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ML Research Operations Assistant
ML Research Operations AssistantOpenkyber • CA, United States
ML Research Operations Assistant

ML Research Operations Assistant

Openkyber • CA, United States
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Job Title & Location Position : Management Consultant

Type : Contract (Part time 20 hrs / week) / Onsite (2 days / week)

Location : San Francisco, CA

Need Locals Bachelor's Degree and 10 years of public sector experience in program or project oversight; providing analysis, research, and advising in the required functional area.

Project Overview

Engage with product, IT, and data teams to understand current data landscape. Evaluate existing architecture, metadata ownership, and data support models. Recommend improvements in data governance, platform maturity, and operational structure.

Key Responsibilities

  • Understand current state and how it relates to RAD's data roadmap and data reporting needs.
  • Engage with product, IT, and data stakeholders
  • Map end-user functionality
  • Review and document existing data flows, responsibilities, escalation paths, and support model.
  • Highlight areas for improvement in ownership and metadata.
  • Build Alignment Around Next Steps
  • Work with Operations Architect to translate findings into technical and organizational opportunities for RAD
  • Facilitate meetings focused on priorities and areas for improvement.
  • Lay groundwork for shared principles and long-term platform maturity

Deliverables

  • Discovery Brief
  • Analysis of how current architecture and practices impact data quality and trust
  • High-level recommendations for improvement, stewardship, and maintainability
  • Execution Roadmap Phase 1 : Tactical improvements, e.g, targeted refactors, ownership recommendations.
  • Phase 2+ : Structural evolution, e.g, improved metadata, clearer contracts, platform governance enhancements
  • Required Skills (Must-Have)

    Minimum Job-Specific Skills / Qualifications Required (in order of relative importance) : Extensive experience as a business data consultant versed in architecture and technologies to support cloud-based data warehouses. Project management and documentation skills. Ability to analyze issues and recommend solutions. Project management experience, including conflict resolution, issue escalations, status reporting and resource management. Experience creating policy or governance documents. Excellent oral, written, analytical and communication skills with the ability to lead a technical discussion with technical and non-technical staff. Excellent analytical, verbal, and conflict resolution skills. Experience leading and working with cross-functional teams. Understanding of data automation and data pipelines from a business data owner perspective.

    Desired Skills (Nice-to-Have)

    Understanding of courtroom operations and workflow. Experience in government (State) setting. A technical understanding of tenancy in a cloud-based data warehouse. Experience with Snowflake, Talend, and PowerBi. Excellent presentation skills for both technical and non-technical audiences, including creating and presenting executive summaries to management and technical committees. Experience in user research and data analysis. Experience working closely with Security and Compliance on programs (for example, FedRAMP, SOC2, GDPR) to ensure best practices.

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