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Director of Data Analytics and AI
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Trelleborg Medical Solutions
Minneapolis, MN (In Person)
$180,000 Salary, Full-Time
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Job Description
Director of Data Analytics and AI Trelleborg Medical Solutions - 3.3 Minneapolis, MN Job Details $160,000 - $200,000 a year 4 hours ago Qualifications English Digital transformation Data Architecture Design (Architecture design skills) AI Master data management Full Job Description Trelleborg is a world leader in engineered polymer solutions that protect critical applications in demanding environments. Its innovative solutions accelerate performance for customers in a sustainable way. And we are where we are because our talents brought us here. In 2023, the Trelleborg Group had annual sales of approximately SEK 34 billion in around 40 countries. The Group comprises three business areas: Trelleborg Industrial Solutions, Trelleborg Medical Solutions and Trelleborg Sealing Solutions. The Trelleborg share has been listed on the Stock Exchange since 1964 and is listed on Nasdaq Stockholm, Large Cap. [www.trelleborg.com] (https://eur02.safelinks.protection.outlook.com/?url=http://www.trelleborg.com/&data=05%7c01%7cmaria.rifaut%40trelleborg.com%7c3b757bb991bb411d827708dba3044535%7c0f86117777224f068db93384e5321a9f%7c0%7c0%7c638283010950261273%7cUnknown%7cTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7c3000%7c%7c%7c&sdata=8TeIdPxJaN2pjtmrQi19WoTwOZDKNZxQKFP0DilDVgc%3D&reserved=0) The Director of Data Analytics & AI is accountable for defining and executing the enterprise-wide data, digital, and artificial intelligence strategy across Trelleborg Medical Solutions. The role builds on existing data governance foundations to establish a scalable data ecosystem enabling advanced analytics, AI-driven insights, and digital transformation. Salary Range $160-200k The base pay range is exclusive of fringe benefits or other types of compensation. Final offered salary will be determined based on a range of factors including education, experience, geographic location and competencies 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