Company description Spark Foundry was built during the most transformative time in the history of advertising and marketing. We deliver everything a traditional media agency has to offer and have grown into one of the world’s most successful agencies by helping brands evolve their marketing by leveraging identity, commerce, artificial intelligence, and more to connect with people. Transformation is part of our DNA. Spark Foundry’s start-up spirit delivers high-touch approaches and a never-ending desire to challenge the status quo. Combined with Publicis Media’s powerhouse soul leveraging connected data assets, advanced AI applications, and investment clout, we “Bring HEAT to Brands.” No other agency possesses the expertise that we do to address today’s most pressing challenges to drive business transformation through media. Overview 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 What “Hands-On” Means in This Role The successful candidate: 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 Success Looks Like Clients trust you because you understand how things actually work Engineering teams trust your designs because they’re practical and buildable Stakeholders rely on you to determine what is possible vs. what is theoretical Solutions move faster because fewer layers are needed between intent and execution Additional information Our Publicis Groupe motto “Viva La Différence” means we’re better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent. Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off. If you require accommodation or assistance with the application or onboarding process specifically, please contact USMTTACompliance@publicis.com. All your information will be kept confidential according to EEO guidelines. Compensation Range: USD $180,215.00 - USD $299,637.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. This role may also be eligible for bonus or incentive compensation. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 1/1/2027.

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 What “Hands-On” Means in This Role The successful candidate: 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

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 Success Looks Like Clients trust you because you understand how things actually work Engineering teams trust your designs because they’re practical and buildable Stakeholders rely on you to determine what is possible vs. what is theoretical Solutions move faster because fewer layers are needed between intent and execution