Responsibilities

• Develop and execute the enterprise MarTech vision and roadmap aligned with business goals and growth objectives.
• Evaluate, implement, and optimize a scalable marketing technology ecosystem across multiple brands.
• Partner with Marketing, Product, Analytics, Technology, Customer Care, and Executive Leadership teams to drive innovation and customer-centric strategies.
• Serve as the executive sponsor for marketing technology transformation and modernization initiatives.
• Lead strategy and optimization for customer data platforms (CDP), CRM, email, SMS, loyalty, mobile engagement, and lifecycle marketing technologies.
• Drive advanced audience segmentation, identity resolution, customer scoring, and real-time personalization capabilities.
• Implement data-driven omnichannel customer journeys that increase engagement, retention, repeat purchase behavior, and customer lifetime value.
• Champion the adoption of AI and machine learning solutions across personalization, content generation, customer insights, and marketing optimization.
• Establish robust experimentation, attribution, measurement, and predictive analytics frameworks.
• Ensure reliable marketing data infrastructure, governance standards, and enterprise reporting capabilities.

Requirements

• 10+ years of progressive leadership experience in Marketing Technology, Digital Transformation, Marketing Operations, CRM, Customer Engagement, or related fields.
• Proven success leading MarTech organizations within digital-first retailers, consumer brands, marketplaces, or multi-brand enterprises.
• Demonstrated experience architecting and scaling modern marketing technology ecosystems.
• Strong background in personalization, customer lifecycle marketing, and data-driven customer experiences.
• Experience managing enterprise-level technology roadmaps and cross-functional teams.
• Deep knowledge of platforms such as Salesforce Marketing Cloud, Braze, Iterable, Klaviyo, Adobe Experience Cloud, Tealium, Segment, mParticle, Amplitude, GA4, Snowflake, and related technologies.
• Strong understanding of customer data architecture, identity resolution, first-party data strategy, API integrations, and data engineering concepts.
• Experience leveraging AI/ML applications, experimentation frameworks, analytics platforms, and attribution models to drive business outcomes.
• Strategic, innovative thinker with a strong product and technology mindset.
• Exceptional executive presence, communication, and stakeholder management skills.

Benefits

• Medical insurance
• Vision insurance
• Dental insurance
• 401(k)
• Disability insurance