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

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