Senior Product Manager – Testing (adobe target ab testing pdm) (6200)

itD is seeking a Senior Product Manager – Testing to lead and scale enterprise experimentation capabilities across digital products, driving data-informed product decisions and advancing a mature culture of experimentation. This role will help establish best practices, improve experimentation rigor, and enable teams to leverage testing as a strategic product capability.

Responsibilities:

• Lead experimentation strategy across web, desktop, iOS, and Android digital products
• Design, execute, and scale advanced experimentation programs, including multivariate testing, holdout testing, sequential testing, and other sophisticated methodologies
• Partner with engineering, analytics, and AI/ML teams to ensure statistically sound experiment design, implementation, measurement, and interpretation
• Analyze experiment outcomes in depth by identifying trends, diagnosing anomalies, validating assumptions, and uncovering actionable business insights
• Develop and implement scalable experimentation frameworks, governance models, and best practices across multiple teams
• Review and optimize experiment design, execution processes, and reporting standards to improve testing effectiveness and reliability
• Translate experimentation results into clear product recommendations and business decisions that drive measurable outcomes
• Attend regular internal practice community meetings
• Collaborate with your itD practice team on industry thought leadership
• Complete client case studies and learning material (blogs, media material)
• Build out material to contribute to the Digital Transformation practice
• Attend internal itD networking events (in person and virtual)
• Work with leadership on career fast-track opportunities

Requirements:

• 5+ years of experience in Product Management, Experimentation, Testing, or data-driven product roles
• Hands-on experience with enterprise experimentation platforms such as Adobe Target or comparable testing solutions
• Proven experience operating within high-volume, enterprise-scale experimentation environments
• Deep understanding of experimentation methodologies beyond basic A/B testing, including multivariate testing, holdout testing, and advanced experimental design
• Strong knowledge of statistical concepts including sample size determination, statistical significance, bias, variance, confidence intervals, and experiment validity
• Experience partnering with cross-functional teams including engineering, analytics, and data science organizations
• Demonstrated ability to perform detailed experiment analysis and translate findings into actionable product and business recommendations
• Bachelor's degree in a relevant field or equivalent work experience required
• Experience building, scaling, or governing enterprise experimentation frameworks and platforms
• Exposure to personalization systems, feature flagging platforms, or adaptive experimentation approaches
• Experience with server-side experimentation and backend-rendered application environments
• Experience supporting experimentation initiatives within large-scale technology, e-commerce, or digital consumer product organizations
• Familiarity with AI/ML-driven optimization and experimentation use cases