VP of Analytics, Insights, and Data Products

Role Overview

• 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.

Tech Stack

• Python
• SQL
• Tableau

Benefits

• Health insurance
• Retirement plans
• Paid time off