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Business Analyst- (AI Enablement & Data Platform Services)- Visa Independent

Hybrid in Torrance, CA, US • Posted 4 hours ago • Updated 3 hours ago

Contract Corp To Corp

Contract W2

12 Months

No Travel Required

Hybrid

Depends on Experience

Fitment

Dice Job Match Score™

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Job Details

Skills

Business Analyst
AI
AI Enablement
Data Platform Services
AI/ML
AI Hub
Documentation
Data Quality
Jira
Agile

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91098872
Position Id: 5404-10115-
Posted 4 hours ago

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