Joshua Seideman, Ph.D.
Product Manager
josh.seideman@me.com | seidemanphd.com | LinkedIn
Product Manager with 5+ years of experience driving roadmaps, prioritization, and delivery across aportfolio of data analytics products, including AI-powered solutions with LLM integration and semanticsearch. Manages project managers and product owners across concurrent initiatives. Combines AI-assisteddevelopment with hands-on coding to accelerate prototyping and resolve technical blockers. PMP-certified.
Work Experience
Deloitte Consulting
09/2021 – Present
Manager, Product Management
- Owned product roadmap and drove product requirements for a portfolio of 30+ data analytics products, prioritizing features and release timelines based on user needs and capacity
- Oversaw delivery across concurrent workstreams, managing project managers and product owners to align priorities, timelines, and dependencies
- Drove execution for key initiatives by leading cross-functional teams (engineering, data science, design), defining scope and timelines, and ensuring on-time delivery
- Leveraged AI-assisted coding (OpenAI Codex; ChatGPT) to prototype solutions, resolve technical blockers, and accelerate development timelines
- Led delivery of an AI-enabled analytics product that used semantic search and LLM-based classification to evaluate scientific documents against user-defined statements (Azure, PostgreSQL, React)
- Delivered an ML-based classification tool that recommends scientific codes for grant applications, achieving over 85% accuracy, recall, and precision and reducing manual curation effort
- Led development of a data anomaly detection product, defining requirements and guiding system design to monitor data quality and surface KPIs through dashboard (Tableau, Power BI)
Lexical Intelligence
08/2020 – 09/2021
Scientific Portfolio Analyst
- Conducted user research to define requirements and scope for web-based analytics products
- Served as project manager for select initiatives, coordinating analysts and ensuring timely delivery
- Contributed to a publicly published strategic plan for the National Institutes of Health (NIH) Office of Portfolio Analysis, authoring a section on measuring data and resource sharing
- Wrote custom Python code to clean, analyze, visualize, and statistically summarize large datasets
- Delivered analytical products (slide decks, datasets) to support portfolio analysis and decision-making
Wake Forest Graduate School
08/2014 – 07/2020
Graduate Research Assistant (PhD)
- Designed and conducted cognitive and computational neuroscience experiments
- Wrote federally-funded research grant proposal – defined scope, methods, KPIs, timeline, and budget
- Designed and developed real-time research software enabling multimodal data acquisition, interactive visual interfaces, and automated experimental workflows (MATLAB)
- Gathered, analyzed, and modeled behavioral and neural data (MATLAB)
- Applied advanced statistical methods – bootstrap, permutation test, linear regression, AUROC
- Wrote five first-author publications, including two in Nature Communications (pdf-1, pdf-2)
