Responsibilities

• Own the end-to-end architecture for a large-scale marketing and growth transformation, spanning data, identity, measurement, activation, and AI-enabled decisioning.
• Define a future-state vision for audience intelligence and measurement that moves organizations from fragmented, channel-level reporting to people-based, outcome-driven decision-making.
• Translate business growth objectives into scalable architectural patterns rather than point solutions, ensuring longevity beyond any single vendor or technology.
• Partner with analytics and data science leaders to establish modern measurement frameworks, including experimentation, incrementality, and advanced modeling to inform investment decisions.
• Guide the design and deployment of AI-powered capabilities (e.g., intelligent insights, content, and decision agents), with clear governance, human oversight, and value realization.
• Serve as the senior technical advisor to executive stakeholders, clearly articulating trade-offs, risks, and opportunities in language grounded in business impact.
• Leverage cross-functional teams across strategy, media, analytics, creative, engineering, legal, and privacy to deliver integrated solutions.
• Evaluate technology and data partners at an ecosystem level; inform build, buy, or partner strategies aligned to long-term business goals.
• Establish operating standards for data quality, security, privacy, and responsible AI usage across client and agency environments.
• Create repeatable frameworks, reference architectures, and best practices that can scale across brands, regions, and lines of business.

Requirements

• 15+ years of experience in solution architecture, management consulting, product strategy, marketing technology, data/analytics, or digital transformation.
• Demonstrated success leading enterprise-scale initiatives that combine technology, data, and organizational change.
• Experience advising senior executives and influencing decisions at the C-suite or board level.
• Proven ability to lead through ambiguity and help organizations navigate emerging technologies that are still evolving.
• Bachelor’s degree required; advanced degree preferred.
• Enterprise Solution Architecture: designing complex, distributed systems that integrate data, analytics, activation, and AI at scale.
• Audience & Identity Strategy: deep understanding of people-based data, identity resolution concepts, and how audiences power personalization and growth.
• Modern Measurement & Experimentation: expertise in advanced measurement philosophies (e.g., incrementality, modeling, experimentation) rather than reliance on last-click or siloed attribution.
• AI & Emerging Technology Leadership: experience guiding organizations through the practical adoption of AI and GenAI—focusing on use cases, governance, and value, not hype.
• Data & Cloud Fluency: strong conceptual understanding of modern data platforms, analytics stacks, and scalable integration patterns.

Preferred

• Executive presence with the ability to simplify complex concepts into compelling, business-first narratives.
• Strategic mindset—comfortable operating at the level of systems, platforms, and long-term capability building.
• Strong influencer who can align diverse stakeholders without direct authority.
• Intellectual curiosity and a continuous-learning orientation toward new data, AI, and technology paradigms.
• Change leadership skills to drive adoption, enablement, and sustained impact beyond initial launches.

Benefits

• Medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.