Associate Director, Operations Strategy & Business Intelligence

Role Description

This role sits inside the Operations Strategy & Business Intelligence function at Code and Theory, a Stagwell company. The team owns the systems, data, and workflows that run the agency — project management, financials, CRM, HR infrastructure — and the BI layer that connects all of it into something leadership can use to make forward-looking decisions. Beyond systems, the team is operationalizing Progressive Delivery across the agency, embedding a suite of internal AI accelerators into how projects are scoped and delivered, and building the automation layer that eliminates manual handoffs across finance, resourcing, and contracts.

We are hiring someone who can do two things well: understand a messy operational problem deeply enough to design a solution, and then build it. That means gathering requirements from stakeholders across Finance, Delivery, Resourcing, HR, and Technology; synthesizing what you hear into a clear plan; and executing against it using automation, agentic tooling, and structured process design. This is a 60% execution role. You will ship things.

The Ops Strategy & BI function at Code and Theory is a small team with a wide mandate. We sit at the intersection of people, process and technology, and our work directly shapes how the agency runs and how leadership makes decisions. The team is early in its maturity, which means you will have real influence over how systems get built and how the function evolves. You will work directly with the Head of Ops Strategy & BI and have regular exposure to Finance, Delivery, Resourcing and executive leadership.

Qualifications

• 5 to 8 years of experience spanning operations, product, or systems work in a professional services, agency, or technology environment
• Strong operational problem-solving instinct
• Demonstrated ability to gather requirements from stakeholders across different functions
• Hands-on experience building agentic workflows or automations
• Fluency with operational systems
• Comfort working across a wide surface area without losing track of priority
• Strong business case instinct
• Clear, concise communicator in writing
• Experience working with global teams across multiple time zones
• Experience with commonly used project management platforms
• Experience with Agile principles and values
• Practical experience designing and deploying agentic pipelines or AI-assisted workflows
• Familiarity with prompt engineering and model behavior
• Understanding of the difference between automation that runs reliably at scale and a proof-of-concept
• Awareness of data governance and privacy considerations

Requirements

• Own requirements gathering and workflow design across the agency's operational stack, including project management, financial, CRM, HR, and data infrastructure systems
• Map where manual steps, data handoffs, and system gaps create risk or overhead, and design solutions that address the root cause rather than the symptoms
• Partner with Finance, Resourcing, Delivery, HR, and Technology leads to translate operational pain into structured problem statements and scoped plans
• Design and build agentic workflows and automations using tools including Claude, n8n, Airtable, Python scripting, and AI-native tooling
• Develop and maintain integrations across internal platforms
• Build lightweight internal agents that surface anomalies, generate narrative summaries, and flag risks from financial, project, and operational data
• Contribute to the AI accelerator portfolio
• Support development of a centralized data lake and BI layer
• Translate stakeholder reporting needs into clean data requirements
• Contribute to forward-looking operational intelligence
• Support Ops Strat & BI leadership in the initial building of business cases for operational investments
• Communicate plans and progress to stakeholders across levels
• Produce clear documentation, process decks, and implementation briefs

Benefits

• The base compensation range for this role is $100,000 – $150,000
• Open to hiring at the level that best matches the right candidate's experience
• Actual compensation influenced by skill set, level of experience, budget, and location