Technical Project Manager (Government/Municipality) Yoh Silver Spring, MD Full Time

Kate

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Title: Technical Project Manager (Government/Municipality)
Location: Wash D.C. (will need to be on-site eventually, seeking local candidates)
Role Type: Full-Time

We are seeking a Technical Project Manager for a client of ours in the Government/Municipality space. Ideal candidates will have at least 8 years of strong Technical Project Management experience with knowledge of Enterprise Data Architecture, Big Data, ETL, Data Governance and Data Implementation.

Responsibilities:

  • Part of a smaller team managing all aspects of development and implementation of the project.
  • Act as single point of contact for client.
  • Provide technical expertise to enhance clients EDA (Enterprise Data Architecture) including recommendations and implementation of automation or other procedural improvements.
  • Increase accuracy and currency to reduce level of effort required to sustain the EDA.
  • Recommend and implement tools/capabilities which enhance end user comprehension of EDA including Documentation.
  • Enhance tools in response to data architecture needs.
  • Ensure availability of tools to end users.
  • Leverage data repositories for cost-benefit analysis.
  • Promote alignment with data management industry standards and best practices.
  • Plan, execute and measure improvement of data quality in specific project/program areas.
  • Responsible for keeping SOP's current and provide though/leadership to optimize procedures to maximize quality of Tools being used, Data, Processes, Procedures and End User Documentation.
Required Experience:

  • 8+ years of relevant experience with 4+ years full-lifecycle, software development project management experience.
  • Project Management Certification such as PMP.
  • Strong writing and presentation skills.
  • Expert knowledge in the design of transactional and dimensional data stores, as well as and data integration (ETL processes).
  • Expert knowledge in the creation of physical, conceptual and logical data models at both the system and enterprise level, using tools such as Erwin.
  • Working knowledge in design of Service-Oriented Architecture at the enterprise-level.
  • Experience in implementing and supporting data governance tools.
  • Experience in design of Big Data Environments which utilize technologies such as distributed processing, graph databases, AI, etc.
  • Experience in National Information Exchange Model (NIEM)-based data structures and architectures, as well as experience in the creation of NIEM Domains.
  • Experience in implementing a formal data quality improvement program, including data profiling, monitoring, and reporting.
  • Experience in implementing automated testing.
  • Experience in implementing DevOps or DevSecOps.
  • Expert knowledge in implementing agile methodologies such as Scrum or Kanban on a project team.

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Recommended Skills​

Data Quality

Big Data

Data Integration

Data Profiling

Data Architecture

Data Governance
 
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