VP of Engineering

Our client is seeking an experienced technology leader to oversee Enterprise Intelligence & Insights Engineering capabilities. This role will lead the strategy, architecture, and delivery of modern reporting and analytics platforms that support critical business decision-making across the organization.

You’ll guide a multidisciplinary engineering organization while driving modernization initiatives focused on cloud-native analytics, enterprise reporting, automation, and scalable data platforms. Success in this role requires a blend of technical leadership, architectural expertise, and organizational development.

Responsibilities:

• Lead engineering teams responsible for enterprise reporting and analytics.
• Define the long-term strategy and architecture for enterprise analytics platforms.
• Modernize reporting, visualization, and analytics capabilities.
• Drive cloud adoption, platform modernization, and automation initiatives.
• Partner with business leaders to prioritize analytics investments and technology roadmaps.
• Establish engineering standards, governance, and best practices.
• Mentor and develop engineering managers, architects, and technical teams.
• Improve platform reliability, scalability, observability, and operational excellence.

Role Requirements:

• 8+ years building enterprise analytics solutions.
• 4+ years leading technical engineering teams.
• Experience with enterprise BI platforms (Tableau, Power BI, Cognos, or similar).
• Strong cloud platform experience (Azure, AWS, or GCP).
• Deep understanding of data architecture, data modeling, and scalable analytics platforms.
• Experience with modern software engineering practices, automation, APIs, DevOps, and CI/CD.
• Strong leadership, communication, and executive stakeholder management skills.
• Experience designing and modernizing enterprise reporting and analytics platforms.

Nice to Have:

• Banking or financial services experience.
• Analytics governance and reporting catalog implementation.
• AI-assisted or conversational analytics.
• Python and/or Java experience.
• Platform security, reliability, and observability.
• Enterprise reporting modernization initiatives.

How We Work:

• Collaborative leadership environment.
• Strong engineering ownership and accountability.
• Scalable architecture and cloud-first approach.
• Focus on delivering measurable business value through modern analytics platforms.