R&D- Digital Knowledge Transformation Manager

This position is an excellent opportunity to contribute to the digital transformation initiatives of the Sherwin-Williams General Industrial business unit. The role is responsible for leading the organization transformation and structuring of R&D technical knowledge and data into standardized reusable formats that support analytics and AI enablement.

Working closely with R&D teams subject matter experts enterprise digital teams and technology partners this position develops and implements practical data capture processes drives adoption of AI-enabled solutions through user feedback and requirements and ensures technical information is accessible accurate and usable. The successful candidate will be highly organized collaborative and skilled at simplifying complex information while influencing knowledge management and digital transformation initiatives across the organization.

This position will serve as a key resource in establishing and governing structured reusable technical information assets that support improved decision-making operational efficiency AI capabilities and alignment with broader enterprise digital transformation objectives.

Job duties include contact with other employees and access confidential and proprietary information and/or other items of value and such access may be supervised or unsupervised. The Company therefore has determined that a review of criminal history is necessary to protect the business and its operations and reputation and is necessary to protect the safety of the Companys staff employees and business relationships.

Lead the organization structuring and transformation of technical documents experimental findings test results and historical R&D knowledge into standardized machine-readable formats. Identify extract cleanse validate and maintain data from structured and unstructured sources including reports PDFs spreadsheets presentations and databases.
Develop implement and govern practical processes that improve the capture quality accessibility and long-term usability of R&D data while minimizing administrative burden on technical teams.
Establish and maintain technical knowledge repositories metadata taxonomies and data standards to improve searchability reuse AI-driven information retrieval and knowledge management capabilities.
Lead engagement with subject matter experts and cross-functional stakeholders to capture critical technical knowledge and convert it into reusable organizational assets.
Partner with R&D Digital IT and AI/ML teams to identify develop test and improve AI-enabled solutions. Define business requirements evaluate outputs and provide technical leadership to ensure solutions effectively support R&D workflows and business needs.
Support retrieval-augmented generation (RAG) predictive modeling and other AI initiatives by ensuring technical data is accurate complete contextualized accessible and suitable for AI applications.
Lead efforts to identify data quality issues process gaps and opportunities for automation and continuous improvement and work with stakeholders to implement sustainable solutions.
Utilize enterprise systems databases AI-assisted tools Excel Power Query and related technologies to consolidate transform manage and migrate technical data and legacy information.
Develop documentation training materials and user guidance that promote effective knowledge management data capture practices and adoption of AI-enabled solutions. Use feedback and performance metrics to drive continuous improvement and maximize business value and user adoption.

This is not a remote position and will sit on site in Minneapolis.

BASIC QUALIFICATIONS
Must be legally authorized to work in the country of employment without needing sponsorship for employment work visa status now or in the future (e.g. OPT CPT H1B EB-1etc.)
Bachelors degree in a Science Technology Engineering or Math field.
Must be at least 18 years of age.
5 years of experience working with technical data knowledge management data transformation document management process improvement or related analytical functions.
2 years of experience organizing cleansing validating and standardizing data from multiple structured and unstructured sources
Experience leading cross-functional initiatives involving process design stakeholder engagement requirements gathering and implementation of data knowledge management or digital solutions.
Working knowledge of data quality metadata taxonomy and information management principles
Exposure to AI enabled tools machine learning applications knowledge retrieval systems or digital transformation initiatives
Proficient in Microsoft office applications including excel word PowerPoint and related collaboration tools

PREFERRED QUALIFICATIONS
Strong data organization analytical and problem-solving skills.
Familiarity with AI-enabled tools knowledge management systems or data management platforms preferred.
Strong proficiency in Excel and other data management tools.
Strong background in Product Vision Business Objects Excel Oracle (OBIEE) and Tableau

Travel Requirements: 10%

This position is not eligible for sponsorship for work authorization now or in the future including conversion to H-1B visa.