Job description

Code and Theory is hiring a Senior Director to own the operating model for how marketing gets planned, executed, measured, and improved inside large enterprise organizations. The stakeholder map runs from CMO to marketing operations lead to MarTech and data lead. The transformation question spans all three: how does this organization need to be structured and tooled to run marketing at modern scale with AI and data in the workflow? Seniority in this role does not mean distance from the work. The proof of a marketing transformation is a working model running inside the client's actual stack and the right person has shipped one before and will ship another here. Depending on the client engagement, this role may operate in a forward-deployed capacity. That is not a separate track or program. It is a mode this work requires, and the expectation is readiness when the account calls for it. WHAT YOU’LL DO Map the full marketing lifecycle end-to-end and diagnose where the current model breaks: fragmented ownership across brand, growth, and lifecycle teams, handoff failures between strategy and execution, tooling gaps between CDP/campaign/analytics platforms, capacity constraints Design the target-state operating model and governance layer so brand, legal, and privacy can say yes at speed Reinvent the campaign and content supply chain end-to-end, not just the org chart, so speed and transparency improve at every handoff rather than just on paper Retro-engineer existing marketing workflows into AI-powered pipelines that are designed, not assembled from defaults Configure and integrate marketing platforms against real brand and channel requirements across major martech ecosystems (Adobe Experience Platform, Salesforce Marketing Cloud, Braze, Segment, Tealium), Wire new pipelines into the existing stack so they run inside the team's day rather than alongside it Design human-in-the-loop patterns that keep marketing judgment, brand compliance, and privacy review in the workflow at the right points Own VP-to-C-suite relationships across the CMO, marketing operations lead, and data/MarTech lead, plus the cross-functional teams that intersect to ship the work Translate between cross-functional agendas, constraints, and platform capabilities without losing fidelity to any of them Run executive workshops that convert strategic ambiguity into a roadmap the organization can act on, and shape commercial strategy: proof-point-driven programs, value-realization metrics that survive a CFO review, and account growth through proof-driven expansion Train the marketing team, build the enablement and capability model that makes new tooling stick, and measure the gains so the new model keeps running after the engagement ends Convert proven engagements into reusable accelerators, methods, and thought leadership that earn the next engagement, and shape partnerships with platform players (Adobe, Google, OpenAI, Anthropic) Set the bar for what full-stack, AI-fluent, embedded delivery looks like in marketing WHAT YOU’LL NEED 12-15 years across marketing operations, martech, consulting, or transformation delivery, with meaningful time spent both advising and building Fluency in modern marketing execution: how strategy becomes campaigns, where handoffs break, what data and privacy require before something activates Track record of shipping in enterprise environments Commercial instinct in shaping scopes, structuring pricing tied to outcomes, defending margin, and growing accounts through proof-driven expansion Hands-on fluency across major martech stacks (Adobe Experience Platform, Salesforce Marketing Cloud, Braze, Segment, Tealium) with genuine depth in at least one Working command of how martech stacks differ in architecture and tradeoffs; Adobe fluency is expected given partnership footprint Working knowledge of the surrounding stack — CRM, CDP, DAM, data warehouse, identity resolution, consent management — plus fluency in LLMs, prompt design, orchestration, and automation tooling applied to marketing and audience workflows Credibility with CMOs on brand strategy and growth, with marketing operations leads on execution and capacity, and with data and MarTech leads on architecture and integration and the ability to hold all three conversations without losing fluency in any of them Bias toward shipping paired with systems thinking that can decompose a workflow into data, models, channels, quality gates, and human-in-the-loop steps that hold up at scale, and accountability to outcomes ABOUT US Born in 2001, Code and Theory is a digital-first creative agency that sits at the center of creativity and technology. We pride ourselves on not only solving consumer and business problems, but also helping to establish new capabilities for our clients. With a global client roster of Fortune 100s and start-ups alike, we crave the hardest problems to solve. We have teams distributed across North America, South America, Europe, and Asia. The Code and Theory global network of agencies is growing and includes Kettle, Instrument, Left Field Labs, Create Group, Current, and TrueLogic. Striving never to be pigeonholed, we work across every major category: from tech to CPG, financial services to travel & hospitality, government and education to media and publishing. We value the collaboration with our client partners, including but not limited to Adidas, Amazon, Con Edison, Diageo, EY, J.P. Morgan Chase, Lenovo, Marriott, Mars, Microsoft, Thomson Reuters, and TikTok. The Code and Theory network is comprised of nearly 2,000 people with 50% engineers and 50% creative talent. We’re always on the lookout for smart, driven, and forward-thinking people to join our team. The target range of compensation for this role is $220,000 - $250,000. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and location.

Requirements

Must-haves

Design the target-state operating model and governance layer so brand, legal, and privacy can say yes at speed
Reinvent the campaign and content supply chain end-to-end, not just the org chart, so speed and transparency improve at every handoff rather than just on paper
Retro-engineer existing marketing workflows into AI-powered pipelines that are designed, not assembled from defaults
Configure and integrate marketing platforms against real brand and channel requirements across major martech ecosystems (Adobe Experience Platform, Salesforce Marketing Cloud, Braze, Segment, Tealium),
Wire new pipelines into the existing stack so they run inside the team's day rather than alongside it
Design human-in-the-loop patterns that keep marketing judgment, brand compliance, and privacy review in the workflow at the right points
Own VP-to-C-suite relationships across the CMO, marketing operations lead, and data/MarTech lead, plus the cross-functional teams that intersect to ship the work
Translate between cross-functional agendas, constraints, and platform capabilities without losing fidelity to any of them
Train the marketing team, build the enablement and capability model that makes new tooling stick, and measure the gains so the new model keeps running after the engagement ends
Convert proven engagements into reusable accelerators, methods, and thought leadership that earn the next engagement, and shape partnerships with platform players (Adobe, Google, OpenAI, Anthropic)
Set the bar for what full-stack, AI-fluent, embedded delivery looks like in marketing
12-15 years across marketing operations, martech, consulting, or transformation delivery, with meaningful time spent both advising and building
Fluency in modern marketing execution: how strategy becomes campaigns, where handoffs break, what data and privacy require before something activates
Track record of shipping in enterprise environments
Commercial instinct in shaping scopes, structuring pricing tied to outcomes, defending margin, and growing accounts through proof-driven expansion
Hands-on fluency across major martech stacks (Adobe Experience Platform, Salesforce Marketing Cloud, Braze, Segment, Tealium) with genuine depth in at least one
Working command of how martech stacks differ in architecture and tradeoffs; Adobe fluency is expected given partnership footprint
Bias toward shipping paired with systems thinking that can decompose a workflow into data, models, channels, quality gates, and human-in-the-loop steps that hold up at scale, and accountability to outcomes

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

Platform: greenhouse
Effort: quick