Vice President, Software Engineering and Data Intelligence

About the role

Provides strategic and operational leadership for the Credit Union's Software Development and Data Science & Analytics functions. Oversees software development, software engineering, data engineering, enterprise data governance, data architecture, business intelligence, analytics, and decision-support platforms. Directs the planning, development, implementation, and support of software solutions, data platforms, and analytics capabilities that advance organizational objectives through secure, efficient, and scalable technology and data practices.

Responsibilities

• Plans, organizes, evaluates and directs the work of the Software Development, Software and Data Engineering, Data Science & Analytics functions, with subordinate managers and supervisors
• Provides executive leadership to develop and retain highly skilled, member service-oriented professionals through selection, training, coaching, performance management, succession planning, and day-to-day management practices that support the Credit Union’s mission, strategic goals, RISE Values, and Code of Ethics
• Led and directs department staff in the development and application of new processes, services and technologies to achieve higher efficiency, productivity and member service and greater business market share
• Establishes data policies, standards, structures, roles, responsibilities, and enforcement mechanisms that support effective management, protection, accessibility, and appropriate use of enterprise information assets
• Ensures software engineering practices, data engineering solutions, applications, and analytics platforms incorporate appropriate privacy, security, compliance, ownership, disaster recovery, and performance considerations, including requirements related to cloud storage and third-party service providers
• Develops, implements and enforces proper policies and procedures related to software development, software engineering, data engineering, information security controls, enterprise data management, disaster response/recovery, data privacy, regulatory compliance, and operational risk management are utilized
• Stays abreast of and monitors trends and developments in software development, software engineering, data engineering, financial technology, data science, analytics, artificial intelligence, business intelligence, privacy, data security, regulatory requirements, and competitive market conditions; advises management on potential operational and strategic impacts
• Maintains a professional image and demeanor at all times, consistently demonstrating Credit Union RISE Values and adhering to the Code of Ethics

Requirements

• Minimum of 7 years progressively responsible experience in software development, data science, analytics, enterprise data management, information systems, or related technology leadership, preferably in a large financial institution
• Minimum of 5 years management experience leading technology, software development, data science, analytics, or enterprise data teams
• Minimum of 5 years experience with software development lifecycle management, application support, project delivery, data governance, data quality, data warehousing, dashboards, business intelligence, statistics, artificial intelligence, SQL, Python, and data visualization tools

Qualifications

• Education Requirements: 4 Year / Bachelors Degree - Information Systems, Information Technology, Software Development, Computer Science, Data Science, Analytics, or a closely related field
• Preferred: Graduate Degree - Information Technology, Computer Science, Data Science, Analytics, Business Administration, or a related field
• Preferred: Certified Scrum Master, Certified Scrum Practitioner, Data Governance, Analytics, or related professional certification

Skills

• Principles, practices, and techniques of information systems management, software development, enterprise data management, data governance, data science, analytics, and business intelligence
• Knowledge of software development technologies and practices, including C#, .NET, HTML, XML, CSS, AngularJS, REST APIs, relational databases, systems integration, and application architecture
• Ability to plan and manage complex software development, analytics, application implementation, data warehouse, and enterprise technology projects
• Knowledge of data governance, metadata management, data quality, data warehousing, data visualization, applied probability and statistics, web analytics, business performance metrics, and enterprise reporting
• Ability to establish and enforce technology, data, privacy, security, development, and compliance standards across assigned areas of responsibility
• Ability to research, analyze and make recommendations on complex and high level operational, compliance and business activities
• Ability to plan and manage complex applications development, implementation and maintenance projects
• Programming theory, standards and programming languages required for new applications