R&D Data & Systems Integration Consultant

R&D Data & Systems Integration Consultant

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:

• 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.
• 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.

• Act as a system business owner or subject matter expert for key R&D platforms—helping 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:

• Bachelor’s or Master’s 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.

• 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.

• 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.

• 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.

Seniority level: Not Applicable

Employment type: Contract

Job function: Information Technology, Manufacturing, and Other

Industries: Personal Care Product Manufacturing and Retail Health and Personal Care Products