Business Transformation Director (US)

Code and Theory is hiring Business Transformation consultants to work across our Enterprise Transformation practice. You will embed with clients to solve problems that span commercial strategy, go-to-market design, process engineering, and operating model transformation — the full range of what it takes to change how a large organization works and competes.

Some deployments are front-of-house: pipeline development, account strategy, solution pricing, competitive positioning, GTM play design. Others are back-of-house: organizational assessments, process reengineering, ways-of-working redesign, technology rollout support, and change management. Most engagements require both.

This role sits inside the Enterprise Transformation practice, but the best people in it grow into something more. We are building a bench of operators who can go forward-deployed — embedded inside a client team, working alongside engineers and product leads and data analysts, shipping real solutions in real time. That is not a requirement on day one. But if that is the direction you want to grow, this role is the on-ramp.

We are hiring multiple people into this role. Deployments vary — long-term embedded partnerships, multiple shorter engagements, or internal strategic challenges. What is consistent: the work is hands-on, the problems are real, and the solutions you develop get implemented.

WHAT YOU'LL DO

• Conduct deep-dive research on target accounts: business challenges, strategic priorities, technology landscape, competitive dynamics, and trigger events
• Identify whitespace — where the strongest opportunities sit across a defined set of accounts and which to pursue first
• Build the account-by-account case for engagement: why this prospect, what to lead with, what proof supports it
• Analyze existing client portfolios to surface patterns, proof points, and cross-sell opportunities
• Map current-state workflows end-to-end: how work gets initiated, reviewed, approved, and delivered, and where the process breaks under load
• Diagnose root causes — not just symptoms — of operational friction: handoff failures, governance gaps, tooling mismatches, and incentive misalignment
• Redesign processes for target-state operations: leaner workflows, clearer decision rights, integrated tooling, and human-agent collaboration patterns where AI accelerates throughput
• Design target-state operating models: org structure, roles and responsibilities, governance, cross-functional interaction models
• Develop ways-of-working frameworks that account for how people actually work, not just how the org chart says they should
• Establish performance baselines before any engagement begins: define the right metrics, capture current-state data, and set the benchmarks against which change will be measured
• Design measurement frameworks that track operational improvement over time — not just activity, but outcome: cost per unit, cycle time, error rate, adoption rate, platform utilization
• Build performance dashboards and reporting cadences that give clients and internal stakeholders a clear line of sight from initiative to impact
• Identify value gaps in stalled implementations — diagnose where technology deployment has outpaced business adoption, re-prioritize use cases, and restore the path to ROI
• Support the rollout of new tools, platforms, and workflows across client organizations — ensuring technology adoption is grounded in process design and change management, not just deployment
• Design training programs, documentation, and enablement materials that make new technology stick
• Work across workstreams to ensure technology implementations connect to the operating model they are designed to support
• Engage meaningfully with AI-powered platforms and tooling — you do not need to be an engineer, but you need to understand what agents and automation can realistically do inside a business process and where human judgment must stay in the loop
• Support complex engagement scoping where the client need is ambiguous, spans multiple services, or involves business transformation
• Lead diagnostic assessments: value capture, market readiness, implementation readiness, adoption strategy, competitive positioning
• Develop reusable frameworks and tools that improve how the practice qualifies, scopes, and wins work
• Manage or contribute to engagements across the full program spectrum — from short-cycle deal acceleration sprints to multi-year managed service relationships
• Feed insights from account research, client engagements, and competitive analysis back into the practice
• Surface patterns that sharpen targeting, inform pricing, improve operating models, and identify repeatable opportunities
• Contribute to practice-level strategy with evidence-based analysis of market trends, client needs, and engagement outcomes

WHAT YOU'LL NEED

• 8-12 years in management consulting or equivalent roles at enterprise technology, SaaS, or professional services companies
• Demonstrated experience in at least two of the following: pipeline development, solution pricing, competitive analysis, organizational design, operating model transformation, change management, technology enablement, process engineering, ways-of-working design
• Track record of building structured, evidence-based arguments and presenting them to senior stakeholders
• Experience leading or contributing to organizational assessments, process redesigns, or large-scale technology rollouts is a strong differentiator
• Hands-on experience establishing performance baselines and tracking measurable improvement over the course of an engagement
• Practical familiarity with how AI tools — agents, automation, LLMs, generative platforms — are being deployed inside marketing, content, creative, and operations functions
• Ability to evaluate where AI changes a process versus where it is a distraction — and to advise clients accordingly without overselling or underselling
• Comfort working alongside engineering and product teams building AI-powered workflows, even if you are not writing the code
• Experience incorporating AI tooling into operating model design, governance frameworks, or ways-of-working redesigns is a differentiator
• Working knowledge of the enterprise marketing technology landscape: how stacks are composed, where integration breaks down, and what platform adoption actually requires organizationally
• Familiarity with the Adobe ecosystem — Experience Cloud, AEM, Workfront, GenStudio, Firefly, Adobe Analytics, Marketo — is a strong differentiator. Direct experience working with or selling alongside these platforms is valued
• Equally comfortable in a boardroom discussing commercial strategy and in a working session redesigning how a team operates day to day
• Commercially oriented when the work calls for it — you understand how revenue is generated, not just how organizations are structured
• Operationally rigorous when the work calls for it — you can design an org model, a governance framework, or a rollout plan with the same precision you would bring to a market sizing exercise
• Comfortable operating in ambiguity — this role requires building the methodology as you go, not executing an existing playbook
• Biased toward action — you would rather produce a strong recommendation with 80% of the data than a perfect one that arrives too late
• Collaborative without being deferential — you will work alongside creative leads, technologists, and solution architects who think differently than you do, and the work is better for it
• Forward-deployed in your instincts: you are most useful when you are close to the work, inside the client team, solving problems in real time — not managing from a distance
• Strong analytical skills: financial modeling, market sizing, account research, competitive benchmarking, organizational analysis
• Ability to document current-state operations, identify failure points, and design measurable improvements
• Clear, concise communication — you can distill a complex landscape into a one-page case for action, or translate an operating model redesign into language a leadership team can rally around
• Comfort with data pulling insights from CRM systems, pipeline reports, organizational surveys, market data, and public sources
• Experience with organizational design frameworks, change management methodologies, and technology adoption planning

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 base compensation for this role is $200,000 - $230,000. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and location.