Vice President, Marketing Lead-Channel Strategy & Optimization
On-siteWilmington, Delaware, United States
Job Summary
Build a repeatable view of Line of Business performance and drivers, translating complex signals into actionable insights to diagnose drop-offs and drive recovery plans. Lead the development of the optimization framework across Owned channels, including governance, analytics, and solutioning, while advancing AI and automation to reduce manual operations. Monitor weekly and monthly results, surface material changes, and run root-cause analyses to ensure campaigns meet performance benchmarks. Create governance routines, playbooks, and control requirements to standardize best practices and unlock product roadmap requirements. Partner with relationship management, product, and experimentation teams to align priorities and produce executive-ready narratives for senior stakeholders.
Required Qualifications
- Master's degree in a marketing or relevant business field (e.g. digital product, marketing analytics)
- 8+ years of hands-on experience in digital marketing analytics, performance measurement, and optimization across web/app owned channels
- Demonstrated ability to structure ambiguous problems, create analytical frameworks, and drive decisions with data
- Proven executive communication skills—can turn analysis into clear recommendations, trade-offs, and decision narratives
- Strong stakeholder management and business judgment; able to balance speed, governance, and performance outcomes
- Strong program/project leadership with comfort running multiple workstreams simultaneously
- Hands-on proficiency with analytics and reporting tooling (e.g., Adobe Analytics, Tableau or similar platforms)
- Strong analytics, executive communication, stakeholder leadership, and the ability to operate independently in a fast-paced environment
Desired Qualifications
- Experience owning governance mechanisms and controls in a regulated environment (audit readiness, documented standards, decision logs)
- Deep experience with experimentation strategy (test design, launch governance, measurement, and scaling learnings)
- Proven track record influencing product/engineering roadmaps through clearly defined requirements and quantified business cases
- Demonstrated ability to operationalize AI/automation to reduce manual work and improve marketing efficiency
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