Qualifications
Responsibilities
Benefits
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.
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.
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. 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.
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.
Diversityofthought and experiencesis fundamental when imagining 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 flows, how APIs connect, and how AI overlays across a fragmented modern marketing stack.
MarTechFamiliarity: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.
What Success Looks Like in 6 Months:
You have successfully audited our top 3 prioritized functional capability areas and established a clear, prioritized backlog of AI operational use cases.
You have built, tested, and deployed at least 4 custom AI workflows or agent solutions that compress marketing production time by 30% or greater.
You have built a foundational "Marketing AI Playbook" that allows teams to self-vet ideas before bringing them to the CoE.
You have achieved 40% active adoption across the top 3 prioritized initiatives, measured by weekly active users of deployed workflows.
The anticipated pay range for this position is $118,400-174,000 annually. The actual base pay offered will vary depending on multiple factors including job-related knowledge/skills, relevant experience, business needs, and geographic location. In addition to base pay, this position is eligible for an annual discretionary bonus.
At Brunswick, it is not typical for an individual to be hired at or near the top end of the salary range for their role. Compensation decisions are dependent upon the specifics of the candidate’s qualifications and the business context.
This position is eligible to participate in Brunswick's comprehensive and high-quality benefits offerings, including medical, dental, vision, paid vacation, 401k (up to 4% match), Health Savings Account (with company contribution), wellbeing program, product purchase discounts
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