Job Description The largest footwear retailer headquartered in Beaverton, OR is hiring for a Digital Product Manager to join their team. This role will be partnering closely with researchers, data engineers, analysts, and platform partners to develop and deliver advanced digital concepts and solutions for data related workflows. This role defines data requirements, maps and optimizes research workflows, and ensures that the end‑to‑end data ecosystem—from collection through analysis‑ready outputs—supports scalable, high‑quality scientific work. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements - Bachelor’s or Master’s in Engineering, Data Science, Kinesiology/Biomechanics, Computer Science, Human Performance, or related field. - 10+ years of experience in research data workflows, digital product management, or data platform technical program management. - Proven ability to map complex processes and produce clear technical documentation. - Experience partnering with data engineers, analysts, or data platform teams. - Strong understanding of metadata standards, data quality methods, and version‑control practices. - Excellent communication skills across technical and non‑technical teams. - Familiarity with sensor‑based research (motion capture, IMU, EMG, force plates) and timeseries data. - Knowledge of biomechanics workflows (kinematics, kinetics, filtering, inverse dynamics) or markerless motion capture. - Experience in innovation labs, applied sports science, or product creation environments. - Comfort interpreting Python, MATLAB, or R analysis logic. - Experience with LIMS/ELN systems or structured research‑data platforms. - Background creating SOPs, data contracts, and process maps. -Strong technical literacy in device design, hardware-software integrations and digital ecosystems