Senior Director, Content Operations Lead (US)

Code and Theory•New York, NY

3d•$160,000 - $220,000•Remote

About The Position

Code and Theory is hiring a Content Operations Lead to join our Enterprise Transformation team. This role is responsible for standing up and running scaled content services for enterprise clients — from initial service model design through go-live, stabilization, and handover to the client organization. Depending on the client engagement, this role may operate in a forward-deployed capacity, embedded inside a client team, working alongside their production leads, creative teams, agencies, and platform owners to redesign and run content operations in real time. That means participating in the intake queue, the production schedule, and the review cycle directly, and rewriting the process while live work moves through it.

Requirements

10-15 years across content operations, creative production, marketing operations, consulting, or transformation delivery with meaningful time spent both advising and operating
Deep fluency in how content actually gets made at enterprise scale
A track record of shipping in enterprise environments
A history of building pipelines, methods, or production capabilities that outlived the engagement that created them
Commercial instinct to shape scopes, build capacity models, defend margin, and grow accounts through proof-driven expansion
A background that bridges creative production or studio operations and consulting or transformation work
Direct experience standing up a service, studio, shared service center, or production pod from design through go-live and stabilization
Working command of the transition lifecycle and the entry and exit criteria at each gate
Hands-on experience with the unglamorous half, including resourcing, knowledge transfer, readiness testing, phased ramp, SLA baselining, and transition close-out
Proven record driving adoption in an organization that did not want the change
A bias toward shipping
Ability to decompose a content workflow into demand, capacity, quality gates, automation, and human-in-the-loop steps that hold up under volume
Accountability to outcomes
Comfort in ambiguity
Bachelor's Degree

Nice To Haves

Willingness to travel within the US (20-30%)

Responsibilities

Map the full content lifecycle end-to-end and the organizational model underneath it
Diagnose where the current model breaks and capacity that cannot absorb peak
Design the target-state service model and the decision rights that govern all of it
Define the governance layer so that compliance can say yes at speed rather than at the end
Establish the measurement framework before go-live, with baselines set for cycle time, first-pass approval rate, reuse rate, cost per asset, and on-time delivery
Build the activation plan with named owners against every dependency
Stand up the service model so the operating infrastructure is working before volume arrives
Resource and onboard the team
Run the cutover
Stabilize the service post-launch through office hours, support, performance monitoring against baselined SLAs and KPIs, model refinement, and a transition close-out that documents what remains open
Redesign the operating model around AI-native capability
Define the new ways of working, reshape workflows, roles, decision rights and handoffs around them
Collaborate with engineers and creative technologists to stand up the content stack, both out of the box and custom built
Codify standards, brand compliance, legal review for machine-consumption
Prototype to accelerate delivery, using prompts, prototypes and lightweight internal tools to prove patterns quickly before scaling them through engineering
Own VP-to-C-suite relationships across CMO, CCO, content operations lead, and platform owner, and the cross-functional teams that intersect to ship the work
Translate between the CMO's brand and growth agenda, production's capacity and craft constraints
Lead the delivery pod, including casting, offshore and partner capacity management
Shape commercial strategy
Run the workshops and steering reviews
Convert proven engagements into reusable accelerators, methods, and offerings
Develop thought leadership and case studies that earn the next engagement
Shape partnerships with platform and ecosystem players (Adobe, Pencil, Typeface) and contribute to joint go-to-market plays
Set the bar for what full-stack, AI-fluent, embedded delivery looks like in the content operations domain