Director of Data Analytics and AI
Trelleborg · Plymouth, Minnesota, United States ·
- Category
- Data analytics
- Experience
- 10+ years
aianalyticsdata-governancedata-qualitydata-sciencegdpritarmaster-data-managementstakeholder-management
Tasks and Responsibilities
- Develop and execute enterprise-wide data, digital, and AI strategy
- Establish and enforce data governance policies, standards, and frameworks
- Design and implement master data architecture, models, and hierarchies
- Ensure master data accuracy and consistency across customer, product, vendor, and operational domains
- Define and manage processes for creation and maintenance of master data
- Lead digital transformation initiatives including AI, analytics, and data platforms
- Identify opportunities for AI-driven optimization in operations and decision-making
- Develop reporting standards, dashboards, and advanced analytics capabilities
- Monitor emerging technologies and implement innovative digital solutions
- Establish AI governance including model lifecycle and risk management
- Lead, develop, and mentor global data and AI teams
- Collaborate with cross-functional stakeholders to align initiatives with business priorities
- Manage Data & AI budget and ensure cost efficiency and ROI
- Conduct data quality reviews, audits, and continuous improvement initiatives
Education and Experience
- Degree in Computer Science, Data Science, Information Management, or related field
- 10+ years of relevant experience in data, analytics, or digital leadership roles
- Proven experience in data governance and master data management
- Strong experience in enterprise data architecture and analytics platforms
- Experience leading digital transformation and AI initiatives
- Experience in global / multi-site environments
- Knowledge of data privacy regulations (e.g., GDPR, ITAR)
- Fluent English (spoken and written)
Competencies
- Strategic thinking and strong business acumen
- Leadership and team development capability
- Strong communication and stakeholder management skills
- Advanced analytical and problem-solving skills
- Ability to interpret complex data and drive insights
- Financial and budget management capability
- Strong execution and results orientation
Key Performance Indicators
- Data quality and master data accuracy
- Adoption of governance frameworks
- ROI of Data & AI initiatives
- Improvement in reporting efficiency and time-to-insight
- Adoption of analytics tools
- Stakeholder satisfaction
Travel required during key transformation phases, domestic and international (estimated <20%)