Senior Director, Channel Marketing Analytics (EdTech)

TL;DR

Senior Director, Channel Marketing Analytics (EdTech): Leading the analytical strategy and measurement frameworks to drive performance across paid, organic, email, and field marketing channels with an accent on attribution, incrementality, and ROI optimization. Focus on designing advanced measurement systems, scaling test-and-learn practices, and operationalizing AI/ML techniques to maximize growth.

Location: Remote (US)

Company

hirify.global is an education technology company that helps universities develop and grow workforce-focused online degree programs to increase access to affordable education.

What you will do

• Partner with Channel Marketing executives to shape strategy, optimize investment, and identify growth opportunities.
• Own measurement frameworks, including attribution, incrementality, causal inference, and experimentation.
• Build and scale test-and-learn practices such as A/B testing, geo experiments, and MMM enhancements.
• Lead analytics for targeting, bidding strategies, spend allocation, and engagement patterns across the full funnel.
• Mentor and grow a high-performing team of analysts, establishing shared methodologies and analytical standards.
• Apply AI/ML and GenAI tools to automate insight generation, optimize predictive bidding, and enhance storytelling.

Requirements

• 10+ years of experience in marketing analytics, performance marketing, or data-driven growth roles.
• Proven ability to design and operationalize attribution models, incrementality frameworks, and multi-touch testing strategies.
• Demonstrated success building and leading high-performing analytics teams.
• Hands-on experience with modern mar-tech ecosystems and cloud-based data environments.
• Must be based in the US.
• Strong executive-facing communication skills and the ability to influence senior stakeholders.

Nice to have

• Experience in EdTech, marketplace, or multi-channel performance environments.
• Expertise in MMM, revenue forecasting, and marginal ROI analysis.
• Knowledge of uplift modeling and quasi-experimental approaches (e.g., synthetic controls).
• Fluency in operationalizing AI-driven levers like predictive bidding and clustering.

Culture & Benefits

• Opportunity to drive measurable impact in the field of affordable higher education.
• Collaborative environment with direct partnership to executive leadership.
• A culture emphasizing curiosity, innovation, and a strong bias toward insight-to-action.
• Commitment to a diverse and inclusive workforce as an equal-opportunity employer.