Data, Analytics, and AI Lead - CPE AVN ITSS

Technology, Automation, and Management

  • Redstone Arsenal, Alabama
  • 7 days ago

    Highlights

    This position transforms enterprise data into trusted information and actionable insight, enabling decision-makers to identify risks, measure service performance, prioritize investments, and improve mission support. Mission Objectives - CPE AVN requires reliable data, integrated analytics, and secure digital capabilities to improve operational decisions, IT performance, governance, and mission outcomes.

    Numbers & Facts

    LocationRedstone Arsenal, Alabama

    Description

    Pending Contract Award

    Mission Objectives - CPE AVN requires reliable data, integrated analytics, and secure digital capabilities to improve operational decisions, IT performance, governance, and mission outcomes. The PWS requires enterprise-wide data and system solutions, performance metrics, and support for distributed or cloud environments.

    This position transforms enterprise data into trusted information and actionable insight, enabling decision-makers to identify risks, measure service performance, prioritize investments, and improve mission support. The Data, Analytics, and AI Lead shall:

    • Lead enterprise data architecture, data engineering, analytics, and business-intelligence activities.
    • Define data-management standards, data-quality controls, and governance processes.
    • Develop data pipelines, models, dashboards, reports, and analytical products.
    • Support portfolio management, performance metrics, resource planning, and service analytics.
    • Coordinate data integration across on-premises, cloud, development, test, and production environments.
    • Support predictive analytics, AI-enabled automation, and responsible AI implementation.
    • Establish data-security, access-control, privacy, and records-management practices.
    • Support digital-engineering and model-based systems engineering activities.
    • Translate stakeholder requirements into data products and technical specifications.
    • Collaborate with cyber, cloud, application, and business teams to ensure secure data use.
    • Support TD-specific development, modernization, and analytics requirements.
     

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