Manager, Data Architecture

Responsibilities

• Serve as a subject matter expert on HOPE’s data systems, business processes, workflows, and integration points.
• Design and implement robust data ingestion pipelines and ETL solutions for internal and external data sources.
• Manage all components of the Microsoft Azure ecosystem, including compute, storage, networking, databases, analytics, and governance.
• Ensure data loads and pipelines run reliably, with minimal impact on reporting and downstream systems.
• Lead data migration and conversion efforts for new software and system implementations.
• Lead, mentor, and develop a team of data professionals, fostering a culture of innovation, quality, and continuous improvement.
• Provide guidance on best practices for data management, data quality, analytics, and pipeline development.
• Collaborate with technology leaders, business partners, and cross‑functional teams to align data strategy and evaluate emerging tools and technologies.
• Partner with HOPE’s Learning & Development team to deliver end‑user training on reporting and data literacy.
• Oversee the use of statistical, analytical, and AI/ML methods to uncover insights, automate processes, and solve business challenges.
• Design and manage processes for data intake, validation, mining, engineering, modeling, visualization, and communication.
• Build Power BI dashboards and automated reporting solutions that address HOPE’s unique business needs.
• Recommend smart, data‑driven solutions that support organizational goals and operational efficiency.
• Ensure departmental milestones and goals are met within approved budgets.
• Partner with the Information Technology team to ensure proactive monitoring and timely system upgrades.
• Manage day‑to‑day staff performance, including timekeeping, capacity planning, and performance management.
• Perform other duties as assigned.

• Bachelor’s degree (or higher) in Statistics, Data Science, Computer Science, Engineering Applied mathematics, or related discipline; graduate degree in Data Science or other quantitative field is preferred
• 7+ years of professional experience in data management, with 3-5 years focused specifically as a data architect or in a related senior technical role leading and developing technical teams
• Experience with Microsoft Azure or other cloud-based platforms
• Experience in advanced analytics (data mining principles, predictive analytics, machine learning, AI tools, etc.)
• Experience with statistical programming languages, analytic models, and experimental design concepts

• data ingestion
• ETL solutions
• data migration
• data quality
• analytics
• AI/ML methods
• data modeling
• data visualization
• Power BI
• statistical programming

• leadership
• mentoring
• collaboration
• innovation
• quality improvement
• communication
• performance management
• capacity planning
• guidance
• training