The Role

As the Vice President of Data, you will spearhead our Analytics, Data Science and Machine Learning, and Experimentation efforts. You will play a pivotal role in shaping our data strategy and ensuring we leverage our data assets to their full potential to drive growth and competitive advantage. This could include developing a hyper-personalized experience in our mobile app leveraging first party data to developing a sophisticated system for bidding across our marketing channels to buy the right audience at the right time to finding opportunities to automate tasks that make our employees more productive.

Key Responsibilities

Strategy & Leadership: Develop and execute a comprehensive data strategy that aligns with the company's objectives. Lead and expand a team of data professionals, fostering a culture of excellence and continuous learning. Data Science & Machine Learning: Oversee the development and deployment of advanced data science and machine learning models to solve complex business challenges, improve customer experiences, and drive innovation. Analytics & Insights: Lead the analytics function to deliver actionable insights and recommendations that inform strategic decisions and operational improvements across the business. Experimentation: Champion a test-and-learn culture by overseeing the experimentation framework and processes, ensuring rigorous evaluation of new ideas and initiatives. Data Governance & Quality: Establish and maintain robust data governance practices and standards to ensure data quality, privacy, and security compliance. Stakeholder Engagement: Work closely with senior leadership and cross-functional teams to identify opportunities for leveraging data, ensuring data initiatives are aligned with business priorities. Innovation & Trends: Stay abreast of industry trends and technological advancements in data analytics, machine learning, and artificial intelligence, identifying opportunities for adoption and investment.

What We’re Looking For

20+ years experience in data roles; some e-commerce or marketplace experience preferred Strong commercial acumen and ability to apply technological advancements to real business problems Proven experience in a senior data leadership role, with a strong track record of developing and executing data strategies that have driven significant business impact at a strong product company. Extensive expertise in data science, machine learning, analytics, and experimentation methodologies. Leadership qualities with experience in building, mentoring, and leading high-performing data teams. Excellent stakeholder management and communication skills, with the ability to translate complex data concepts into actionable business insights. Strong understanding of data systems, architecture, and ML ops, with the ability to oversee the implementation and management of scalable data and machine learning pipelines. Strong understanding of data governance, privacy, and regulatory requirements relevant to the US, UK and EMEA. A forward-thinker, with a passion for staying ahead of data trends and technologies. Relevant advanced degree in Computer Science, Statistics, Mathematics, or a related field.

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