Business Analyst (AI Enablement & Data Platform Services)

• 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., 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

1. 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

2. 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

3. 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)

4. 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)

• 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