Manager Digital Experience Optimization

at  Adidas

Purpose & Overall Relevance for the Organization:
As a Manager Digital Experience Optimization, you are responsible for executing the conversion optimization strategy on adidas’ digital platforms. You will be supporting digital product teams by facilitating product discovery, running A/B tests or other validation methods and making sure learnings are shared and implemented.
Your primary product area will be the Lower Funnel, where you will work on optimization opportunities across either the Checkout or the Post-Sales experience. You will be optimizing for business and consumer experience KPIs, ranging from conversion and profitability to return rates, consumer service contacts or NPS.
The ideal candidate has a passion for and experience in consumer experience optimization and is very comfortable with data. The candidate will have a background in a quantitative or qualitative optimization field and has experience in data-driven decision making, ideally in driving the growth of digital products and working with multifunctional teams in an e-commerce environment.
The candidate has the ability to flex between going wide on sizable opportunities that will impact all consumers and going deep into specific locales and consumer segments to optimize for specific user groups. This role requires top level, solid communication to not only deliver data, but answer the business problem and provide the behavioral learnings and consumer decision-making context behind the data.

Key Responsibilities:

• Support/facilitate discovery process with a cross-functional team consisting of a product owner, UX design, tech lead and supporting colleagues from analytics, user research and operations.
• Partner with business stakeholders to identify key consumer problems and opportunities and distill the right strategical themes which will drive the business forward.
• Collaborate with internal analytical counterparts to understand and size opportunities, gather concrete insights and create target audiences.
• Validate hypotheses that come out of the discovery process through AB-testing, user research or other means and guide the evaluation to gather learnings.
• Leverage best in class tools and processes for monitoring performance, refining audiences, and defining further optimization and personalization.

Key Relationships:

• Product Owners and Product Specialists
• Digital Analytics
• UX Community
• Global IT and Global Operations
• Omnichannel
• Digital Sales Solutions
• App

Requirements, Education & Experience:

• BA/MS/MA in (Commercial) Economics, Marketing, Psychology, Neuromarketing, or other relevant area
• At least 5+ years of experience in defining and executing data-driven optimization in multifunctional teams
• A good understanding in digital analytics, preferably including experience in tools such as Adobe Analytics, GA, etc
• Good knowledge of A/B testing, digital research and measurement or skilled and eager to quickly upskill in these areas
• Strong ability to develop influential and collaborative relationships with the key stakeholders and the team
• Must have a passion for qualitative and quantitative data and developing ‘themes’ and ‘main hypotheses’ that can be understood at the most senior levels
• Excellent communication & negotiation skills, comfortable presenting complex topics to stakeholders at various organizational levels both in person and remotely
• Fluent English, both verbally and written

• Support/facilitate discovery process with a cross-functional team consisting of a product owner, UX design, tech lead and supporting colleagues from analytics, user research and operations.
• Partner with business stakeholders to identify key consumer problems and opportunities and distill the right strategical themes which will drive the business forward.
• Collaborate with internal analytical counterparts to understand and size opportunities, gather concrete insights and create target audiences.
• Validate hypotheses that come out of the discovery process through AB-testing, user research or other means and guide the evaluation to gather learnings.
• Leverage best in class tools and processes for monitoring performance, refining audiences, and defining further optimization and personalization