Manager, Data Engineering

Manager, Data Engineering

Under the direction of the Assistant Director, Health Analytics & Engineering, the Manager, Data Engineering provides technical leadership and oversight for the Health Fund's Data Engineering Team, including the enterprise data warehouse, system integrations, data pipelines, and data governance frameworks. The role leads a team of data engineering professionals responsible for delivering scalable, secure, and high-quality data solutions that support reporting, analytics, operational processes, and strategic initiatives.

The Manager, Data Engineering oversee numerous projects and initiatives across the full data lifecycle, including data governance, ETL processes, data validation, standardization and normalization, data integrity and quality assurance/control (QA/QC), data integration, and reporting and dashboard solutions. This position operates at both a technical and business level, helping to delineate roles and responsibilities across the Data Engineering Team while minimizing operational friction and delivering high-quality, reliable technical products in line with business needs and expectations.

Working closely with internal teams, including Data Engineering, Analytics, IT, and other stakeholders, as well as external data vendors and content providers, this position drives the delivery of high-quality data products, establishes best practices for data management and governance, and ensures data platforms meet evolving business, regulatory, privacy, and security requirements.

Essential Duties and Responsibilities:

• Oversee the Data Engineering Team through leadership and supervision. Staff may include Data Engineers, ETL Specialists, and other relevant technical staff.
• Provide leadership, coaching, performance management, and professional development to Data Engineering staff, fostering a collaborative, accountable, and high-performing team environment.
• Technical ownership of the data warehouse, including system architecture, data architecture, data engineering, and data pipelines
• Lead collaboration for the deployment and implementation of tools necessary to integrate data within and across information systems and support data-driven decision making.
• Understand business requirements and translate them into technical solutions and application features.
• Develop and implement methods to improve data reliability, quality, and accessibility.
• Maintain data governance and documentation practices for a variety of data inputs from multiple sources.
• Participate in the evaluation and pilot of new technologies and provide recommendations regarding their alignment with business needs and strategic objectives.
• Manage communication and relationships with data platform stakeholders, balancing business requirements with technology capabilities.
• Partner with business and technology leadership to develop and execute the Health Fund's data strategy, roadmap, and priorities, ensuring alignment with organizational goals and business objectives.
• Develop testing protocols to ensure processes are robust and bugs are identified, documented, and resolved.
• Conduct functional and non-functional testing.
• Evaluate existing data models, architectures, and pipelines.
• Develop and maintain technical documentation to accurately represent data models, architectures, integrations, and workflows.
• Ensure that integration processes are fully tested and any issues, limitations, integrations, or dependencies are well defined and documented.
• Work with cross-functional technology and business partners to lead the technical delivery of integration solutions approved within the portfolio and contribute to the ongoing development of the Funds' data strategy.
• Collaborate with business partners and internal teams to understand, document, prioritize and implement new datasets, integrations, and features within the data warehouse environment.
• Align closely with agency IT teams to support the deployment of integration systems.
• Partner with the QA and Infrastructure teams to ensure compliance with regulatory and security requirements.
• Establish, maintain, and enforce data engineering standards, policies, procedures, and best practices to ensure data quality, scalability, security, reliability, and operational efficiency.
• Monitor and optimize the performance, availability, and reliability of data platforms, data pipelines, data warehouse environments, and integration processes to support business continuity and operational effectiveness.
• Collaborate with Data Warehouse Architect in the design for the overall architecture of the data platforms and provide guidance and oversight.
• Ensure that guiding principles, technology standards, data governance requirements, and privacy policies are consistently followed.

Qualifications (Competencies):

• Minimum 8 years of experience in data engineering, data warehousing, ETL/ELT development, data integration, or related technical disciplines.
• Minimum 3 years of management or supervisory experience leading technical teams…