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(520) Business Analyst / Data Scientist
Posted 15 days agoViewed
🏢 Company: Arlo Solutions LLC
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
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