What are the responsibilities and job description for the Senior Director – Data Analytics & AI position at Venteon?
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.