Product Expert, PLM and ERP

- Own the product vision for how Altana's Product Passports serve as the connective tissue between PLM, ERP, and trade compliance systems - replacing the fragmented, snapshot-in-time data handoffs that define enterprise product data today.

- Define how the as-designed, as-sourced, and as-built views of a bill of materials are reconciled and maintained over time - and what it means for trade compliance when they diverge.

- Design the workflows that allow enterprises to propagate product changes - new suppliers, substitute components, revised country-of-origin determinations - continuously across their commercial documents, classifications, and regulatory filings.

- Own the product vision for how structured product data flows from a SKU definition through a commercial invoice, advance ship notice, and customs entry - automatically, accurately, and with full audit trail.

- Identify where manual, error-prone processes (data re-entry between systems, BOM-to-invoice reconciliation, HTS classification at the line-item level) can be automated, validated, or eliminated entirely through a well-modeled product identity.

- Build the case - with data, customer evidence, and working prototypes - for prioritizing the integrations and automations that unlock the most compliance value.

- Translate your firsthand experience with PLM implementations, ERP configurations, and the broken handoffs between them into concrete product features your engineering partners can build.

- Define how Altana captures the product model - components, materials, suppliers, origin determinations - in a way that is rich enough to support trade compliance, flexible enough to reflect real-world manufacturing variance, and structured enough to be machine-readable.

- Serve as the internal authority on how enterprise product data is created, versioned, and consumed across the supply chain lifecycle, keeping product decisions grounded in operational reality.

- Use AI tools to prototype workflows, generate explanations, and rapidly test ideas with customers and engineers - before a single line of production code is written.

- Think creatively about where AI can eliminate friction at the PLM-ERP-trade interface: extracting structured BOMs from unstructured documents, reconciling as-designed vs. as-built discrepancies, recommending classifications from component-level data, or flagging origin risks before a shipment is tendered.

- Champion a culture of "show, don't tell" - use demos, mockups, and AI-assisted visualizations to align stakeholders and accelerate decision-making.

- Engage directly with enterprise product engineers, trade compliance teams, procurement leaders, and ERP/PLM administrators to deeply understand their workflows, pain points, and workarounds.

- Work with government-facing product teams to ensure the enterprise product data model is designed as the complement to CBP's enforcement and facilitation tools - so that what an importer knows about a product is what regulators need to see.

- Collaborate with engineering on API design and data schemas that connect PLM platforms, ERP systems, logistics networks, and Altana's Product Passport layer in ways that feel seamless - not like another integration project.

You know these systems from the inside. You have spent 5+ years working with PLM and ERP systems in an enterprise manufacturing, sourcing, or trade compliance context - not as a software vendor, but as someone who had to make them work together. You've traced a component through a multi-level BOM, watched the as-sourced reality diverge from the as-designed spec, and dealt with the downstream consequences in procurement, manufacturing, and customs.

You understand the full product-to-shipment data chain. You know the difference between a SKU, a BOM line, a purchase order, a commercial invoice, an advance ship notice, and a customs entry - and you understand precisely how data integrity breaks down at each handoff. You've seen what happens when an ERP item master doesn't match what's actually being shipped, and you know why that matters for trade compliance.

You're a systems thinker. You don't just know the configurations - you understand why the architecture works the way it does, where the seams fail under real-world conditions, and what a genuinely better version would look like. You're frustrated by friction that has been normalized and energized by the opportunity to fix it at scale.

You're tech-enabled and AI-curious. You don't need to write code, but you're comfortable talking to engineers about data structures, API design, and integration architecture. You use AI tools actively in your own work - to draft, prototype, analyze, and explain.

You're excited about what automation and machine learning make possible at the intersection of enterprise product data and global trade compliance.

You communicate with clarity and conviction. You can explain a BOM reconciliation problem to an engineer who has never worked in manufacturing, and explain a data integration architecture to a trade compliance officer who has never opened an API spec. You write clearly, prototype quickly, and bring people along.

You're a builder, not just an advisor. You're ready to move from identifying problems to owning their solution. You want your fingerprints on a product that changes how enterprises connect their internal systems to the demands of global trade - not just a deck that describes it.

- 5+ years of hands-on experience with PLM and/or ERP systems (SAP, Oracle, Teamcenter, Windchill, Arena, or equivalent) in a manufacturing, sourcing, or trade compliance context

- Deep familiarity with bill of materials structures - multi-level, configurable, and as-built variants - and how they are created, maintained, and consumed across the product lifecycle

- Working knowledge of how product data flows into commercial documents : commercial invoices, packing lists, advance ship notices, and customs entries

- Experience with the PLM-ERP integration layer - item master synchronization, BOM transfer, ECO/ECN workflows, and the failure modes that emerge at each handoff

- Familiarity with trade compliance data requirements and how traditional PLM and ERP systems breakdown when interacting with fright and customs.

- Experience with data modeling, integration architecture, or enterprise system implementation is a strong plus

- Prior product management, business analysis, or enterprise technology strategy experience is a strong plus - but domain depth is the priority

This role can be fully remote or based in our Brooklyn, NY or Washington, DC hub locations