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Responsibilities • Lead the design and implementation of robust data infrastructure to support analytics and business intelligence • Manage database engineering efforts to optimize data storage and retrieval • Ensure effective data warehousing solutions that support efficient data management and reporting • Drive the creation of high-value assets that support strategic decision-making • Develop and manage customer data platforms to capture and analyze customer behavior and preferences • Oversee consumer segmentation efforts to identify and target key audience segments • Lead efforts to identify consumer trends and behaviors to inform product development and marketing strategies • Develop and refine target audience profiles to enhance marketing effectiveness • Leverage propensity modelling to predict customer behavior in the purchase funnel and optimize marketing efforts • Conduct and oversee first-party custom research to gather unique consumer insights • Translate data into actionable customer insights to drive business growth and customer satisfaction • Oversee website analytics to optimize online user experience and engagement • Develop and implement marketing mix models to evaluate and optimize marketing investments • Utilize predictive analytics to forecast marketing outcomes and inform strategy • Lead advanced marketing attribution efforts to accurately measure the impact of marketing activities • Analyze commercial performance data to identify opportunities for growth and improvement • Define brand equity and strength • Oversee network analytics to optimize distribution and operational efficiency • Lead product analytics efforts to inform product development and lifecycle management • Utilize financial analytics to support budgeting, forecasting, and financial planning Requirements • Bachelor’s degree in Business Administration, Applied Economics, Data Engineering, Data Science, Mathematics, or related field; Advanced Degree Preferred • Minimum of 10 years of experience in data, analytics, and insights, with experience leading large, multi-functional teams • Proven track record of developing and implementing successful data and analytics strategies in a global organization • Experience in the manufacturing or automotive industry is a plus • Expertise in advanced analytics, data science, machine learning, and AI • Proficiency with analytics tools and platforms (e.g., Python, R, SQL, Tableau, Power BI) • Demonstrated ability using Monte Carlo simulations, Real Options, Simulations leveraging a Digital Twin, Causal inference, Bayesian Decision Analysis • Strong understanding of data management, data governance, and data architecture • Exceptional leadership and team management capabilities • Ability to influence and collaborate with senior executives and cross-functional teams • Strong problem-solving skills and a strategic mindset • Excellent verbal and written communication skills • Ability to present complex analytical concepts to non-technical stakeholders Core Competencies Demonstrates expertise in data infrastructure design, advanced analytics, and customer data platform management to drive strategic decision-making and enhance marketing effectiveness.
Proven ability to lead multi-functional teams and translate complex data insights into actionable strategies for business growth.
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