Manager, Data Architecture

Hope Credit Union

Manager of Data Architecture leading data architecture efforts for HOPE, an organization supporting financial health in under-resourced communities. Overseeing data systems, team development, and collaboration on data strategy.

Posted 6/24/2026full-timeJackson • Alabama, Louisiana, Mississippi, Tennessee • 🇺🇸 United StatesSeniorLeadWebsite

Tech Stack

Tools & technologies

AzureCloudETL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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

Benefits

Comp & perks

Paid Vacation and Sick Time
11 Paid Holidays
401(k) with Company Match
Medical, Dental, and Vision Benefits
Flexible Spending Account (FSA)
Disability Benefits
Life Insurance, Critical Illness, Accident
Employee Assistance Program (EAP)
Tuition Reimbursement, Professional Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data ingestionETL solutionsdata migrationdata qualityanalyticsAI/ML methodsdata modelingdata visualizationPower BIstatistical programming

Soft Skills

leadershipmentoringcollaborationinnovationquality improvementcommunicationperformance managementcapacity planningguidancetraining

Certifications

Bachelor’s degreegraduate degree in Data Science