Business Analyst Job at Shrive Technologies LLC, Torrance, CA

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  • Shrive Technologies LLC
  • Torrance, CA

Job Description

  • 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 DataPower)
  • 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 SageMaker)

  • Strong background in business cases ROI and executive reporting

  • Agile/SAFe experience with Jira/Confluence

Job Tags

Full time

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