Negotiable
Undetermined
Undetermined
London Area, United Kingdom
Summary: The Enterprise Architect (EA) is responsible for driving technical sales and supporting customer success in marketing technology programs. This role involves engaging with various customer teams to evaluate current technology and business objectives, delivering future-state architectures, and managing digital engagement roadmaps. The EA must possess a strong understanding of digital marketing ecosystems and be able to communicate complex ideas effectively to diverse audiences.
Key Responsibilities:
- Serve as the primary technical driver for closing sales opportunities.
- Support existing customer success with marketing technology programs.
- Engage with customer Technical, Marketing, and C-Suite teams to evaluate current-state technology.
- Deliver future-state marketing technical architectures and manage digital engagement roadmaps.
- Communicate complex ideas to support Adobe’s POV and recommendations.
- Diagnose challenges and opportunities to produce future state architecture.
Key Skills:
- Experience in a consultative role supporting large-scale enterprise digital marketing ecosystems.
- Knowledge of end-to-end digital marketing journey including Adtech, Marketing Automation, and CRM.
- Hands-on experience with enterprise platforms like Adobe, Salesforce, and Oracle.
- Strong written and verbal communication skills, particularly in PowerPoint and Lucid Chart/Visio.
- Bachelor's degree in Computer Science, Digital Marketing, or MBA.
- Adobe Certified Expert certifications in relevant Adobe products.
- Experience building enterprise-level ROI-focused Business Cases.
- Hands-on experience with mobile application architecture and delivery.
- Familiarity with generative AI solutions.
Salary (Rate): undetermined
City: London Area
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Role Description The Enterprise Architect (EA) serves as the primary technical driver for closing sales opportunities and supporting existing customer success with their marketing technology programs through value realization. The EA engages with customer Technical, Marketing and C-Suite teams in evaluation of current-state technology and business objectives to deliver future-state marketing technical architectures, digital engagement roadmap management and “Art of the Possible” digital experiences.
Minimum Qualification sPast experience in a consultative role supporting large-scale enterprise digital marketing ecosystems in the role of Architect/Principal Consultant or employee Marketing/Technical leader .Working knowledge of end-to-end digital marketing journey including Adtech (CDP/DMPs, DSPs, etc.), Marketing Automation, omni-channel personalization, Content Management/Generation, CRM, Media Execution and Reporting/Insights .Significant hands-on experience using enterprise platforms (Adobe, Salesforce, Oracle, Microsoft, etc.) with an emphasis on REST APIs, Cloud Storage, Structured/Unstructured Data, Security and Data Ingress/Egress .Ability to communicate complex ideas which “tells a story” to support Adobe’s POV and/or recommendation to technical, marketing and C-Suite audience sAbility to quickly diagnose challenges and opportunities and produce a future state architecture .Strong written and verbal communications skills with particular expertise in PowerPoint and Lucid Chart/Visi oBachelor's degree in Computer Science (CS), Digital Marketing or MBA or equivalent experienc e
Skills that Set You Apa rtOne or more current Adobe Certified Expert certifications in Adobe (AEP, AJO, Analytics/CJA, RTCDP, Target or Workfron t)Recent experience building enterprise level return on investment focused Business Cases for technology transformatio nsHands-on experience architecting and/or delivering native, Flutter or React-Native mobile applicatio nsExperience leading a revenue focused Book of Business including sales pipeline via Salesforce/Microsoft Dynamics, scope/contract review and Value Realization measuremen t.Familiarity and usage of generative AI solutio ns