Job Mission The Data Science Operations Manager / Lead Product Developer will be responsible for leading, scaling, and optimizing the Data Science & Operations vertical, ensuring technical excellence and strategic alignment with the business. They will serve as the right-hand person to the founding partner and platform creator, acting as a critical bridge between business, technology, and customers, and leading and supporting a team representing approximately 30% of the organization, serving as the “product and project guardian”. The team comprises direct reports and peers. **Key Responsibilities:** Leadership & Management * Lead and develop a multidisciplinary team (Data Scientist Consultants & Analysts, hybrid profiles). * Design and execute the area’s growth strategy, aligned with company objectives. * Support partners in making strategic decisions related to the platform and technological offerings. * Foster a high-performance, innovative, and ownership-driven culture within the team. * Attract, develop, and retain key talent, defining career paths and professional growth plans. Data Science & Technology * Supervise and enhance the RGM (Revenue Growth Management) tool and demand forecasting models, ensuring robustness, scalability, and accuracy. * Define coding quality standards, best practices, and analytical architecture, with primary focus on Python. * Coordinate the evolution of predictive models (forecasting, optimization, elasticities, etc.). * Ensure proper industrialization of models (MLOps, monitoring, performance). * Prioritize the technical roadmap based on business and customer impact. * Assess data quality, understand potential limitations, propose solutions or alternatives to such limitations, and define an appropriate scope. * Conduct exploratory analyses to detect anomalies and patterns in RGM, Marketing Analytics, Logistics, CLM/CRM Analytics and/or Risk Analytics. Business & Customer * Translate business needs into actionable analytical solutions. * Actively participate in relationships with strategic clients, providing both technical and business insight. * Evaluate opportunities for improvement and new data-driven products for the consumer goods and retail sectors. * Support problem resolution, decompose problems, develop hypotheses, and formulate practical recommendations based on data, analysis, and analytical models under the supervision of consultants and managers. * Ensure insights generated translate into real, measurable decisions and actions. * Visualize and present data effectively to non-technical clients, preparing and delivering workshops. **Requirements:** Experience * +8 years of experience in Data Science / Analytics, with at least 3–5 years leading teams. * Solid experience in consulting environments or data-driven companies. * Strong technical background with strategic business vision. * Experience working with pricing or forecasting models (experience in consumer goods or retail is highly valued). Technical Knowledge * Advanced proficiency in Python and R (pandas, numpy, scikit-learn, statsmodels, etc.), SQL, and data visualization tools such as Tableau or Power BI. Knowledge of R-Shiny and Python-Dash is a plus. * Experience designing and supervising production-ready predictive models. * Knowledge of data architecture and MLOps (desirable). * Ability to review code and define technical standards. * Degree in a quantitative field (e.g., engineering, mathematics, physics, etc.). Key Competencies * Inspirational leadership and ability to manage growing teams. * Strategic thinking and results orientation. * Strong communication skills bridging business and technology. * Entrepreneurial, hands-on mindset. * Ability to operate in highly ambiguous and rapidly scaling environments. * Passion for continuous learning and collaboration within diverse teams. What We Offer * A strategic, high-impact role within the company. * Opportunity to build and scale one of the business’s core areas. * Involvement in projects with very high impact on our clients’ businesses. * Direct interaction with partners and the founding partner, and participation in strategic decision-making. * A flexible, dynamic, innovation-oriented environment. * A professional development plan aligned with the company’s growth. Monstarlab Spain SL is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other characteristic protected by law. Additionally, we carefully consider caregiving responsibilities or other requirements that may affect work schedule commitments.