Responsibilities

• Lead our SEM efforts, including analyzing campaign data and translating it into actionable insights
• Manage and forecast SEM budgets, monitoring performance regularly and alerting stakeholders when attention is needed
• Collaborate with the broader team to identify objectives and goals for each division and implement the best digital ad strategies to achieve goals
• Ensure campaigns are implemented timely and accurately
• Design optimized experiences for targeted audience segments and develop a testing roadmap that includes a process for organizing results & aggregating learnings, including clear communication to relevant stakeholders
• Develop, implement, and troubleshoot pixel and tracking tags, including creative and placement tags, in partnership with the team to support media goals, with responsibility for documentation, testing, and ongoing troubleshooting
• Serve as a primary escalation point for troubleshooting and resolving campaign discrepancies, ad serving errors, broken creative, and 3rd party tracking issues
• Manage issues with reporting visualization tool and work directly with the Business Analytics team to resolve issues
• All other duties as assigned

Requirements

• Bachelor’s degree in Marketing, IT, Computer Science or relevant field
• Comfortable with reading & writing Google Appscript
• A deep knowledge of PPC, tracking techniques, and data analysis
• Proficient with Google Ads, Google Analytics (GA4), Google Tag Manager, and Google Sheets
• Experience with efficiently managing large marketing budgets
• A proven track record for developing testing strategies that deliver marketing wins
• Good communication skills. Able to effectively communicate concepts to individuals with varying levels of digital marketing knowledge
• Cross-channel marketing experience
• 5+ years of previous related experience
• Hybrid role: minimum 3 days per week in office; requirements may vary by Division/Department

Preferred

• Experience with SEO and best practices
• Experience in the homebuilding industry
• Enterprise account management experience overseeing budgets greater than $1,000,000
• Experience with Big Query, Python, Machine Learning/AI, and various data visualization tools (Power BI)
• Demonstrated success executing Conversion Rate Optimization (CRO) & ad landing page strategies