R&D Data

We are seeking an experienced R&D Data & System Integration Consultant (full-time (40-hrs per week Mon-Fri, 12-month, 1099 contract position) to lead and support the integration of multiple R&D systems as part of a major organizational transformation. This role will focus on harmonizing data structures, mapping legacy systems to new platforms, and integrating specification management systems into a unified R&D environment. You will play a key role in defining integration strategies, designing scalable data pipelines, and transforming complex datasets into actionable insights through analytics and dashboards. This position is ideal for a hands-on professional who can work on a full-time, 1099 contract basis, and combines strong data engineering expertise, system integration acumen, and experience managing enterprise R&D tools as a system business owner. Key Responsibilities Include the Following: System Integration & Data Consolidation Lead the integration and harmonization of R&D systems (e.g., Specright, etc.) to create a unified data ecosystem. Perform detailed data mapping between legacy and target systems, ensuring alignment of structures, semantics, and governance standards. Partner with R&D, Master Data, IT, and business stakeholders to define integration architecture, workflows, and interface requirements. Oversee the migration and validation of data, ensuring consistency, completeness, and traceability across systems. Analytics & Visualization Develop and maintain interactive dashboards and reports in Power BI and/or Tableau to track integration progress, data quality, and key R&D performance metrics. Translate technical and operational data into actionable business insights for R&D leadership and cross-functional teams. Governance, Documentation & Business Ownership Act as a system business owner or subject matter expert for key R&D platformshelping shape governance, user requirements, and roadmap priorities. Document data mappings, transformation logic, and system relationships in alignment with organizational standards. Support training, communication, and adoption for new and merged system environments. Qualifications Include the Following: Education: Bachelors or Masters degree in Data Engineering, Computer Science, Information Systems, or a related technical discipline. Background or experience in R&D, product development, or scientific data environments preferred. Experience: 5+ years of experience in data engineering, system integration, or data migration within R&D or manufacturing contexts. Proven experience in data mapping and system harmonization across multiple enterprise platforms. Hands-on experience with Specright or other specification management systems is highly desirable. Previous experience serving as a system business owner or functional lead for an enterprise platform preferred. Technical Skills: Proficiency in SQL, Python, and modern ETL/ELT tools (e.g., Azure Data Factory, Databricks, Talend, or similar). Expertise in Power BI and/or Tableau for data visualization and reporting. Understanding of API integrations, data modeling, and cloud-based architectures (Azure, AWS, or GCP). Familiarity with metadata management, data governance frameworks, and master data concepts. Soft Skills: Excellent communication and stakeholder engagement skills, able to bridge technical and business domains. Strong analytical mindset and problem-solving ability in complex data landscapes. Comfortable leading discussions with technical teams, vendors, and business leaders alike. Adaptable, proactive, and experienced in change-driven, fast-paced environments.