Wallapop is a Barcelona based scale-up driven by the purpose to empower people to embrace a more conscious and human way of consumption. We believe in a world where collaborative economy is mainstream. This is what drives us.Wallapop operates in Spain, Italy and Portugal, offering a catalogue of several hundreds of millions of products and services. Powered by technical innovation and continuous improvement, we bring together the scale & trust of classifieds with the marketplace's convenience & reach. Our mission is to enable a connected trade ecosystem, making 2nd-hand the norm through smart use of technology.Backed by top investors such as Accel , Insight Partners & Naver Corp we bring our total valuation to 806 million EUR and are embarking on our international journey with the aim to become the world's best unique goods trading platform.The ChallengeAs the VP of data, you'll lead our talented team and data strategy, and help us delve deeply into understanding our users' behaviors, establishing reliable metrics, and tracking product enhancements to improve user experiences.At Wallapop we process daily over 4TB of data, consisting of around 1B data points, we leverage a modern data stack, including mParticle, Optimizely, Fivetran, DBT, DataHub, MonteCarlo, Airflow, Looker, Amplitude.. All within the AWS Cloud (Redshift, SageMaker) to serve over 200 data users across the organization (from product, business, and tech) powering over 1k analytical dashboards and tens of data and ML product features.Reporting directly to the Chief Product Officer, you will develop people, cultivate strong partnerships with Product, Business, and Technology leaders, and help infuse every decision with the right blend of relevant evidence, metrics, insights, and data. Your team will employ a variety of methods to gain insights into user behavior, evaluate potential product initiatives, and generate innovative ideas alongside the Product team.What You Will DoStrategic Vision and Leadership:Architect and reinforce a strategic vision for directing multiple data cohorts, comprising approximately 30 professionals, spanning various sectors including Insights (User Research, Product Analytics), Machine Learning (Data Scientists and ML Engineers), and Data Platform (Data Engineers).Prioritize scalability, reliability, and effectiveness in formulating and executing a comprehensive data strategy harmonized with Wallapop's business objectives.Cutting-Edge Data Solutions:Lead the development and execution of a resilient data infrastructure for distilling meaningful insights driving strategic decision-making.Drive continuous improvement initiatives to enhance the efficiency and effectiveness of data processes.Champion the adoption of state-of-the-art technologies and methodologies in user research, product analytics, data architecture, machine learning, experimentation, AI technologies, data platform, and data modeling concepts.Collaboration and Integration:Lead collaborative methodologies with technical and non-technical teams throughout the organization to comprehend data requisites and synchronize product evolution, analytics, data science, and ML with company goals.Pioneer initiatives for continual enhancement to augment the efficiency and efficacy of data procedures, establishing benchmarks for the output delivered by the Data team, optimizing for expeditious, efficient, and meticulous execution.Innovation and Best Practices:Create and promote a culture of continuous improvement, and ways of working to elevate the team's impact across the organizationAdvocate for best practices in data, articulating insights and recommendations to key decision-makers to plan and execute impactful product initiatives.What We're Looking ForTechnical Proficiency:Experience as a people manager in a strong product insights and data organization, ideally with experience building and shaping teams.Proficiency in technical skills to mentor team members in appropriate methodologies, communication styles, and collaboration techniques.Although not required to have comprehensive expertise in every area, having a broad understanding of methodologies such as human behavior analysis, statistical analysis, machine learning, survey methodology, qualitative data collection methods, experimental design, deployment and analysis of AB tests, experimental design, setting instrumentation, data processing and data governance practices would be a plus.Leadership and Effective Collaboration and Communication:Adaptable mindset equipped with the ability to make tough decisions through ambiguity and uncertainty in a dynamic and fast-paced.Comfortable going deep when needed and rolling up the sleeves if required.You excel at managing teams in product insights and data organizations, fostering team synergy, collaboration and a strong ability to upskill people to achieve strategic objectives.Expertise in Personalization-Driven Products:Proven experience working on products with a heavy emphasis on personalization is highly valued.Do note that all our jobs are Barcelona based. We work in a hybrid model , we offer a flexible work environment where regular office attendance is expected for which the frequency is determined at a team level.Wallapop is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees as we want Wallapop to be a place for everyone.We sponsor visa processes for international candidates when applicable and provide legal & admin support along the process combined with a competitive relocation package.Additionally to the opportunity to contribute to an agile product set up and work together towards achieving our meaningful mission, we offer the following Perks & Benefits :Competitive phantom shares package for all employeesGenerous individual learning budget of 2k per yearGroup and individual English, Catalan & Spanish lessons as part of our working dayPrivate Health Insurance with CignaFlexible working hours + short FridaysFlexible remuneration to deduct from gross salary (kindergarten/food/transport check)Gym & Wellness plan, including physiotherapist in the officeGenerous referral Program & Charity DonationBonus for weddings & newbornsMonthly plan for free shipping, bumps & home-pick-up on our servicesWork anniversary Gifts and Birthday SurprisesContribution towards your WIFI in your monthly payrollOne-off payment based on compensation package to go towards setting up your home officeRelocation package (monetary support and legal advice) and visa sponsorship, if applicable26 holidays per yearTOP hardware of your choice (latest Apple or Windows)What does the hiring process for this position look like? **Please, note that all interviews take place remotely over hangouts.**Intro Call - run by talent acquisition, focus on providing more information about the role and the company as well as going over your experience, motivation, and expectations. This usually takes 45-60 minutes.Expertise & Leadership Interview - run by the hiring team, focus on the required core skills and the ability to deliver in a given context. This usually takes 60-90 minutes.Case Study Submission - you will be assigned a task to submit within 5 up to 7 days where you will be able to showcase your expertise / technical skills required for the role.Stakeholder Interview - run by relevant stakeholders reflecting the reality of the context of the role, focus on the ability to collaborate & deliver in a cross-functional set-up. This usually takes 60 minutes.Culture Interview - run by culture interviewers, focus on adherence to Wallapop's purpose and business proposition. This usually takes 60 minutes.Offer - should you be the right candidate, your offer will be discussed over a call with talent acquisition and will then be confirmed in writing."I have read and accepted that my data will be processed for the purpose of managing my job application at WALLAPOP, S.L., by clicking on the checkbox, in accordance with the Privacy Policy: https://drive.google.com/file/d/1rmuviYl2Xy5s9NfsVpcrSKcYvM31U8oz/view *Please selectDo you need visa sponsorship to work in Spain? *--Do you have experience leading big data areas? *--What is your experience leading data teams? How many people did you lead and what roles? *What is your experience in methodologies such as human behavior analysis, statistical analysis, machine learning, survey methodologies or others? *#J-18808-Ljbffr
