• Assist in developing the CPO, including defining its structure, roles, and responsibilities
• Refine decision-making processes to drive clear and efficient decision-making within the CPO
• Formulate a governance framework that addresses the current decentralized structure, enhances collaboration, and promotes strategic alignment across the organization
• Support the transition of knowledge and operations to the newly established CPO, including training and support for CPO staff and stakeholders
• Ensure Fisheries assumes all inherent governmental responsibilities, including developing requirements for future procurements and approving technologies for its service catalog
• Assist in the implementation and management of a centralized management platform to provide visibility and control over the cloud environment
• Ensure the use of Infrastructure as Code (IaC) to automate resource deployment and employ workload orchestration tools
• Support the migration, configuration, and deployment of virtual networks according to design specifications
• Ensure proper integration of network connections, firewalls, and load balancers provided by the government
• Assist in the development of cloud-based AI capabilities and Machine Learning models
• Ensure the integration of diverse data types (images, documents, video, audio) to support AI development
• Ensure continuous compliance with security controls and organizational policies
• Oversee the transition to higher-value cloud services to optimize cost and performance
• Assist with the configuration and maintenance of automated monitoring and alert tools
• Ensure effective monitoring of data ingestion pipelines, staging, and production environments
• Define and conduct evaluations against established KPIs
• Implement agile best practices to support design, development, testing, and deployment
• Establish and support documentation standards and version control
• Maintain a knowledge repository inclusive of SOPs, reporting, architecture diagrams, configuration guidelines, and network settings
• Assist in the development and transition of AI Proof-of-Concepts to production environments
• Develop comprehensive documentation, knowledge transfers, and training
• Support vulnerability management, protective monitoring, incident management, and configuration and change management
• Implement continuous monitoring to detect and track vulnerabilities
• Develop and implement robust data governance frameworks
• Establish data governance processes and policies for data lifecycle management
• Establish standards and best practices for data integration and interoperability
• Utilize generative AI technologies to facilitate data integration across schemas and taxonomies
• Assist in the development of a cloud rationalization framework to guide the evaluation and prioritization of cloud