Job description
About AllShore Talent
AllShore Talent partners with growing organizations to build high-performing technology and consulting teams. We connect skilled professionals with meaningful, long-term engagements across web technologies, digital experience platforms, and enterprise software delivery — offering competitive compensation, flexible engagement models, and a collaborative, remote-friendly culture.
Role Overview
The Data & Insights Technical Consultant partners with leading brands to build and optimize solutions using Adobe's data and analytics applications. You'll translate complex business requirements into technical solutions, bridging technical teams and business partners across the Adobe Experience Platform (AEP) environment.
Key Responsibilities
Lead implementation and optimization of AEP applications (Customer Journey Analytics, Real-Time CDP, Edge Data Collection, Analytics) for enterprise clients
Collaborate with business consultants, data architects, and enterprise architects to deliver integrated solutions
Guide technical discussions and translate business needs into technical requirements and specifications
Develop data integrations, tag management strategies, and API connections for robust, scalable solutions
Contribute to solution architecture for custom requirements
Deliver customer-facing presentations, documentation, and enablement materials (data dictionaries, technical specifications)
Mentor and train internal and client teams; contribute to thought leadership content
Maintain accurate records of project activities and client interactions
Requirements
Required Skills & Experience
8+ years in technical, customer-facing roles with hands-on enterprise software implementation
2+ years direct experience with one or more of: Customer Journey Analytics, Real-Time CDP, Analytics
Core understanding of Adobe Edge Data Collection for web and mobile
Proficiency in API integration, tag management, data modeling, and architecture
Experience with Adobe Experience Platform Tags, single-page applications, and web development
Comfort with JavaScript; familiarity with Python and SQL preferred
Experience with mobile SDKs, architecture, marketing technology, and analytics; understanding of event-data pipelines
Preferred / Nice-to-Have Skills
Experience leveraging AI/ML models for customer segmentation, predictive analytics, or automation
Experience designing or managing databases/data models
Experience in vertical industries (retail, finance, healthcare, etc.)
Experience with automation/scripting (Python, Scala, R) for large-scale data analysis
Familiarity with multi-platform media delivery (web, mobile, OTT) and privacy/consent considerations
Work Arrangement
Remote, supporting clients across the United States and Canada. Core collaboration hours are aligned to Central Time (CST).
Originally posted on Himalayas
Who can apply
The source lists worldwide eligibility. Accepted UTC offsets: UTC-11, UTC-10, UTC-9.5, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC-4, UTC-3.5, UTC-3, UTC-2, UTC-1, UTC+0, UTC+1, UTC+2, UTC+3, UTC+3.5, UTC+4, UTC+4.5, UTC+5, UTC+5.5, UTC+5.75, UTC+6, UTC+6.5, UTC+7, UTC+8, UTC+8.75, UTC+9, UTC+9.5, UTC+10, UTC+10.5, UTC+11, UTC+12, UTC+12.75, UTC+13, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.