Business Analyst
Share
Job Location:
Torrance, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
4 hours ago
Vacancies:
1 Vacancy
Job Summary
- 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
