Director II, Data Engineering, Business Technology Solutions

What you'll do

• Own the Development Data Engineering vision, multi-year roadmap, and alignment with enterprise architecture and regulatory requirements.
• Define the operating model for data engineering including intake, design standards, delivery governance, and production support.
• Lead a team of 15 internal engineers and manage over 100 contract workers from strategic partners.
• Translate technical data engineering trade-offs into business value, risk, and cost impacts to influence investment decisions.
• Oversee major initiatives including platform modernization, data product creation, and the automation of data quality controls.
• Design and govern target-state patterns for pipelines, metadata layers, and audit-ready delivery in a regulated environment.
• Establish engineering standards for schema design, lineage, security, and interoperability across all development data initiatives.
• Manage vendor relationships and evaluate strategic tools to build long-term data engineering capabilities.

What we're looking for

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 12+ years of experience in the field.
• Proven success building and leading high-performing teams with solid and matrixed reporting structures.
• Experience shaping roadmaps, target-state architectures, and major investment decisions for modernization and scale.
• Proven success designing data architectures including products, feature stores, monitoring, and governance in regulated environments.
• Demonstrated ability to influence senior executives by translating technical choices into business value and financial implications.
• Experience establishing enterprise governance mechanisms, architecture review processes, and standards adoption models.
• Strong financial and strategic acumen regarding portfolio prioritization, investment planning, and vendor strategy.
• Advanced degree in Computer Science or Engineering (preferred).
• Prior experience as an enterprise architect or head of architecture in a data/AI-intensive organization (preferred).
• Experience in regulated industries with familiarity with compliance frameworks and audit processes (preferred).
• 10+ years of progressive experience in software engineering, data engineering, or platform leadership (preferred).
• 10+ years of building production grade data capabilities (preferred).
• Deep expertise in cloud architecture, distributed systems, and modern data ecosystem design (preferred).