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

Are you ready for what’s next?   Come explore opportunities within Brunswick, a global marine leader committed to challenging conventions and innovating next-generation technologies that transform experiences on the water and beyond.  Brunswick believes “Next Never Rests™,” and we offer a variety of exciting careers and growth opportunities within united teams defining the future of marine recreation.  Location:  Mettawa, IL Workplace Category: Hybrid, 3x per week in office Direct Reports:   No Pay Range:   $118,400-174,000 Visa Sponsorship:   Applicants must be currently authorized to work in the United States.  This position is not eligible for employment visa sponsorship now or in the future.     Innovation   is the heart of Brunswick .    See   how   your   contributions   will   help   transform vision into reality :   Position Overview :    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 .     Essential Functions :      1. Use Case Discovery & Solution Auditing (The Systems Thinker)   Triage & Backlog Management:   Actively partner with brand and business teams to audit their 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."     2. Technical Prototyping & Agent Development (The Builder)   Rapid Prototyping:   Build and test AI-driven agents and intelligent automation workflows using APIs and orchestration frameworks   approved by Brunswick Corporation.   Production Integration:   Operationalize and inject these AI prototypes into our core marketing systems (e.g., Marketo, Salesforce, CMS, and dynamic creative platforms) to ensure   a frictionless   user experience for frontline marketers.  E nsure 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.    3. Tactical Deployment & Brand Enablement (The Program Manager)   Run Agile Sprints:   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.   4. Reporting & Value Realization   Transparency :   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.   Diversity   of   thought and experience s   is   fundamental when   imagin ing   the unimaginable .   Certain skillsets/experiences   are necessary;   however,   others can be developed   along the way .     Required Qualifications:      Experience:   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 fl