Senior Manager, Marketing AI & Analytics
A
AbsorbOnline training solutions
Remote CANFull-TimeManager
Salary not disclosed
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Job Details
- Experience
- 5–10 years of experience across some combination of: strategy, consulting, marketing operations, analytics, business operations, or revenue operations
- Required Skills
- SQLArtificial IntelligenceData AnalysisGCPStrategyBusiness Operations
Requirements
- You've built working AI solutions end-to-end — from identifying a problem, to prototyping with LLM APIs or agentic coding tools, to putting something in production that people actually use
- You're comfortable with code, SQL, and data infrastructure — not necessarily as a trained engineer, but as someone who can ship working solutions that involve all three
- Strong structured problem-solving — the kind honed in consulting, strategy roles, or high-accountability operating environments
- 5–10 years of experience across some combination of: strategy, consulting, marketing operations, analytics, business operations, or revenue operations
- Analytical depth: you can build a report, question the data, find the story, and present it clearly to a senior stakeholder
- People leadership experience or strong evidence of mentoring and developing junior talent
- High agency, low ego, and a bias toward building over recommending
Responsibilities
- Identify high-impact opportunities to apply AI across marketing and build production-ready solutions (not concepts or decks)
- Own end-to-end delivery: ideation, prototyping, validation, and deployment
- Develop and maintain AI-driven workflows (e.g., content generation, lead scoring, competitive intel, reporting)
- Evaluate emerging AI tools and lead build vs. buy decisions
- Establish scalable frameworks, documentation, and adoption best practices
- Act as the internal expert on applied AI, influencing strategy and upskilling teams
- Own and evolve the marketing data stack (warehouse + integrations across CRM, automation, ads, and web analytics)
- Build automated reporting that delivers actionable insights to stakeholders
- Lead deep-dive analyses on pipeline, channel performance, attribution, lead quality, and ROI
- Improve data quality, measurement frameworks, and reporting coverage
- Manage data orchestration (APIs, workflows, automation pipelines)
- Lead and develop a high-performing team of two analysts
- Transition key work from external consultants to in-house capability
- Partner closely with Marketing leadership to drive strategic initiatives
- Deliver clear insights, recommendations, and materials to support executive decision-making
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