Director ISC Data and AI
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Job Description
Director governing supply-chain data, ontology, products, and AI agents at BD, a global medical technology company. Leading ISC data transformation, governance, interoperability, and executive strategy.
Responsibilities:
- Establish and drive the data foundation for the end-to-end Integrated Supply Chain Digital Transformation agenda
- Own data governance, ownership, and stewardship across plan, source, make, deliver, and return supply chain domains
- Define and enforce common data standards, taxonomies, master data, and reference data across ISC systems and processes
- Lead data quality management, monitoring, issue resolution, and continuous improvement
- Design and evolve enterprise-grade conceptual, logical, and physical supply chain data models
- Lead delivery and management of reusable, business-aligned data products
- Develop and maintain a contextualized ISC data ontology/semantic layer
- Enable knowledge graph and semantic capabilities for analytics, natural-language query, and AI/agentic use cases
- Define and govern standards, lifecycle stages, quality gates, and registration requirements for all ISC AI agents
- Establish and maintain a centralized AI Agent Registry/Catalog
- Ensure agents consume governed data products and the ISC ontology/semantic layer
- Define agent consistency, risk tiering, access management, observability, documentation, versioning, and interoperability standards
- Establish an agent review/certification process before production release
- Monitor agent performance, drift, redundancy, and retirement
- Publish reusable agent design patterns and reference architectures
- Ensure the data foundation is AI-ready for GenAI, predictive/prescriptive analytics, agentic AI, and automation
- Advise ISC leadership on data, AI, agent strategy, roadmap, and investment priorities
- Track and communicate ROI of data governance, AI enablement, and agent standardization initiatives, including token usage and cost optimization
- Build, lead, and develop a team of data governance, data modeling/architecture, and data product professionals
- Serve as liaison among ISC leaders, IT/Data Engineering, Enterprise Architecture, Analytics/AI, and external partners
- Influence senior stakeholders across a matrixed organization
Requirements:
- 10+ years of experience in data management, data governance, data architecture, or analytics
- At least 5 years in supply chain, manufacturing, or operations contexts
- Proven track record leading enterprise data governance programs and data modeling initiatives at scale
- Experience building or scaling data product organizations is highly valued
- Experience with data ontology, knowledge graphs, or semantic layer design preferred
- Experience establishing or governing an AI agent inventory/registry, or equivalent governance mechanism for bots, RPA, or automation assets, strongly preferred
- Exposure to multiple agent/automation platforms with ability to define platform-agnostic standards
- Prior experience in a large-scale digital transformation program
- Deep understanding of end-to-end supply chain processes and associated data domains
- Strong knowledge of data governance frameworks, master data management, and data quality practices
- Working knowledge of conceptual, logical, and physical data modeling, data architecture, and modern data platforms
- Familiarity with 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
- Ability to define technology-neutral standards across heterogeneous, multi-platform agent landscapes
- Strong stakeholder management, influencing, and executive communication skills
- Ability to translate technical data concepts into business value for non-technical audiences
- Bachelor's degree in Supply Chain, Data/Computer Science, Information Systems, Engineering, or related field required
- Relevant certifications in data and AI are a plus
Benefits:
- Face-to-face collaboration culture
- Learning, growth, and development opportunities
- Equal opportunity employment
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