Lead for Enterprise Reporting and Self-Service Analytics

New York State - Office of the Attorney General
  • Full-time
  • Latham, NY
  • 121413 USD / year
  • πŸ’° Salary: $96,336–$121,413πŸ—“οΈ Work Model: HybridπŸ“‹ Type: Full-timeπŸ“… Closes: October 16, 2026
    🏷️ Category: Data & MeasurementπŸ›οΈ Org Type: State
    πŸ“ Office Location: Latham, NYπŸ—ΊοΈ State: NY

New York State - Office of the Attorney General

Under the direction of the Assistant Director of Data and Business Intelligence (MITS 2), SG-29 the Information Technology Architect 1, SG-25, will serve as the Lead for Enterprise Reporting and Self-Service Analytics within the Enterprise AI and Data Unit. This position will develop, govern, and deliver modern business intelligence (BI) and analytics capabilities. This position will play a critical role in modernizing and securing data access, standardizing enterprise reporting practices, and enabling data-driven decision-making across legal, operational, and investigative units.

Duties:

  • Design, develop, and lead the implementation of a centralized enterprise reporting and analytics strategy aligned with OAG's mission, priorities, and data governance frameworks.
  • Assist in the development and enforcement of reporting standards, data visualization best practices, and governance policies to ensure consistency, quality, and accuracy across reports and dashboards.
  • Collaborate with OAG stakeholders to consolidate redundant reporting efforts and create validated, trusted sources of truth.
  • Identify opportunities to streamline reporting workflows, reduce manual reporting burdens, and transition toward scalable, automated reporting.
  • Develop and lead the rollout and administration of self-service analytics tools, empowering staff to access and explore data within appropriate guardrails.
  • Partner with IT to implement user roles, permissions, data lineage, and usage monitoring.
  • Develop and maintain a library of reusable analytics assets and templates for common metrics and KPIs.
  • Assist in providing training, written documentation, and hands-on support to users to promote data literacy and effective product use.
  • Serve as the functional owner of enterprise BI platforms (e.g., Power BI, Tableau, Microsoft Fabric, or equivalent), ensuring scalability, performance, and secure integration with core systems.
  • Oversee the development and maintenance of dashboards, operational reports, executive summaries, and data visualizations.
  • Ensure data pipelines, datasets, and semantic models meet reporting needs.
  • Work closely with stakeholders to understand reporting needs and deliver tailored data solutions.
  • Coordinate with the AI and data science staff to integrate advanced analytics outputs into reports and dashboards.
  • Participate in enterprise governance and AI committees or working groups and contribute to the development of metadata, data dictionaries, and reporting catalogs.
  • Define and track KPIs for reporting efficiency, data adoption, and user satisfaction.
  • Monitor system usage and user feedback to inform product improvements, new training needs, or expanded capabilities.
  • Lead ongoing efforts to evaluate and adopt new BI features, technologies, or data visualization approaches to enhance user experience and insight delivery.
  • Perform the full range of supervisory duties.
  • Other duties as assigned.

Minimum Qualifications

A bachelor's degree in information systems, data analytics, business intelligence, or a related field and at least four (4) years of experience in business intelligence, enterprise reporting, or data analytics, with demonstrated leadership in dashboard development, user enablement, or enterprise-scale reporting.

Substitutions:

  • Four years of specialized experience or an associate's degree and two years of specialized experience may substitute for the bachelor's degree.
  • Juris doctorate or master's degree may substitute for one year of specialized experience.
  • A Ph.D. may substitute for two years of specialized experience.

PREFERRED QUALIFICATIONS

  • Familiarity with enterprise data cataloging and governance platforms.
  • Experience in public-sector or legal environments with regulatory or compliance-based reporting requirements.
  • Knowledge of metadata management, data dictionaries, and semantic layer modeling.
  • Experience leading user training programs or analytics communities of practice.