AI Operations & Enablement Lead – Marketing Center of Excellence (CoE)

Brunswick Corporation•Mettawa, IL

2d•$118,400 - $174,000•Hybrid

About The Position

We are seeking an AI Operations & Enablement Lead to join our Marketing Center of Excellence (CoE). This is a unique, high-impact role that bridges the gap between abstract AI capabilities and real-world marketing execution. Operating as a centralized peer and partner to our regional brands and business units, you will be responsible for identifying high-value marketing use cases, prototyping and reviewing AI agent solutions, and physically deploying tactical automations that drive measurable efficiency. While this role requires a master-level grasp of systems thinking and cross-functional program management to navigate our corporate architecture, it is fundamentally a scrappy, builder-first position. You will not just recommend solutions—you will build, tweak, audit, and run them alongside our brand teams. At Brunswick, we have passion for our work and a distinct ability to deliver.

Requirements

5–8 years blending Marketing Operations, Technical Program Management (TPM), Product Operations, or MarTech engineering.
Recent Hands-On AI Building: Must have a proven track record of actively building with current AI tools within the past 12 months (e.g., custom agent orchestration, API-driven workflows, or multi-step LLM automations). Be prepared to walk through a workflow you built.
Systems & Architecture Fluency: A strong conceptual grasp of how enterprise data flows, how APIs connect, and how AI overlays across a fragmented modern marketing stack.
MarTech Familiarity: Solid working knowledge of enterprise CRMs, marketing automation platforms, and ad platforms (e.g., Salesforce, Adobe/Marketo, Google/Meta Ads infrastructure).
The "Scrappy Translator" Mindset: Exceptional communication skills with the ability to explain complex LLM behaviors to a traditional brand manager, coupled with a self-directed work style that thrives on "figuring it out" in ambiguous environments.

Responsibilities

Use Case Discovery & Solution Auditing: Partner with brand and business teams to audit current workflows, identify bottlenecks, and surface high-impact AI opportunities (e.g., automated content variation, localized ad ops, predictive lead scoring).
Solution Review: Evaluate existing or vendor-proposed AI tools to ensure they integrate seamlessly with our current MarTech stack without fracturing data workflows or violating security guardrails.
Feasibility Guardrails: Filter opportunities into distinct buckets: "Quick wins" (low-code automation), "Strategic builds" (partnering with Data Science), or "Not viable."
Technical Prototyping & Agent Development: Build and test AI-driven agents and intelligent automation workflows using APIs and orchestration frameworks approved by Brunswick Corporation.
Production Integration: Operationalize and inject AI prototypes into core marketing systems (e.g., Marketo, Salesforce, CMS, and dynamic creative platforms) to ensure a frictionless user experience for frontline marketers. Ensure every production workflow has a named business owner and review cadence.
Performance Monitoring: Set up basic observability tracking to ensure deployed agents are accurate, cost-effective, and performing as intended without "hallucination drift."
AI Governance: Partner with cross-functional teams to operationalize responsible-AI guardrails across all deployed agents including: tool/vendor intake reviews, data-handling and PII boundaries, prompt and output logging, human-in-the-loop checkpoints, and a documented kill-switch protocol for any agent that drifts out of tolerance.
Tactical Deployment & Brand Enablement: Own the execution roadmap by managing 2-week agile sprint cycles to move AI solutions rapidly from ideation to active deployment within business units.
Playbook Creation: Translate successful deployments into repeatable, documented playbooks, governance decision trees, and self-service templates so other brands can adopt them autonomously.
Hands-on Hypercare: Embed with brand teams during early deployment phases to troubleshoot, gather immediate feedback, and optimize solutions in real-time.
Adoption: Drive sustained usage by running brand-embedded enablement programs, office hours, and a marketing AI Champions network across divisions and COE.
Community Building: Lead onboarding for new tools and proactively identify low-adoption pockets to coach teams through resistance, skill gaps, or workflow friction.
Prompting: Structure, standardize and continuously refine a shared prompt and pattern library.
Reporting & Value Realization: Own the AI COE value narrative by building and maintaining a leadership-ready dashboard that tracks adoption metrics (active users, % of teams onboarded), efficiency outcomes (hours saved, cycle-time compression), and solution health (accuracy, incident counts, etc.).
Socialization: Deliver a monthly scorecard and quarterly business review that translates technical output into measurable enterprise impact for marketing leadership and the broader executive team.