successfactors
Principal Industrial AI Data Architect - US Remote
Hexion
Columbus, USA
Senior · 10+ years experience
Onsite
Discovered 2 days ago
aws
Key Skills for This Role
aws
Full Job Posting
Job Responsibilities
- Define Industrial Data Architecture for AI Design end-to-end data flows from: Edge systems → cloud → AI pipelines → edge inference Define: Data storage patterns (time-series, relational, event-based) Data movement and transformation strategies Ensure architecture supports: Real-time processing Batch analytics Model lifecycle integration 2. Design Feature Pipelines and Delivery for AI Models Design and govern the pipelines, storage, and lifecycle that build and deliver features to AI models, based on canonical definitions established by the Principal Manufacturing & Semantic Architect. Define feature engineering pipelines for both training (cloud) and inference (edge) environments Ensure consistency between training datasets and runtime inference data Prevent feature drift and data mismatch through automated validation 3. Integrate Semantic Model with Data Pipelines Translate canonical semantic definitions into: Physical data models Schemas Pipelines Ensure all data structures conform to: Enterprise standards Platform contracts Additional Job Responsibilities 4. Enable Scalable AI Model Integration Define data interfaces required by: Internal AI teams External model providers Support: Model versioning Feature compatibility Performance validation 5. Design for Multi-Tenant and Product Use Cases Ensure data pipelines and access patterns support multi-tenant environments, including: Customer data isolation and secure access controls Scalable onboarding of new tenants and use cases Reuse of data pipelines across customers and deployments Note: The underlying data model for multi-tenancy is governed by the Principal Manufacturing & Semantic Architect. 6. Collaborate Across Teams Partner with: Principal Manufacturing & Semantic Architect (canonical model definition and feature semantics) Principal Edge & OT Architect (edge data ingestion and inference data requirements) Platform Engineering (implementation and infrastructure) AI/Data Science teams (model requirements and validation) Ensure consistent execution across domains. Competencies Strong system design and data modeling skills Ability to connect business, operational, and AI requirements High attention to data consistency and integrity Cross-functional collaboration Minimum Qualifications Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred) 10+ years of experience in data architecture, industrial data systems, or IoT platforms Strong experience with time-series data (e.g., historian systems), data pipelines, and ETL/ELT Strong experience with distributed data systems Understanding of AI/ML data requirements and feature engineering concepts Leadership Expectations Operate as a thought leader in industrial data architecture and AI data strategy Influence without direct authority across multiple teams and partners Drive standards adoption for data pipelines and AI data practices across internal and external stakeholders Balance long-term architectural vision with near-term delivery needs Work Environment & Travel Travel to manufacturing sites and partner locations as needed (~10–25%). One-Line Summary Design the data architecture that ensures AI models operate correctly, consistently, and at scale across industrial environments.
Preferred Qualifications
- Experience with: Industrial IoT or edge-to-cloud platforms Manufacturing systems (OT + IT integration) Cloud data platforms (AWS preferred) Familiarity with: Streaming architectures Event-driven systems Data governance frameworks Other We are an Equal Opportunity, Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to gender, pregnancy, race, national origin, religion, age, sexual orientation, gender identity, veteran or military status, status as a qualified individual with a disability or any other characteristic protected by law. To be considered for this position candidates are required to submit an application for employment through our career site and, be at least 18 years of age. Any offer of employment will be conditioned upon successful completion of a drug test and background investigation, as well as authorization for the Company to conduct additional periodic background checks as required by the Chemical Facility Anti-Terrorism Standards (CFATS) or regulations adopted by the department of Homeland Security or other regulatory agencies. A prior criminal record is not an automatic bar to employment, and the Company will conduct an individualized assessment and reassessment, consistent with applicable law, prior to making any final employment decision.
- Experience with: Industrial IoT or edge-to-cloud platforms Manufacturing systems (OT + IT integration) Cloud data platforms (AWS preferred) Familiarity with: Streaming architectures Event-driven systems Data governance frameworks Other We are an Equal Opportunity, Affirmative Action employer.
- All qualified applicants will receive consideration for employment without regard to gender, pregnancy, race, national origin, religion, age, sexual orientation, gender identity, veteran or military status, status as a qualified individual with a disability or any other characteristic protected by law.
- To be considered for this position candidates are required to submit an application for employment through our career site and, be at least 18 years of age.
- Any offer of employment will be conditioned upon successful completion of a drug test and background investigation, as well as authorization for the Company to conduct additional periodic background checks as required by the Chemical Facility Anti-Terrorism Standards (CFATS) or regulations adopted by the department of Homeland Security or other regulatory agencies.
- A prior criminal record is not an automatic bar to employment, and the Company will conduct an individualized assessment and reassessment, consistent with applicable law, prior to making any final employment decision.
About Hexion
Chemicals Manufacturing4300 employeesFounded 1899
Private global producer of adhesives and performance materials for engineered wood, construction, coatings, agriculture, energy, and automotive customers.
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