Supply Chain Orchestration Knowledge Expert

Position Overview

The Supply Chain Orchestration Knowledge Expert is a domain and subject matter expert responsible for developing, structuring, and maintaining the messaging and positioning and subsequent knowledge artifacts that power TraceLink s Agentic Orchestration Solutions (AOS) go-to-market execution, field team enablement campaigns, and AI-driven experiences for both the customer personas and TraceLink field teams.

Each Supply Chain Orchestration Knowledge Expert serves as the global owner of a supply chain orchestration domain such as Manufacturing, Commerce, Logistics, or Transportation and builds the messaging and positioning frameworks, insights, and artifacts that support executive-level conversations across all relevant customer segments.

This is a unique role combining industry analysis, supply chain orchestration, product expertise with strategic storytelling, knowledge artifact creation, and curation for executive buyer experiences.

Responsibilities

Supply Chain Orchestration Domain Expertise

• Serve as TraceLink s subject-matter expert for a specific supply chain orchestration supporting Product Marketing, Demand Gen, Content, Sales Enablement, and Sales

• Build a deep understanding of end-to-end processes, personas, pain points, business value, and the life sciences and healthcare supply chains ecosystem.

• Participate in select cross-functional teams and executive engagements as required.

Strategic Narratives, Messaging, and Positioning

• Develop strategic narratives, messaging, and positioning of TraceLink products and solutions targeting executive personas - specifically the CIO.

• Create and maintain competitive differentiation and positioning against alternative solutions.

• Continuously monitor the effectiveness of messaging through routine engagement with field teams, customers, and prospects.

AI and LLM Buying Experiences

• Build and maintain an LLM-ready messaging framework with modular, metadata-tagged positioning and value narratives.

• Ensure taxonomy alignment and version control so messaging remains consistent, current, and easily ingested by the LLM.

• Curate and govern the product and industry knowledge corpus to deliver accurate, compliant, and authoritative model outputs.

• Design executive-ready LLM experiences using prompt patterns, scenarios, and value-story templates for internal enablement and external buyer interactions.

Deliverables and Key Knowledge Artifacts

• Create and maintain a standard set of knowledge artifacts that inform and drive the executive interactions, field team enablement, and LLM-driven experiences, including but not limited to:

  • Domain Messaging & Positioning Playbook capturing value pillars, executive narratives, persona messaging, and competitive differentiation.

  • LLM-Ready Messaging Framework & Metadata Schema defining modular message objects, taxonomies, and canonical terminology for model ingestion.

  • Curated Knowledge Corpus Library, including process maps, capability descriptions, deal reviews, win stories, case studies, industry insights, and glossary of terms.

  • Executive Buyer Narrative Decks tailored for CIO, COO, and VP-level personas with business cases, ROI framing, and transformation stories.

  • Competitive Landscape & Differentiation Dossiers analyzing alternative solutions with scenario-based differentiation and objection-handling modules.

  • LLM Prompt Patterns, Conversation Flows, and Experience Blueprints enabling consistent, high-credibility internal and external AI-driven interactions.

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Skills and Qualifications

• 3 - 5 years in a product management, product marketing, solution consulting, or analyst roles with a specific focus on life sciences manufacturing, logistics, and/or adjacent roles.

• Exceptional writing and presentation skills, especially for senior executive audiences.

• Ability to create clear, structured narratives from ambiguous or highly technical information.

• Experience producing content such as briefs, whitepapers, frameworks, or strategic analyses.

• Ability to develop insights, messaging, positioning, and competitive analyses that support commercial teams.

• Familiarity with large language models (LLMs), conversational AI, or retrieval-augmented systems.

• Experience in structuring and tagging content for AI/ML consumption is a plus.

• Ability to work cross-functionally with Product, Marketing, Sales, Solution Consulting, Value Engineering, and Services teams.

Education: Bachelor s degree or equivalent professional experience required.

Travel: Ability to travel up to 25-40% as required by business needs.