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# SVP, Technical Solution Architecture

- **Company:** Publicis Groupe
- **Location:** New York, NY, United States
- **Salary:** $180,215.0 - $299,637.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Software Architecture, Systems Integration, Cloud Platform System, Low Latency, Production Code, Data Management, Data Pipelines
- **Published:** June 12, 2026
- **Apply:** https://www.juju.com/job/00000000g7qp4i

## About the Role

+ Can personally wire together systems, logic, or workflows (even if not shipping production code alone)

 + Understands how platforms actually behave in practice - limits, latency, governance, cost

 + Is comfortable building prototypes or reference implementations that others can extend

 + Does **not** operate purely as a liaison or reviewer

Qualifications

 + 12+ years designing and **building** complex data, AI, marketing technology, or platform solutions

 + Demonstrated experience architecting and implementing systems in cloud environments

 + Hands-on experience with components across:

 + Data platforms or pipelines

 + AI / ML or GenAI-enabled workflows

 + Martech or enterprise data ecosystems

 + Ability to switch between technical depth and executive-level communication seamlessly

 + Strong client presence with the credibility to lead technical conversations directly

## Description

Publicis Groupe is seeking an SVP, Technical Solution Architecture to lead the hands-on design, prototyping, and implementation of advanced data, AI, and platform solutions across high-priority clients.

This role sits at the intersection of **architecture, build, and client partnership** . The ideal candidate is equally comfortable whiteboarding with engineers, prototyping workflows themselves, and translating complex systems into clear, compelling value stories for senior client stakeholders.

Responsibilities

Key Responsibilities

 + **Own end-to-end solution architecture** , from concept through working implementation, not just design artifacts

 + Personally **prototype and build core components** of data, AI, or platform solutions (POCs, workflows, integrations, automation layers)

 + Translate client business problems into **concrete system designs** , technical workflows, and architectural decisions

 + Lead hands-on development of AI-enabled workflows, data pipelines, or platform capabilities in partnership with engineering teams

 + Make and stand behind **build decisions** - tools, platforms, tradeoffs, and implementation approach

 + Serve as the technical face of MRCL-enabled solutions in client conversations, including deep, detailed discussions

 + Partner with product, data science, and engineering leaders to ensure solutions are viable, scalable, and deliverable

 + Produce clear technical documentation, diagrams, and build artifacts that teams can execute against

 + Act as escalation point for solution feasibility, complexity, and delivery risk


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