Director, Engineering & Business Systems

As Director of Engineering & Business Systems at Chainalysis, you lead the systems and engineering organization through a transformation from a traditional IT-centric model to one centered on platform and data engineering. You own the technical architecture, roadmap, and delivery across business systems, enterprise data, and integrations, while managing and growing a multi-disciplinary team of engineers, data engineers, and systems administrators.

What you'll do

• Lead the systems and engineering organization through a shift from traditional IT and admin-centric functions to platform and data engineering focused work.
• Own the technical architecture, design, and delivery roadmap across business systems, enterprise data, and integrations.
• Directly manage and grow systems and engineering-track managers and individual contributors, including technical mentorship and career development.
• Establish and codify engineering and systems practices, standards, style guides, workflows, and ceremonies into a unified operating model that leverages AI and agentic processes.
• Partner with Product, Success, and Program Management to prioritize and deliver the BADaS roadmap, translating business and product requirements into technical scope, staffing, and sequencing decisions.
• Serve as the primary technical counterpart to vendors and partners, reviewing architecture proposals, approving technical designs, and owning technical implementations.
• Own the security, RBAC, and data governance posture of BADaS platforms, with particular focus on audit and access-control risk.
• Partner with engineering leaders across Chainalysis to leverage existing platforms, components, solutions, and code bases.

What you bring

• 8+ years of experience in software, platform, or data engineering, including 4+ years managing engineers and engineering managers.
• Strong organizational leadership with demonstrated ability in hiring, career pathing, and building succession depth across a multi-manager organization.
• Comfort operating in an ambiguous, transformation-in-progress environment.
• Demonstrated ownership of team-based technical architecture and engineering practices including repo management, CI/CD, code review standards, and test discipline.
• Experience managing a technically mixed organization spanning engineers, data engineers, and platform/systems administrators, with a track record of raising the technical bar of admin-facing work.
• Data-first orientation focused on data architecture and flow.
• Strong working fluency in modern, event-based, service-oriented architectures using server-side JavaScript, TypeScript, and Node.js within a primarily serverless AWS environment.
• Deep experience with REST and GraphQL API architectures, including authorization strategies such as OAuth and JWT.
• Familiarity with data engineering fundamentals and infrastructure including SQL, Python, dbt, data modeling, pipeline orchestration, batch and near-real-time ETLs, reverse ETLs, and medallion architectures.
• Experience with IaC platforms such as Terraform for DevOps and cloud infrastructure.
• Must be based in CST or EST.

Nice to have

• Modern AI-centric engineering workflows and practices.
• Experience with Model Context Protocol (MCP) and building autonomous AI agents.
• Hands-on experience with graph theory and databases, especially as a context layer for AI co-pilots, workflows, and agents.
• Track record of managing vendors and implementation partners on complex platform builds, including technical design review and sign-off authority.
• Experience with enterprise SaaS platforms used in GTM or Finance such as Marketo, Salesforce, NetSuite, Nue, Salesforce Revenue Cloud Advanced, Conga, and DealHub at an architectural and API level.

What we offer

The source does not specify salary, equity, or other explicit benefits for this role.

About Chainalysis

Chainalysis is the blockchain data platform making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations use Chainalysis to investigate illicit activity, manage risk exposure, and develop innovative market solutions. The mission is to build trust in blockchains, blending safety and security with a commitment to growth and innovation.