Senior Director – Data Analytics & AI

Venteon is currently seeking a Senior Director of Data Analytics & AI to lead enterprise data strategy for a global manufacturing organization. This executive-level position will drive the organization's vision across Master Data Management (MDM), Data Governance, Advanced Analytics, and Artificial Intelligence, enabling business growth, operational excellence, and digital transformation.

Key Responsibilities
Define and execute enterprise-wide data, analytics, and AI strategies aligned with business objectives.
Develop and lead a multi-year roadmap encompassing MDM, data governance, analytics platforms, and AI/GenAI capabilities.
Establish and mature enterprise Master Data Management processes across key domains including Customer, Product, Supplier, Pricing, and Asset data.
Lead enterprise data governance initiatives including data quality, stewardship, lineage, metadata management, and compliance standards.
Oversee modern data architecture initiatives including data platforms, lakehouse environments, real-time integration, and scalable AI-ready ecosystems.
Drive the development and deployment of high-value analytics and AI solutions supporting commercial performance, forecasting, customer insights, predictive capabilities, and operational intelligence.
Partner closely with executive leadership, business stakeholders, engineering, and IT teams to identify and deliver data-driven business outcomes.
Build, mentor, and lead high-performing global teams across data engineering, analytics, governance, and data science disciplines.
Establish scalable operating models and best practices for delivering reusable data products and AI capabilities.

Qualifications
Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related discipline; advanced degree preferred.
12+ years of progressive leadership experience within enterprise data, analytics, MDM, and AI organizations.
Proven success leading enterprise-scale data transformation and Master Data Management initiatives.
Deep understanding of data governance, modern data architectures, and enterprise data platforms.
Experience delivering analytics and AI solutions that drive measurable business value.
Demonstrated success leading global teams and large-scale transformational programs.
Experience with MDM technologies, data quality frameworks, metadata management, and AI/ML platforms is highly preferred.
Manufacturing, industrial, aftermarket, or asset-intensive industry experience strongly preferred.
Executive presence with the ability to influence and collaborate across all levels of the organization.

What Success Looks Like
Improved enterprise data quality, governance, and consistency.
Increased adoption and measurable business impact from analytics and AI initiatives.
Accelerated delivery of scalable data products and AI capabilities.
Enhanced commercial performance, operational efficiency, and customer experience through data-driven decision making.