Client Overview Our client is a leading global apparel company focused on delivering innovative fashion solutions. The company operates across multiple brands and channels, emphasizing digital transformation and customer engagement. They are known for their commitment to sustainability and dynamic workplace culture and are currently looking to add a Digital Project Manager (Optimization/Personalization) to their team. Salary/Hourly Rate $65/hr - $70/hr Position Overview The Digital Project Manager (Optimization/Personalization) will work on a hybrid schedule (4 days onsite, 1 day remote) on a 9-month contract basis. This individual will lead the planning, execution, and optimization of digital experiences across e-commerce platforms. The role bridges business stakeholders, Creative teams, Merchandising, Technology, Analytics, and agency partners to deliver impactful digital content and personalization strategies. The position supports digital growth by managing content lifecycles, experimentation initiatives, and continuous improvement efforts. Responsibilities Of The Digital Project Manager (Optimization/Personalization)
Lead planning, prioritization, and execution of website content updates, promotional campaigns, and seasonal experiences.
Manage project timelines, dependencies, and stakeholder communications for digital content initiatives.
Partner with Creative, Merchandising, Marketing, Product, and Technology teams to deliver seamless customer experiences.
Ensure digital experiences align with brand standards, business objectives, and customer journey best practices.
Identify opportunities to improve operational efficiency within the content publishing process.
Own the roadmap for A/B and multivariate testing initiatives across the e-commerce experience.
Partner with Business teams to identify optimization opportunities and translate hypotheses into test plans.
Coordinate implementation with Development teams and testing platforms.
Monitor test execution to ensure quality and accurate measurement.
Analyze experiment results and communicate actionable recommendations to stakeholders.
Build a culture of experimentation and data-driven decision-making.