Business Analyst

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.

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

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