Director Decision Science Nike London

• 2-minute read •
Job Description:
We are looking for an innovative and experienced expert in the synthesis and packaging of consumer analytics to join our Center of Excellence and Consumer Decision Science team and partner directly with our Central and Eastern Europe Brand Marketing leadership teams. You’ll be tasked with identifying opportunities to implement consumer knowledge to influence decision-making and to translate analytics and insights into action digitally focused business units. This position is based at our office in London.

The ideal candidate will have a history of developing creative and effective ways of integrating and sharing consumer knowledge and the vision and leadership skills to partner with key business stakeholders within Nike’s Global businesses and drive improved decision-making.

Key responsibilities:
Synthesizing and translating complex findings into curated, relevant, and useful deliverables
Developing and extending best practices in identifying critical business stakeholders, develop KPI reporting timing and cadence, and to evaluate the impact of analytics and insights
Working with senior executive clients to understand requirements and improve opportunities to drive knowledge into action
Implementing Consumer Knowledge capabilities to drive innovation across the business
Desired Skills and Experience
At least 8 years experience in a senior-level client services or decision science role in an applied analytics or quantitative marketing setting
A background in the production of applied analytics or customer research in the context of data-driven digital marketing, digital advertising technology, or digital commerce
Experience managing business relationships and process across multiple geographies
A history of excellence and innovation in synthesizing complex findings, data visualization and storytelling, and client presentation and partnerships
A good understanding of applied statistics including sampling approaches, causal modeling, time series analysis, and data mining techniques
Ability to manage a portfolio of large research projects with multiple business stakeholders in a fast moving setting with ambiguous requirements
Deep experience managing multiple business priorities and executive stakeholders in an ambiguous and rapidly growing organizational setting
Background in a related field such as statistics, econometrics, applied math, or behavioral sciences research
Deep experience with applying analytics to digital marketing, ecommerce, or digital product development
Advanced degree in a quantitative or research field a plus

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