What are the responsibilities and job description for the Business Analyst- (AI Enablement & Data Platform Services)- Visa Independent position at Shrive Technologies LLC?
- 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
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5 years in Business Analysis (IT/data/analytics)
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2 years in AI/ML project requirements
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Experience with AWS data platforms (S3, Redshift, Glue, Athena, SageMaker)
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Strong background in business cases, ROI, and executive reporting
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Agile/SAFe® experience with Jira/Confluence