Responsibilities

• Own the email performance framework, including KPIs, benchmarks, testing methodology, and reporting standards.
• Translate business objectives into measurable email goals (engagement, conversion, retention, revenue, or activation).
• Identify performance gaps and optimization opportunities across campaigns, automations, and lifecycle journeys.
• Lead continuous improvement initiatives using data, insights, and experimentation.
• Develop and implement strategies to grow a high-quality, first-party email subscriber base across owned digital touchpoints, while maintaining consent and list quality standards.
• Analyze email performance across segments, journeys, and audiences to uncover trends and insights.
• Design and oversee A/B and multivariate testing for email channel in partnership with Personalization manager (subject lines, content, cadence, personalization, send-time optimization).
• Partner with data and analytics teams to ensure accurate tracking, attribution, and data integrity.
• Communicate insights clearly to stakeholders and recommend actionable next steps.
• Optimize performance across key lifecycle stages (onboarding, engagement, retention, reactivation).

Requirements

• Bachelor's degree in marketing, business or a related field.
• 8+ years of experience in email marketing, lifecycle marketing, or CRM, with a strong focus on performance optimization.
• Proven experience owning email KPIs, reporting, and testing programs.
• Strong analytical skills with the ability to turn data into clear insights and recommendations.
• Hands-on experience with email and marketing automation platforms (e.g., Salesforce Marketing Cloud, HubSpot, Marketo).
• Deep understanding of email deliverability, segmentation, and personalization.
• Excellent communication and stakeholder management skills.

Preferred

• Experience working within healthcare, medical device, pharmaceutical or other regulated industries.
• Experience with customer data platforms (CDPs), business intelligence (BI) tools and advanced analytics.
• Experience in applying artificial intelligence (AI) or machine learning tools to improve targeting, testing, or performance insights.