Solutions Architect III - Commercial

Federal Express Corporation • Memphis, TN

2d • $7,987 - $11,980 • Hybrid

About The Position

FedEx Dataworks is building the Connected Intelligence Core, a platform combining FedEx’s commerce and package data with partner commercial graphs and third-party signals to enable intelligent supply-chain action. The Solutions Architect serves as a technical bridge between Dataworks platform capabilities and the complex needs of enterprise prospects and partners. The role combines consultative selling and solution architecture across agentic AI, data products, API-driven integrations, and supply-chain intelligence.

Following opportunity qualification, the role owns the commercial and technical sales cycle, from executive discovery and architecture design through demonstrations, proof-of-concept management, proposal development, contract negotiation, and closing. It requires translating evolving platform capabilities into tailored, feasible solutions and communicating technical decisions and business value to both engineering teams and executive stakeholders.

The position is eligible for remote work within the United States, excluding 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 equivalency 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 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 engineering and business audiences.
• Familiarity with agentic AI concepts, including agent-to-agent communication, orchestration layers, LLM-powered workflows, and MCP/tool-use protocols.
• Working knowledge of data exchange methods, including clean-room environments, privacy-preserving analytics, and governed data sharing.
• Experience with enterprise integration platforms and connectors, including ServiceNow, SAP, and ERP/WMS/TMS ecosystems.
• Ability to design and present solution architecture diagrams documenting integration points, data flows, and system dependencies.
• Strong client-facing presentation and discovery skills, including the ability to lead executive briefings and technical workshops.
• Ability to translate complex architectures into clear value narratives tied to measurable business outcomes such as ROI, cost avoidance, and operational efficiency.
• Strong written communication skills for solution design documents, SOW scoping inputs, and integration specifications.
• Comfort navigating ambiguity in a fast-moving environment with evolving platform capabilities.
• Excellent analytical skills and demonstrated proficiency with current technology and database or analytical tools.
• Proven interpersonal, written, and oral communication skills.

Nice To Haves

• 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.

Responsibilities

• Own qualified opportunities from deep-dive discovery through signed contract, managing commercial and technical pipeline stages.
• Lead discovery and technical solutioning sessions to define architecture, data flows, integration needs, and success KPIs.
• Own the technical narrative for generally available Dataworks orchestration and commercial data products.
• Deliver technical demonstrations showing how agentic workflows support end-to-end supply-chain resilience.
• Support Product and Sales with early-stage alpha and beta discovery calls.
• Design and document proposed architectures, including connector configurations, agent orchestration flows, MCP integration points, and data exchange patterns.
• Scope integration requirements across customer technology stacks, including ERP, WMS, TMS, ServiceNow, and SAP.
• Build value-based business cases, author commercial proposals, navigate procurement and security reviews, and negotiate multi-year software agreements.
• Develop and maintain expertise in Dataworks SaaS products, agentic modules, commercial data indices, and the Connected Intelligence Core.
• Explain Dataworks AI agents, data products, signals, insights, risk scores, and index-based commercial offerings to technical and non-technical audiences.
• Stay current on agent-to-agent orchestration, clean-room data environments, MCP connector protocols, and privacy-preserving data exchange.
• Guide prospects through API-first integration design, REST and webhook architecture, and data ingestion requirements.
• Evaluate and scope partner connector pre-builds and marketplace integrations that support go-to-market efforts.
• Translate solutioning artifacts to Forward Deployed Engineering and Implementation teams for post-sale handoff and execution.
• Document repeatable solutioning patterns with the Commercial team to reduce sales-cycle friction.
• Design joint technical architectures and IP-safe integration approaches for Build & Win co-build partnerships.
• Support Sell & Scale partner solutioning, including bundled offerings and co-sell technical 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 Dataworks capabilities.
• Work with Product Management to identify customization and integration requirements surfaced during sales.
• Partner with Customer Success and FDE teams to ensure solution designs are feasible and deliverable on agreed timelines.
• Create scalable solution documentation, integration playbooks, and technical sales assets.
• Travel onsite to customer and partner locations when deep discovery or hands-on technical validation is required.
• Conduct quantitative analysis of complex business situations and develop recommendations for sales and customer opportunities and internal processes.
• Lead peer analysis and brainstorming, manage concurrent complex assignments and cross-departmental projects, and present solutions to management.

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: Mid Level