Business Analyst (AI Enablement & Data Platform Services)

Position: Business Analyst (AI Enablement & Data Platform Services)

Location: Torrance CA***HYBRID***

Duration: 1 Year

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:

o Proving Ground: AWS sandbox data onboarding synthetic data cost models IAM/S3 integration

o Data Governance: classification policies privacy/risk checklists stewardship roles

o 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

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