Martech Lead

g architecture for new and existing customers, encompassing

• Targeting & Retargeting: Develop and implement strategies for audience segmentation, targeting, and retargeting across various channels (e.g., website, email, social media, etc).

Real-time Personalization:

• Design and implement real-time personalization strategies for existing and new customers across various channels (e.g.,online and offline channels).
• Integrate real-time data streams (e.g., website behavior, location data, purchase history) to deliver personalized experiences.
• Partner with Data Engineering to design and integrate rules-based and machine learning-based personalization models.

Customer Data Platform (CDP) Development:

• Design and implement a CDP strategy, including:
• Data Ingestion & Orchestration: Develop and manage data pipelines for ingesting and enriching 1st, 2nd, and 3rd party data.
• Customer Segmentation & Profiling: Develop and maintain customer segments based on behavioral, demographic, and other relevant data.
• Data Activation: Integrate the CDP with downstream systems (e.g., marketing automation, advertising platforms, NBx and system of engagements ) to activate customer data for personalized campaigns.

Prospect Data Store & Management:

• Design and implement a robust prospect data store, including:
• Data acquisition and enrichment strategies.
• Data quality and hygiene processes.
• Data privacy and compliance considerations.

Cross-functional Collaboration:

• Design and implement a scalable and robust MarTech Solution in collabroateion with the Site Engineering and Data Engineering teams
• Work closely with marketing, business, cross IT Teams and UX teams to understand their data needs, events to be captured and delivering use cases
• Facilitate communication and knowledge sharing across all stakeholders.

Technology Expertise:

• Deep understanding of MarTech stacks, such as Tealium, Google Cloud Platform, Kafka.
• Expertise in CDPs (e.g., Tealium CDP, Adobe Experience Platform, Salesforce CDP,).
• Strong understanding of data integration, data warehousing, and data pipelines.
• Proficiency in SQL and NoSQL databases.
• Experience with cloud computing platforms (Google Cloud Platform).

Compensation, Benefits, & Additional Details:

At Health-E Commerce, our goal is to provide an offer that supports growth potential within the role and allows for future salary progression. Final compensation is evaluated on various factors which include but aren't limited to experience, skills, internal equity among peers, and geographic location.

• Compensation: $130,000 - 160,000
• Discretionary Annual Bonus Eligibility: Up to 10%
• Medical, Dental, Vision, and 401K with a company match
• Dependent Care, FSA & HSA accounts
• Paid Parental & Bonding Leave
• Flexible PTO & office closure on all major holidays
• Monthly wellness & internet reimbursements
• Professional development including certification support & leadership coaching
• Mental Health resources
• 100% remote within the United States
• Must be able to work EST hours

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