Director, Digital Marketing & Analytics

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Job Title: Director, D2C Digital Marketing & Analytics (hybrid onsite Monday- Thursday)

Location: US-GA-Atlanta (Sandy Springs)

FLSA: Exempt 

#LI-Hybrid

Job Overview:

We are looking for a forward-thinking, AI-driven Director of Digital Marketing & Analytics to lead our Direct-to-Consumer marketing and data functions. This is a strategic leadership role for a modern digital leader who understands that marketing and data are inseparable — and who knows how to architect AI-enabled workflows that drive performance from lead acquisition through to insights delivery.

Reporting to the Senior Director of D2C, you will lead an integrated team spanning campaign management, web content, and data analytics, setting the vision and operational framework for how the D2C team uses data, technology, and AI to compete and win. You will own the full lead-to-output pipeline — from how we acquire and engage customers, to how we measure, report, and continuously improve performance.

Job Responsibilities:

• Lead and develop an integrated team of marketing campaign managers and data analysts, fostering a high-performance, AI-native culture.
• Define and execute the D2C digital marketing and analytics strategy, aligned to business goals across revenue, conversion, customer acquisition, and retention.
• Serve as the internal authority on digital marketing best practices, emerging AI tools, and data-driven decision-making — coaching the team and modeling the behaviors that drive results.
• Partner with the Senior Director of D2C and cross-functional leaders (engineering, product, sales, UX, payments, delivery) to align strategy with execution.
• Lead the team's adoption of AI tools and methodologies across content creation, campaign optimization, analytics, and reporting — driving meaningful efficiency and output improvements.
• Architect AI-enabled workflows that reduce manual effort and elevate the quality of marketing execution and data insights across the D2C function.
• Apply machine learning, predictive modeling, and AI-driven analytics to optimize campaign performance, customer segmentation, and lead acquisition strategy.
• Stay ahead of developments in AI, GEO (Generative Engine Optimization), AEO (Answer Engine Optimization), and SEO — translating emerging trends into competitive advantage for the D2C channel.

The above statements are intended only to describe the general nature of the job and should not be construed as an all-inclusive list of position responsibilities.

Job Requirements:

• 8+ years of experience in digital marketing, analytics, or a combined marketing and data leadership role, with demonstrated business impact.
• Proven leadership experience managing cross-functional teams spanning marketing and analytics functions.
• Deep expertise in digital marketing — including email, SEO/GEO/AEO, content strategy, and campaign management — with a strong grasp of how each discipline interconnects.
• Strong hands-on experience with web analytics and marketing platforms: Google Analytics, Google Tag Manager, Search Console, SEMrush, HubSpot, and BI tools (Power BI, Tableau, or similar).
• Proficiency in SQL with the ability to independently write and modify queries to extract, transform, and analyze data for reporting purposes — including joins, aggregations, filters, and basic CTEs.
• Demonstrated track record of leveraging AI-powered tools (e.g., Claude, Copilot, or similar) to materially improve team efficiency, automate workflows, and elevate insight generation and marketing output.
• Experience with lead acquisition strategy and CRM integration, with the ability to connect marketing execution to measurable pipeline and revenue outcomes.
• Strong analytical thinking with the ability to translate complex data into clear, compelling narratives for executive and client audiences.
• Excellent communication and stakeholder management skills, with experience influencing across functions and levels.
• Bachelor's degree in Marketing, Business, Data Science, Statistics, or a related field.

Preferred Qualifications

• Experience applying machine learning, predictive modeling, or advanced analytics to marketing or business intelligence use cases.
• Familiarity with the automotive, insurance, or vehicle protection industry — or demonstrated ability to quickly ramp on industry-specific metrics and client expectations.
• Experience in a D2C, e-commerce, or high-growth digital environment.
• Knowledge of A/B testing methodologies and conversion rate optimization.
• Master's degree or higher in a relevant discipline.

Company Benefits: 

• Medical, Dental, and Vision Insurance 
• Flexible Spending Account
• Health Savings Account 
• 401(k) Plan with Company Match
• Company-paid Short-Term and Long-Term Disability
• Company-paid Life Insurance
• Paid Holidays and Vacation
• Employee Referral Program
• Employee Assistance Program
• Wellness Programs
• Paid Community Service Opportunities
• Tuition Reimbursement
• Ongoing Training & Personal Development
• And More! 

About Safe-Guard Products International:

Safe-Guard serves Original Equipment Manufacturers (OEMs), top retailers, and independent agents in the automotive finance and insurance industry with the leading Protection Products Platform. Our platform delivers innovative protection products and solutions that protect consumers from the perils of ownership, while providing Finance &Insurance professionals the tools to ignite scalable and sustainable business growth. Safe-Guard’s success is driven by over 850 employees, who serve more than 12,000 dealers and support contract holders across the U.S. and Canada.

For 30 years and counting, our team continues to transform the motor vehicle space, earning a stellar reputation from our partners and peers by providing: 1) the highest quality protection products in the industry, 2) a broad platform of branded product, technology, marketing, and training solutions, and 3) an unwavering commitment to uncomplicated care and customer service.

Safe-Guard Products International is an equal opportunity employer and gives consideration for employment to qualified applicants without regard to age, race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, marital status, disability or protected veteran status, or any other status or characteristic protected by federal, state, or local law.