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VP of Analytics, Insight, and Data Products

Job in Akron, Summit County, Ohio, 44329, USA
Listing for: Goodyear
Full Time position
Listed on 2026-07-20
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems & Technology Analysis, Data Mining
Salary/Wage Range or Industry Benchmark: 230000 - 350000 USD Yearly USD 230000.00 350000.00 YEAR
Job Description & How to Apply Below
The Vice President of Analytics, Insight, and Data Products will be responsible for the creation of high-value data and actionable insights as well as the deployment of diagnostic and predictive analytical approaches (incl. Mathematical Models, Machine Learning, Artificial Intelligence). This role will inform product strategy, sales and operations, marketing, and other business decisions that drive results to achieve the targets of Goodyear’s Plan.

The successful candidate will have a proven track record in data and analytics leadership, a deep understanding of advanced data and analytics techniques, and the ability to foster a data-driven culture across the organization.

Job Duties / Responsibilities may include, but are not limited to:

Data and Platform Oversight Data

Infrastructure: Lead the design and implementation of robust data infrastructure to support analytics and business intelligence

Database Engineering:
Manage database engineering efforts to optimize data storage and retrieval

Data Warehousing:
Ensure effective data warehousing solutions that support efficient data management and reporting

High-Value Data and Actionable Insights Creation:
Drive the creation of high-value assets that support strategic decision-making

Partner cross-functionally with the Information Technology and Digital Organization Consumer and Customer Analytics and Insights Customer Data Platforms:
Develop and manage customer data platforms to capture and analyze customer behavior and preferences

Consumer Segmentation:
Oversee consumer segmentation efforts to identify and target key audience segments

Trend Identification:
Lead efforts to identify consumer trends and behaviors to inform product development and marketing strategies

Target Audience Development:
Develop and refine target audience profiles to enhance marketing effectiveness

Propensity Modelling:
Leverage to predict customer behavior in the purchase funnel (incl. purchase intent) and optimize marketing efforts

First Party Custom Research:
Conduct and oversee first-party custom research to gather unique consumer insights

Customer Insights:
Translate data into actionable customer insights to drive business growth and customer satisfaction

Marketing Analytics and Insights Website Analytics:
Oversee website analytics to optimize online user experience and engagement

Marketing Mix Modelling:
Develop and implement marketing mix models to evaluate and optimize marketing investments

Predictive Analytics:
Utilize predictive analytics to forecast marketing outcomes and inform strategy

Advanced Marketing Attribution:
Lead advanced marketing attribution efforts to accurately measure the impact of marketing activities

Other Marketing Analytics:
Support various marketing analytics initiatives to enhance marketing performance and ROIBusiness Analytics and Insights:

Industry Sizing and Trends:
Characterize the tire industry and growth opportunities

Commercial Performance:
Analyze commercial performance data to identify opportunities for growth and improvement

Brand Analytics:
Define Brand equity and strength

Network Analytics:
Oversee network analytics to optimize distribution and operational efficiency

Product Analytics:
Lead product analytics efforts to inform product development and lifecycle management

Pricing Analytics:
Utilize pricing analytics to develop competitive pricing strategies

Competitive Analysis:
Conduct competitive analysis to inform strategic planning and positioningSWOT Analysis:
Perform SWOT analysis to identify strengths, weaknesses, opportunities, and threats

Other Business Analytics:
Support a wide range of business analytics initiatives to drive strategic decision-making

Enterprise Analytics and Insights Manufacturing Analytics:
Oversee manufacturing analytics to optimize production processes and improve efficiency

Workforce Analytics:
Lead workforce analytics to inform talent management and operational planning

Operational Analytics:
Drive operational analytics to enhance business processes and performance

Financial Analytics:
Utilize financial analytics to support budgeting, forecasting, and financial planning

Other Operational Analytics:
Support various…
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