AI & Marketing Analytics Operations Manager
Plutus21 · Casablanca
Description du poste
About the role
The AI & Marketing Analytics Operations Manager builds AI, automation, data, and reporting capabilities that power the Marketing function. This role designs, ships, and maintains production‑ready AI agents and reporting solutions, turning fragmented data and manual workflows into trusted insights and scalable systems.
Key responsibilities
- Build AI‑driven reporting solutions that automate data preparation, analysis, narrative generation, insight identification, and recurring business readouts.
- Design, ship, and maintain AI agents, skills, and applications that automate operational processes, marketing tasks, and campaign execution.
- Own and evolve the Marketing reporting ecosystem across paid media, digital, web, email, events, partner, ABM, lifecycle, and organic programs.
- Design attribution models and guide channel investment decisions.
- Establish measurement frameworks, reporting standards, and KPI definitions for consistent decision‑making.
- Produce executive‑ready reporting linking channel performance to pipeline, revenue, acquisition, and conversion outcomes.
- Lead leadership readouts, business reviews, and performance discussions, surfacing trends, risks, opportunities, and trade‑offs.
- Collaborate cross‑functionally to align data definitions, reporting logic, system requirements, and shared success metrics.
Required profile
- Five or more years of experience in Marketing or Revenue Analytics or a related field.
- Proven experience building AI‑driven reporting solutions and production‑ready AI applications, agents, or automations.
- Working knowledge of multiple attribution models and ability to explain their strengths and limitations.
- Hands‑on experience with multi‑channel marketing reporting and campaign performance measurement.
- Familiarity with Salesforce (SFDC) reporting structures, campaign hierarchy, and data‑quality practices.
- Strong analytical and problem‑solving skills with the ability to translate technical concepts into clear, actionable insights for non‑technical audiences.
Required skills
- Modern AI technologies (e.g., Claude Code, Claude Cowork or comparable platforms)
- AI agents and automation development
- Attribution modeling
- Multi‑channel marketing reporting
- Salesforce (SFDC) reporting and data‑quality practices
- Data preparation, analysis, and narrative generation
- Measurement frameworks, KPI definition, and executive reporting
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Plutus21
Casablanca
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