Manager of Operational Reporting (Reporting & Analytics Manager)

Responsibilities

• Becomes a subject matter expert regarding HOPE data systems and business processes, workflows, data collection, and system connection points
• Recruits and manages a team of data analysts, acting as a coach and mentor offering expertise in best practices for data management, data quality, and data analytics
• Stews, manages, and assigns Decision Science projects and adhoc requests via the Decision Science ticketing system
• Oversees timely and accurate submission of required data reporting to internal and external stakeholders, including the HOPE board of directors, business units, regulators and auditors and investors
• Collaborates with technology leaders, business partners, and peer groups to align data roadmap design and strategy and evaluate new technologies and tools
• PARTNERS WITH THE HOPE INFORMATION TECHNOLOGY DEPARTMENT TO ENSURE PROACTIVE MONITORING AND TIMELY UPDATES ARE PERFORMED
• CREATES AND BUILDS DASHBOARDS AND AUTOMATED REPORTING SOLUTIONS TO ADDRESS UNIQUE HOPE BUSINESS CASES AND CHALLENGES
• ASSISTS IN DATA MIGRATION, CONVERSION, AND DATA VALIDATION ACTIVITIES FOR NEW SOFTWARE/SYSTEM IMPLEMENTATIONS
• ENSURES DATA LOADS OCCUR WITHOUT INCIDENT OR IMPACT TO REPORTING AND DOWNSTREAM SYSTEMS
• ENSURES PRODUCT/DEPARTMENTAL MISSIONS AND GOALS ARE MET
• CREATES TRAINING MATERIALS, DOCUMENTATION AND/OR TECHNICAL WRITING REGARDING REPORTING AND OTHER INFORMATIVE DATA PRACTICES
• MANAGES SUBORDINATE STAFF IN THEIR DAY-TIME PERFORMANCE WITH FULL AUTHORITY OF PERSONNEL ACTIONS
• PERFORMS ADMINISTRATIVE AND MANAGEMENT DUTIES SUCH AS TIMEKEEPING AND MONITORING, CAPACITY PLANNING, AND PERFORMANCE MANAGEMENT
• PERFORMS OTHER DUTIES AS ASSIGNED

Qualifications

• Bachelor’s degree (or higher) in Statistics, Data Science, Computer Science, Engineering Applied mathematics
• Minimum of 6 years of experience with data management, data architecture, data quality, data governance, and/or data engineering (i.e., compliance reporting, systems, data base designer, etc.)
• Preferred: Graduate degree in Data Science, Applied Mathematics, or another quantitative discipline.
• Experience working with advanced data analytics tools, cloud platforms, or enterprise-level data systems
• Experience leveraging the use of artificial intelligence for analysis and reporting
• Strong background in designing and implementing data governance frameworks or scalable data solutions