Associate Consultant

About the Role

Designing Agentic AI solutions for Marketing teams on Google Cloud, covering campaign operations, content lifecycle, audience segmentation, engagement analytics, and attribution modeling.

Key Responsibilities

• Define workflows, requirements, and agent behaviors to automate and optimize the marketing engine.
• Document processes across campaign planning, execution, nurture programs, and attribution.
• Define segmentation logic, MQL/SQL lifecycle rules, and engagement scoring models.
• Identify areas where AI can automate or enhance campaign insights, persona-based content engagement predictions, and attribution optimization.
• Partner with Product Marketing, Demand Gen, and MarTech teams.
• Create detailed user stories, functional specs, and data requirements.
• Define Agent Use Cases such as:
• Campaign Performance Agent
• Audience Segmentation Agent
• Content Recommendation Agent
• Attribution Insights Agent
• Define KPIs: CAC, ROAS, MQL→SQL conversion, engagement metrics, attribution models.
• Work with Data Teams to map data from Marketo / HubSpot, Google Analytics / GA4, CRM.
• Validate AI outputs with benchmark datasets and historical campaign performance.
• Work closely with AI Architects to define prompt logic, agent workflows, and evaluation metrics.
• Communicate processes, blockers, and recommendations to leadership.
• Support AI capability adoption across global marketing teams.

Requirements & Tech Stack

• Deep understanding of Marketing Automation tools (Marketo, HubSpot, Eloqua).
• Knowledge of Engagement Scoring, Campaign Ops, Segmentation, Attribution.
• Strong experience in Marketing Analytics, GA4, Looker, dashboards, KPIs.
• Strong documentation and business analysis skills.
• Understanding of AI and automation use cases in MarTech.
• Experience in AI-driven personalization and marketing automation.
• Experience working with cloud data platforms such as BigQuery.

Qualifications

• Certifications in HubSpot, Marketo, or Google Analytics.