Director ISC Data and AI

This is a fully remote position, open to applicants in Utah.

📋 Description

• Develop and lead the data foundation for the comprehensive Integrated Supply Chain Digital Transformation agenda.

• Oversee data governance, ownership, and stewardship across the planning, sourcing, manufacturing, delivery, and returns domains of the supply chain.

• Define and implement uniform data standards, taxonomies, master data, and reference data across ISC systems and processes.

• Manage data quality, including monitoring, issue resolution, and continuous improvement initiatives.

• Design and refine enterprise-level conceptual, logical, and physical supply chain data models.

• Direct the creation and management of reusable, business-aligned data products.

• Develop and sustain a contextualized ISC data ontology/semantic layer.

• Enable knowledge graph and semantic capabilities for analytics, natural language queries, and AI/agent use cases.

• Define and oversee standards, lifecycle stages, quality gates, and registration requirements for all ISC AI agents.

• Create and maintain a centralized AI Agent Registry/Catalog.

• Ensure agents utilize governed data products and the ISC ontology/semantic layer.

• Establish standards for agent consistency, risk tiering, access management, observability, documentation, versioning, and interoperability.

• Implement an agent review/certification process prior to production release.

• Monitor agent performance, drift, redundancy, and retirement.

• Publish reusable agent design patterns and reference architectures.

• Guarantee that the data foundation is prepared for AI applications, including GenAI, predictive/prescriptive analytics, agentic AI, and automation.

• Advise ISC leadership on data, AI, agent strategy, roadmap, and investment priorities.

• Track and report on the ROI of data governance, AI enablement, and agent standardization initiatives, including token usage and cost optimization.

• Build, lead, and nurture a team of professionals in data governance, data modeling/architecture, and data product management.

• Act as a liaison among ISC leaders, IT/Data Engineering, Enterprise Architecture, Analytics/AI, and external partners.

• Influence senior stakeholders throughout a matrixed organization.

⛳️ Requirements

• 10+ years of experience in data management, governance, architecture, or analytics.

• A minimum of 5 years in supply chain, manufacturing, or operational environments.

• Demonstrated success in leading enterprise data governance programs and large-scale data modeling initiatives.

• Experience in building or scaling data product organizations is highly regarded.

• Preferred experience with data ontology, knowledge graphs, or semantic layer design.

• Strongly preferred experience in establishing or managing an AI agent inventory/registry or equivalent governance frameworks for bots, RPA, or automation assets.

• Familiarity with various agent/automation platforms and the ability to establish platform-agnostic standards.

• Previous involvement in large-scale digital transformation projects.

• Comprehensive understanding of end-to-end supply chain processes and related data domains.

• In-depth knowledge of data governance frameworks, master data management, and data quality practices.

• Proficient in conceptual, logical, and physical data modeling, data architecture, and contemporary data platforms.

• Awareness of ontology/semantic technologies such as RDF, OWL, and knowledge graphs.

• Understanding of agentic AI architecture concepts, including tool use/function calling, orchestration, memory/context management, human-in-the-loop design, and multi-agent interoperability.

• Familiarity with AI risk classification frameworks and responsible AI/model governance practices.

• Capability to define technology-neutral standards across diverse, multi-platform agent environments.

• Strong skills in stakeholder management, influencing, and executive communication.

• Ability to convey technical data concepts into business value for non-technical stakeholders.

• Bachelor's degree in Supply Chain, Data/Computer Science, Information Systems, Engineering, or a related field is required.

• Relevant certifications in data and AI are a bonus.

🏝️ Benefits

• A culture of face-to-face collaboration.

• Opportunities for learning, growth, and development.

• Commitment to equal opportunity employment.