Senior Solutions Architect, Enterprise Data & AI

FedEx Dataworks; United States; Remote; USD 89,000 - 134,000; Full time

Job summary

FedEx Dataworks is seeking a Solutions Architect/Consultant to bridge platform capabilities with enterprise needs. You will own the opportunity from discovery to contract, architect integration blueprints, and deliver compelling technical demonstrations that drive time-to-value for our connected intelligence platform.

The role blends commercial acumen with deep technical fluency, requiring ability to explain complex architectures to engineers and executives alike, while guiding post-sale

Qualifications

• Bachelor’s degree or equivalent in a related field.
• Minimum four (4) years in measurement/analysis, problem solving, sales/marketing analysis, or knowledge management.

Responsibilities

• Own full-cycle deal execution for enterprise SaaS and workflow orchestration solutions.
• Lead discovery and technical solutioning to define architecture, data flows, and integration requirements.
• Deliver technical demonstrations of Dataworks solutions and ROI-driven value narratives.
• Document solution architectures including connectors, agent orchestration flows, and data exchange patterns.
• Scope integration requirements across customer tech stacks (ERP/WMS/TMS, ServiceNow, SAP).
• Collaborate with Commercial teams to document repeatable, scalable solutioning patterns.

Skills

API architecture

REST

GraphQL

Data integration

Enterprise tech stacks

Solution architecture

Executive-level storytelling

ROI storytelling

Technical demos

Written communications

Ambiguity navigation

AI concepts

Data monetization

SaaS platforms

Education

Bachelor’s Degree/equivalency

Tools

ServiceNow

SAP

ERP/WMS/TMS ecosystems

Job description

FedEx Dataworks is seeking a Solutions Architect/Consultant to bridge platform capabilities with enterprise needs. You will own the opportunity from discovery to contract, architect integration blueprints, and deliver compelling technical demonstrations that drive time-to-value for our connected intelligence platform.

The role blends commercial acumen with deep technical fluency, requiring ability to explain complex architectures to engineers and executives alike, while guiding post-sale