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Business Analyst (AI Enablement & Data Platform Services)Cynet Systems • United States
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Business Analyst (AI Enablement & Data Platform Services)

Cynet Systems
  • US
    United States
  • US
    United States
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Über

Business Analyst
Pay Range: $60hr - $65hr The Business Analyst will support AI enablement, data platform services, and enterprise data governance initiatives by gathering requirements, defining AI-ready data standards, and supporting AI strategy execution. The role involves working across data governance, AI readiness frameworks, executive reporting, and cross-functional data initiatives to enable scalable AI and analytics solutions. Requirement/Must Have:
Minimum 5+ years of experience as a Business Analyst in IT, data, or analytics domains. At least 2+ years of experience in AI/ML-related project requirements. Experience working with AWS data platforms including S3, Redshift, Glue, Athena, and SageMaker. Strong experience in Agile or SAFe environments using Jira and Confluence. Strong background in business case development and ROI analysis. Experience in data governance, data quality, and metadata management. Experience:
Experience gathering and documenting AI-ready data requirements and user stories. Experience working with data governance frameworks including classification, privacy, and stewardship. Experience supporting data quality initiatives including profiling, validation, and observability. Experience creating executive-level presentations, dashboards, and strategy reports. Experience supporting AI readiness frameworks and governance models. Experience working with BI tools such as Power BI, Qlik, or Tableau. Experience collaborating with AI/ML, data engineering, and analytics teams. Experience supporting vendor evaluations and AI proof-of-concept initiatives. Responsibilities:
Lead requirements gathering for AI-ready data environments including AWS sandbox, data onboarding, and synthetic data setups. Define and document data governance policies including classification, privacy, and risk frameworks. Support data quality initiatives including profiling, validation, and drift detection. Write user stories, acceptance criteria, and readiness checklists using Agile methodologies. Define PoC exit criteria and AI readiness validation frameworks. Support AI governance including responsible AI, model ownership, bias, and compliance standards. Develop executive presentations, business cases, ROI models, and AI readiness scorecards. Maintain RAID logs and provide weekly status reporting. Act as liaison for AI Hub intake and manage AI use-case pipeline. Support data onboarding for AI including cataloging, metadata, and governance validation. Assist in BI and data platform initiatives including Power BI, Qlik, Informatica, and DataPower. Contribute to global data alignment and policy standardization efforts. Should Have:
Experience with observability tools such as Datadog or IBM watsonx. Experience working in global or multi-region enterprise environments. Understanding of AI/ML lifecycle including feature engineering and synthetic data concepts. Experience in ontology and responsible AI frameworks. Skills:
Strong business analysis and documentation skills. Strong knowledge of data governance, data quality, and metadata management. Strong SQL and data analysis skills. Strong presentation and executive communication skills. Strong understanding of AI/ML concepts and data platforms. Strong proficiency in Microsoft Office tools and visualization tools. Qualification And Education:
Bachelor’s degree in Business, Computer Science, Data Science, or related field preferred. Relevant experience in AI, data, or analytics-focused business analysis roles.
  • United States

Sprachkenntnisse

  • English
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