What are the responsibilities and job description for the Business Analyst (AI Enablement & Data Platform Services) position at Inherent Technologies?
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
Define PoC exit criteria, readiness checklists, and value validation frameworks
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
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
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)
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
Technical Skills
Agile/SAFe experience with Jira/Confluence
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
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
- AI Ready Data Requirements & Documentation (35%)
- 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
Define PoC exit criteria, readiness checklists, and value validation frameworks
- AI Enablement Strategy & Governance (20%)
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
- Executive Presentations & Strategy (20%)
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
- AI Hub Collaboration & Intake (15%)
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)
- DPS Cross-Project Support (10%)
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
Technical Skills
Agile/SAFe experience with Jira/Confluence
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