Vice President of Data & Analytics
Job in
Dayton, Montgomery County, Ohio, 45444, USA
Listed on 2026-01-14
Listing for:
Insight Global
Full Time
position Listed on 2026-01-14
Job specializations:
-
IT/Tech
Data Analyst, Data Science Manager, Business Systems/ Tech Analyst, Data Engineer
Job Description & How to Apply Below
This range is provided by Insight Global. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range$/yr - $/yr
Location: Beavercreek, OH
Employment Type: Direct Hire
Salary Range: $210K–$310K
About the RoleWe are seeking a Vice President of Data & Analytics to lead a transformative, enterprise-wide data strategy. This executive will build and scale a high‑performing data and analytics function, modernize our roadmap, and deliver actionable insights that drive growth and innovation.
Key Responsibilities- Strategic Leadership: Define and execute enterprise-wide data and analytics initiatives aligned with organizational priorities.
- Data Infrastructure & Governance: Oversee design and implementation of data platforms, pipelines, and governance frameworks.
- Insights Delivery: Develop executive dashboards, predictive analytics, and reporting to support decision‑making.
- Team Development: Recruit and mentor a high‑performing data and analytics team.
- Stakeholder Engagement: Partner with senior leadership to embed data into business decisions.
- Innovation: Introduce AI/ML tools and methodologies to transform organizational data use.
- Vendor Management: Source, evaluate, and negotiate with vendors to ensure quality and compliance.
- 15+ years in data analytics or data science, including 5+ years in senior leadership.
- Proven success in building and scaling data teams and driving organizational transformation.
- Proficiency with BI tools (Power BI, Tableau).
- Knowledge of data governance, compliance, and risk frameworks.
- Bachelor’s degree in Economics, Statistics, Mathematics, Computer Science, or related field.
- Advanced degree (MS in Analytics, Statistics, or related discipline).
- Familiarity with AI/ML technologies and their business applications.
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