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Business Analyst

Job in Torrance, Los Angeles County, California, 90504, USA
Listing for: VDart
Full Time position
Listed on 2026-06-02
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Security, AI Engineer (Applied/Software)
Job Description & How to Apply Below
Position:
Business Analyst (AI Enablement & Data Platform Services)
Location:
Torrance, CA /
HYBRID-4 days a week

Contract

Job Purpose
  • Serve as the lead Business Analyst for the AI Ready Data initiative and AI Enablement projects under the G4-2-4 policy-"Effective Data Provisioning for Expanded AI Application."
  • Responsible for gathering requirements across Proving Ground, Data Governance & Stewardship, and Data Quality & Observability.
  • Translate business needs into AI-ready specifications and deliver executive presentations, business cases, and strategic documentation to accelerate AI transformation.
  • Collaborate with AI Hub, DSG, and stakeholders to ensure data readiness, governance alignment, and scalable AI adoption.
Key Accountabilities

1. AI Ready Data Requirements & Documentation (35%)
  • Lead requirements gathering across:
    • Proving Ground: AWS sandbox, data onboarding, synthetic data, cost models, IAM/S3 integration
    • Data Governance: classification, policies, privacy/risk checklists, stewardship roles
    • Data Quality: profiling, completeness scoring, validation, observability, drift detection
  • Write user stories, acceptance criteria (Jira/Confluence, SAFe®)
  • Define PoC exit criteria, readiness checklists, and value validation frameworks
2. AI Enablement Strategy & Governance (20%)
  • Support 6-step AI readiness framework (objectives → culture)
  • Document AI operations readiness: A-DASH standardization, storage policies, process improvements
  • Define data requirements for AI-friendly formats, workflows, and automation
  • Support Palantir Foundry evaluation: ontology, lineage, integrations
  • Develop governance artifacts: responsible AI, model ownership, bias, explainability, compliance
3. Executive Presentations & Strategy (20%)
  • Create presentations for leadership, QBRs, and evaluations
  • Build business cases and ROI models (including $3M AI budget)
  • Develop AI readiness reports, maturity scorecards, and dashboards
  • Produce operating models, RACI, process flows, and policy updates
  • Maintain RAID logs and weekly status reporting
4. AI Hub Collaboration & Intake (15%)
  • Act as liaison to AI Hub and manage use-case intake
  • Define intake requirements: governance checks, steward validation
  • Document data onboarding for AI (catalog, metadata, marketplace)
  • Support vendor POCs and track AI pipeline (10 → 50 themes growth target)
5. DPS Cross-Project Support (10%)
  • Support BI and data initiatives (Qlik, Power BI, Informatica, Data Power)
  • Assist in observability tool evaluation (Datadog, IBM watsonx)
  • Contribute to global alignment (Japan/NA operations, policy updates)
Minimum Experience
  • 5+ years in Business Analysis (IT/data/analytics)
  • 2+ years in AI/ML project requirements
  • Experience with AWS data platforms (S3, Redshift, Glue, Athena, Sage Maker)
  • Strong background in business cases, ROI, and executive reporting
  • Agile/SAFe® experience with Jira/Confluence
Technical Skills
  • PowerPoint, Excel, Word, Visio
  • SQL, data catalog & metadata tools
  • Data governance, lineage, quality, observability
  • BI tools:
    Power BI, Qlik, Tableau
  • AI/ML concepts: lifecycle, feature engineering, synthetic data, ontology, responsible AI
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