Vice President Group Director, Solutions Architect - Systems and Experience Engineering

Key Responsibilities: 

• Partner with Digital Product Managers to translate business problems into feasible delivery approaches; co-lead solution concepting and define the path from concept to production. 

• Design end-to-end architectures combining AI agents, integrations, APIs, data, automation, and custom application components aligned to approved platform patterns. 

• Guide architecture of agentic workflows that use structured data and unstructured content. 

• Identify reusable patterns and convert them into platform features, enablement materials, and reference architectures. 

• Define non-functional requirements including scalability, performance, reliability, security, auditability, and maintainability. 

• Contribute to assessing marketing and advertising workflows to identify high-impact opportunities across content operations, campaign execution, analytics, personalization, and measurement. 

• Lead client sessions to understand business objectives and existing systems to define an appropriate solution approach. 

• Document client technology stacks, dependencies, data flows, and constraints; translate findings into architecture options and integration strategies. 

• Collaborate with architects and engineers to integrate with MarTech ecosystems such as CDP/CRM, CMS, tag management, ad platforms, and analytics stacks. 

• Conduct technology audits and vendor analyses; recommend build-vs-buy paths based on fit, cost, risk, APIs, service constraints, and delivery impact. 

• Ensure discovery outputs translate into clear technical options, constraints, and architecture decisions. 

• Provide architecture governance across the SDLC, including reviews and risk management, ensuring implementation aligns to approved solutions and platform patterns. 

• Provide scoping inputs: assumptions, dependencies, risks, sequencing, staffing, and level-of-effort. 

• Serve as a senior client-facing technical lead: co-facilitate discovery with Digital Product Managers, lead technical working sessions, deliver architecture playbacks and demos, and communicate tradeoffs clearly. 

• Explain complex architecture, risks, and tradeoffs for executives, marketers, and engineers. 

• Build trusted relationships with senior client technology stakeholders and facilitate decisions when business, product, and engineering priorities conflict. 

• Maintain a clear through-line from proposal to design to delivery. 

• Stay current on generative AI, agentic patterns, evaluation approaches, and emerging standards; identify opportunities to improve platform capabilities and delivery methods. 

• Apply responsible AI principles, including privacy, data handling, consent, access controls, governance, auditability, and model limitation awareness. 

• Define practical AI evaluation approaches for quality, bias, reliability, monitoring, and drift. 

• Maintain strong organization, time management, and risk mitigation across distributed teams.