Assistant Division Director - Office of Data Management and Reporting (#188-26)

Key Responsibilities

• Play an active role in implementing NJ DCF’s Information Management Strategy Roadmap.
• Translate business needs into technical roadmaps and manage intake and prioritization.
• Advises leadership on the impact of federal/state statutory changes.
• Develop and implement business-first processes for program management and data management capabilities.
• Own the architecture, delivery, and optimization of DCF’s cloud data lake/warehouse, including orchestration, CI/CD, monitoring, security, and cost management.
• Champion observability, documentation, and change management across the data ecosystem.
• Oversee data integration processes to facilitate seamless data flow between systems and applications.
• Establish data privacy policies and implement disaster recovery and business continuity strategies to ensure organizational data protection.
• Participate in governance committees, support implementation of data policies, steward roles, and compliance standards.
• Implement and maintain an enterprise data catalog and a data quality program with clear SLA.
• Facilitate implementation of data governance policies and procedures to ensure the accuracy, reliability, and security of data across the organization.
• Ensure compliance with federal/state mandates and internal policies.
• Leverage reporting tools to track data quality, usage trends, and KPIs for data products, ensuring actionable insights for stakeholders.
• Design reusable data products for reporting, dashboards, statutory submissions, and research partnerships.
• Guide responsible use of AI and automation with applicable safeguards.
• Lead, develop, and mentor a technical team of engineers, data modelers, and stewards.
• Manage performance evaluations and operational functions for assigned staff.
• Build and maintain a positive, inclusive work environment.
• Support vendor selection, contract oversight, and delivery standards.
• Represent DMR and DCF in meetings, conferences, and stakeholder engagements.

  Minimum Qualifications

  • Bachelor’s degree in information systems, computer science, engineering, or related field (Master’s preferred).
  • 10+ years in data engineering/analytics/platform roles, including 5+ years managing technical teams.
  • Hands-on experience with Azure/AWS cloud data platforms; strong SQL and Python skills.
  • Experience with CI/CD and Infrastructure-as-Code.
  • Knowledge of AI/ML concepts and responsible AI practices.
  • Strong communication and stakeholder management skills.
  • Experience in data management, business intelligence and analytics environments is required.
  • Experience across product life cycles (emerging, launch, in-line, mature) is preferred.

  Preferred Qualifications

  • Familiarity with regulatory reporting processes and prior experience working in a highly regulated environment.
  • Demonstrated experience in governance including catalog/lineage and data quality.
  • Knowledge of open data programs and API-based data exchange.
  • Experience with modern data stack components such as Databricks, Spark, dbt, Terraform, and containerization/orchestration frameworks (e.g., Docker/Kubernetes).
  • Experience in software development, including an understanding of programming concepts and the logic flow of applications, is preferred.