About

About Me
About Me

Hi I'mJamell Dacon

I'm A TechnicalProgram Manager

About

Accomplished Technical Program Manager and Assistant Professor of Computer Science at Morgan State University with a Ph.D. in Computer Science and an extensive background directing high-stakes technical programs, digital transformations, and data engineering workstreams. Proven track record leading cross-functional engineering and technical teams of 20+, and successfully executing a project and contract portfolio for federal agencies, enterprise clients, and big tech (including the U.S. Department of Defense, Google, NIH, and NSF). Expert at establishing rigorous program governance, managing operational risks, and translating complex architectural requirements into actionable roadmaps for executive, technical, and regulatory stakeholders.

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Who I Am

I bring clarity, insight, and strategic thinking to ambitious, complicated work. I turn broad goals into practical plans that help technical teams deliver value and solutions.

My work spans research, engineering, and consulting, from AI and data systems to federal and enterprise programs. I enjoy making technical ideas understandable and useful to the people who depend on them.

I approach problems with curiosity, rigor, and a collaborative mindset. My background in computer science and experience across academia, government, and industry help me focus on work with lasting value.

Services

Experience

Work History

Professional Experience

Experience

  1. Sep 2023 - Present
    Baltimore, MD

    Center for Equitable Artificial Intelligence and Machine Learning Systems (CEAMLS)

    Technical Project Manager & Assistant Professor

    • Portfolio & Contract Management: Oversee a technical program portfolio, managing engineering scope, budgets, milestone schedules, and multi-stakeholder communications across corporate and federal joint ventures.
    • Engineering Leadership: Direct a 20+ member cross-functional team of software developers, data engineers, and non-technical personnel, establishing standardized operational workflows and project validation gates to optimize milestone execution.
    • Executive Advisory: Deliver high-stakes technical briefings and strategic roadmaps to 100+ corporate, academic, and government executives, translating complex engineering initiatives into clear, actionable business decision points.
  2. May 2024 - Dec 2024
    Edgewood, MD

    U.S. Army DEVCOM Chemical Biological Center (CBC)

    Lead Data Scientist & Project Consultant – Defense & National Security

    • Client & Mission Delivery: Led the technical execution and validation of real-time threat detection architectures, tracking critical performance metrics and managing deliverables to meet strict timelines through high-stakes defense reviews.
    • Process Standardization: Authored and deployed a DoD-approved technical engineering handbook, standardizing cross-functional onboarding and technical delivery frameworks to streamline cross-agency engineering workflows.
  3. Oct 2022 - May 2023
    New York, NY

    Google Research

    Research Scientist & Lead Project Consultant– Perception Team

    • Enterprise-Scale Program Management: Directed the scheduling, pipeline deployment, and milestone delivery of a large-scale data integrity program spanning 1M+ hours of video data, managing a 5-step diagnostics engine that consistently outperformed project timelines.
    • Operational Optimization: Orchestrated iterative technical testing, QA gates, and sprint performance cycles, increasing program throughput by 200% and driving core optimization initiatives adopted by global engineering partners.
  4. May 2022 - Sep 2022
    Roswell, GA

    Kimberly-Clark Corporation

    Industrial Systems Reliability & Predictive Performance Scientist, Agile Analytics Team

    • Agile Sprint Delivery: Spearheaded an algorithmic analytics engine mapping supply-chain delivery risk within an accelerated two-week Agile sprint cycle, enabling rapid, data-driven operational decisions.
    • Risk Mitigation: Designed and deployed an automated, program-level risk monitoring and alerting framework that systematically reduced global supply-chain project delivery risk factors by 20%.
  5. May 2020 - Jul 2020
    Seattle, WA (Virtual)

    Amazon - Alexa

    Software Engineer

    • Enterprise-Scale Data Warehouse Architecture: Lead the design, database architecture, and implementation of a centralized, secure data warehouse.

Education

Academic Background

Education

Education

  1. 2023

    Ph.D., Computer Science

    Michigan State University

  1. 2020

    M.S., Computer Science

    Michigan State University

  1. 2018

    B.S., Mathematics

    City University of New York - Medgar Evers College

Favorite Quotes

Words to Live By

Favorite Quotes

Quotes