Project Manager - Data Science
Job Description
Position Overview
Individual assists the NAVWAR Data Science Learning Program (DSLP) Program Manager by providing programmatic and administrative support services for the Data Science (DS), Artificial Intelligence (AI), and Machine Learning (ML) initiatives implemented under the DSLP. The role supports the subcontractor for creating Data Science training material and conducting training; scheduling training events; developing program metrics; and generating briefing materials for executive-level meetings.
Integrits Corporation complies with provisions of the EEO and ADA laws. Integrits Corporation is an equal opportunity employer and does not discriminate based on race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental disability, age, military status, marital status, domestic partner or civil union status, gender, medical condition, genetic information, or sexual orientation in accordance with applicable federal, state and local laws.
Key Responsibilities
- Maintain a Work Breakdown Structure (WBS) used for the DSLP program that defines project efforts and identifies associated resources and schedule.
- Maintain a DSLP Program Master Schedule and develop individual project schedules for activities within the Master Schedule as required.
- Generate and present program briefs to senior leadership summarizing project status, completed projects, upcoming initiatives, program challenges, and future opportunities.
- Collect and generate DSLP program performance metrics for the training program including promotional campaigns, course participation, student demographics, and feedback.
- Produce communication materials such as graphics, briefs, and videos to boost awareness and utilization of DS/AI/ML training opportunities.
- Prepare meeting announcements, agendas, minutes, and maintain action items for meetings, working groups, or teleconferences.
- Generate a Weekly Status Report detailing DS/AI/ML project progress, tasks completed, tasks remaining, and topics requiring Government support.
- Represent the DSLP training program by coordinating course announcements, student registration, and managing pre- and post-class interactions, as well as addressing technical issues during presentations.
- Coordinate instructors for scheduled classes and provide necessary course and student support.
- Oversee DSLP “incubator” projects by developing project plans, timelines, budgets, resource allocations, and risk management strategies to ensure projects remain on track.
- Maintain an archive of DSLP course materials, recordings, student records, and documentation for incubator projects.
- Monitor the development of new training material presented in virtual environments, in-person classrooms, and computer-based courses.
- Generate various documents and reports using Microsoft Office products including PowerPoint, Excel, and Word.
Required Qualifications
- Bachelor’s Degree (technical field).
- Five (5) years of program management experience, ideally including subcontract management.
- Working knowledge and experience with Data Science activities and methodologies.
- Experience working across and with Echelon II Navy commands (equivalent to large business corporate level).
- Must be a self-starter, capable of working effectively both independently and as part of a team with limited supervision.
- Excellent English communication skills, both verbal and written, with familiarity in standard Navy terminology.
- Proficient in Microsoft Office applications (Outlook, Word, PowerPoint, Excel, Teams) along with experience in MS Project and MS Power Apps (Power BI, Power Automate, etc.).
- Reports to an exempt Government DSLP Program Manager.
- Must successfully pass the required pre-employment drug screening.
- SECRET Security Clearance (required).
Preferred Qualifications
- Bachelor’s Degree in Data Science, Mathematics, Computer Science, or a related technical field.
- 10 years of Program Management experience, ideally including subcontract management.
- Three (3) years of experience with the data science lifecycle including problem definition/hypothesis formulation, data capture and preparation, and exploratory data analysis.
- Five (5) years of experience in statistics, probability, data engineering, feature engineering, predictive modeling, machine learning, classification, time series analysis, Python programming, and data visualization.
- Three (3) years’ experience with libraries and tools such as Python and/or R, Jupyter Notebooks, Databricks, RStudio, Pandas, and Numpy.
- Experience with artificial intelligence, including deep learning.
- Experience in using Waypoints/Cornerstone, Power BI, Power Automate, and Dataverse for Teams.
- Basic knowledge and understanding of Navy C5ISR systems.