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Wedgewood · 2 months ago

Marketing Data Automation Manager

Swedesboro, NJ 08085, USA

Full-time

Hybrid

Senior Level

5+ years exp

Wedgewood Pharmacy is a trusted provider of high-quality compounded medications, focused on innovation and patient care. They are seeking a Marketing Data Automation Manager to lead the design and optimization of their marketing data ecosystem, including data infrastructure, automation workflows, and performance analytics.

PharmaceuticalVeterinary

Responsibilities

Build and optimize marketing data systems: Design and implement scalable data pipelines and automation frameworks that power marketing campaigns

Integrate and govern data: Oversee seamless connections between marketing platforms and internal systems, ensuring data accuracy, quality, and compliance

Automate and personalize campaigns: Lead automation of workflows such as lead scoring, segmentation, attribution, and real-time personalization

Leverage advanced analytics: Partner with data science and BI teams to deliver insights, predictive models, and actionable dashboards that guide commercial and marketing strategy

Drive innovation: Champion AI/ML adoption for smarter customer journey optimization and predictive analytics

Collaborate and lead: Act as the bridge between marketing, IT, and data teams; manage developers or external vendors as needed; and cultivate a data-driven culture across the organization

Qualification

Marketing automation platformsData integration toolsSQLPythonBIVisualization toolsData privacy regulationsData-driven marketingLeadershipCollaborationProblem-solving

Required

Bachelor's in Marketing, Data Science, Computer Science, or a related field

5+ years of experience in marketing technology, data engineering, or marketing analytics

Deep expertise in marketing automation platforms (e.g., Emarsys, Marketo, HubSpot, Salesforce Marketing Cloud) and data integration tools (e.g., Snowflake)

Proficiency in SQL, Python, or other data manipulation languages

Experience with BI and visualization tools (e.g., Sigma, Tableau, Power BI, Looker)

Proven track record of leading cross-functional projects and delivering scalable solutions

Familiarity with data privacy regulations (GDPR, CCPA) and AI/ML marketing applications like churn prediction or recommendation engines