Solutions Architect III - Supply Chain

Federal Express Corporation • Memphis, TN

2d • $95,844 - $143,760 • Remote

About The Position

FedEx Dataworks is building the Connected Intelligence Core, a platform that combines FedEx’s physical ground-truth commerce data with partner commercial graphs and third-party signals to create actionable commercial intelligence. The Solutions Architect will drive full-cycle data licensing sales of Commercial Data and Strategic Signals to institutional and enterprise data buyers. This hybrid commercial and technical role translates platform architecture into tailored solutions involving predictive signals, macro trade indices, and risk metrics.

The role owns qualified sales opportunities from technical discovery through solution design, data trials, licensing negotiations, and enterprise subscription close. It involves working with technical and executive buyer personas, defining cloud data delivery and integration designs, and explaining Dataworks products and platform capabilities. The architect also supports partner solutioning, collaborates with Product, Commercial, Customer Success, Forward Deployed Engineering, and Implementation teams, and contributes reusable solution documentation and sales assets.

The position is eligible for remote work anywhere in the United States except Alaska, Hawaii, and U.S. territories. Candidates within 50 miles of a FedEx campus may be required to work onsite several times per week. Periodic travel to customer, partner, and conference sites is expected.

Requirements

• Bachelor’s degree or equivalent in business, finance, economics, computer science, engineering, or a related field.
• At least four years of experience in measurement and analysis, quantitative business problem solving, operations analysis, sales or marketing analysis, and/or knowledge management; a related advanced degree may offset related experience requirements.
• Strong analytical skills and demonstrated proficiency with current technology and database/analytical tools.
• Proven interpersonal, written, and oral communication skills.
• Strong understanding of REST, GraphQL, webhooks, event-driven patterns, and data pipeline design.
• Ability to read, evaluate, and explain HTML/CSS/JavaScript-based solutions and data product specifications to technical and business audiences.
• Ability to design and present solution architecture diagrams documenting integration points, data flows, and system dependencies.
• Exceptional client-facing presentation and discovery skills, including executive briefings and technical workshops.
• Ability to translate technical architectures into clear value narratives tied to measurable business outcomes.
• Strong written communication for solution design documents, SOW scoping inputs, and integration specifications.
• Comfort working amid ambiguity in a fast-moving environment with evolving product capabilities.
• Deep familiarity with commercial data licensing terms, enterprise security standards, IP protection, and data governance agreements.
• Demonstrated success closing complex, recurring B2B data licensing, alternative data feed, market intelligence, or analytics subscription deals.

Nice To Haves

• Familiarity with agentic AI, including agent-to-agent communication, orchestration layers, LLM-powered workflows, and MCP/model context protocol.
• Working knowledge of clean-room environments, privacy-preserving analytics, and governed data sharing.
• Experience with enterprise integration platforms and connectors such as ServiceNow, SAP, and ERP/WMS/TMS ecosystems.
• Supply chain, logistics, trade compliance, or financial risk domain experience.
• Familiarity with data monetization, commercial data indices, B2B data products, and signal-to-insight models.
• Experience supporting or designing solutions on data-intensive, AI-native SaaS platforms.
• Experience selling data products in institutional financial services, corporate market intelligence or strategy, management consulting, or insurance/risk analytics.

Responsibilities

• Lead full-cycle sales engagements for qualified leads, licensing commercial data feeds, custom signal cuts, trade flow indices, merchant activity metrics, and supply chain resilience scores.
• Own the technical narrative in sales conversations for generally available Dataworks commercial data products.
• Lead technical and strategic discovery sessions for technical and executive buyer personas.
• Define solution architectures, data flows, integration requirements, and success KPIs for enterprise prospects.
• Develop value-based pricing, navigate procurement and compliance/data-rights reviews, and negotiate multi-year data subscription agreements.
• Explain signal construction, entity mapping hierarchies, panel stability, aggregation standards, and point-in-time accuracy.
• Support early-stage alpha and beta discovery calls for emerging capabilities.
• Scope and manage data trials, evaluation sandboxes, and back-testing exercises.
• Maintain expertise across Dataworks SaaS products, agentic modules, commercial data indices, and the Connected Intelligence Core.
• Explain how embedded AI agents support continuous intelligence and automated orchestration, and communicate product constructs to technical and non-technical audiences.
• Stay current on platform capabilities such as agent-to-agent orchestration, clean-room environments, MCP connector protocols, and privacy-preserving data exchange.
• Guide prospects through API-first integration design, REST/webhook architecture, and data ingestion requirements.
• Evaluate and scope partner connector pre-builds, including ERP, workflow, and marketplace integrations.
• Translate solutioning artifacts to Forward Deployed Engineering and Implementation teams for post-sale handoff.
• Document repeatable solutioning patterns with the Commercial team.
• Design joint technical architectures and IP-safe integration approaches for co-build partnerships.
• Support partner solutioning for bundled offerings and co-selling requirements.
• Review partner technical requirements and provide recommendations to Product Management, Strategy, and Integrations teams.
• Enable the Commercial team on partner-specific technical narratives and platform capabilities.
• Work with Product Management to surface customization and integration requirements identified during sales.
• Partner with Customer Success and Forward Deployed Engineering to ensure designs are feasible and deliverable on schedule.
• Create scalable solution documentation, integration playbooks, and technical sales assets.
• Travel to customer and partner locations for discovery or hands-on technical validation when required.
• Present solutions and recommendations to management and lead technical discovery, workshops, and executive briefings.

Benefits

• Health insurance
• Vision insurance
• Dental insurance
• Retirement benefits
• Tuition reimbursement
• Potential additional pay, premiums, or bonus

What This Job Offers

• Job Type: Full-time
• Career Level: Senior