VP of Analytics, Insights, and Data Products

This is a fully remote position, open to applicants in Michigan.

📋 Description

• Lead the design and execution of a robust data infrastructure to enhance analytics and business intelligence.

• Oversee database engineering initiatives to improve data storage and retrieval efficiency.

• Ensure the implementation of effective data warehousing solutions that facilitate efficient data management and reporting.

• Drive the development of high-value assets that aid in strategic decision-making.

• Create and manage customer data platforms to capture and analyze consumer behavior and preferences.

• Supervise consumer segmentation efforts to identify and target key audience segments.

• Spearhead initiatives to recognize consumer trends and behaviors to guide product development and marketing strategies.

• Develop and refine target audience profiles to boost marketing effectiveness.

• Employ propensity modeling to forecast customer behavior in the purchase funnel and enhance marketing efforts.

• Conduct and oversee first-party custom research to generate unique consumer insights.

• Translate data into actionable customer insights to foster business growth and enhance customer satisfaction.

• Supervise website analytics to improve online user experience and engagement.

• Develop and implement marketing mix models to assess and optimize marketing investments.

• Utilize predictive analytics to anticipate marketing outcomes and inform strategic direction.

• Lead advanced marketing attribution initiatives to accurately assess the impact of marketing activities.

• Analyze commercial performance data to pinpoint opportunities for growth and improvement.

• Define brand equity and strength.

• Oversee network analytics to enhance distribution and operational efficiency.

• Lead product analytics initiatives to inform product development and lifecycle management.

• Apply financial analytics to assist in budgeting, forecasting, and financial planning.

⛳️ Requirements

• Bachelor’s degree in Business Administration, Applied Economics, Data Engineering, Data Science, Mathematics, or a related field; Advanced Degree Preferred.

• At least 10 years of experience in data, analytics, and insights, with a background in leading large, multi-functional teams.

• Proven success in developing and implementing effective data and analytics strategies within a global organization.

• Experience in the manufacturing or automotive industry is advantageous.

• 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 to utilize Monte Carlo simulations, Real Options, simulations leveraging a Digital Twin, causal inference, and Bayesian Decision Analysis.

• Strong understanding of data management, governance, and architecture.

• Exceptional leadership and team management skills.

• Ability to influence and collaborate effectively with senior executives and cross-functional teams.

• Strong problem-solving abilities and a strategic mindset.

• Excellent verbal and written communication skills.

• Capability to present complex analytical concepts to non-technical stakeholders.

🏝️ Benefits

• Health insurance

• Retirement plans

• Paid time off