Director, Business Systems & Platform Engineering

The Engineering and Business Systems team collaboratively works across Chainalysis’ Business Automation, Data, and Systems organization to ensure core business systems and platforms enable business policies and operational processes. Their mission is to empower employees by building foundational systems and data products that drive business decisions and processes while accelerating Chainalysis’ growth.

As the Director, Business Systems & Platform Engineering, you’ll lead the technical teams through a shift to headless, API, and MCP-driven business systems architectures. You’ll own the integrated technical roadmap for building technology architecture, administration, and engineering practices. The ideal candidate brings strong software and data engineering leadership and can quickly ramp up on GTM and Finance systems domains. The role involves leading a small organization encompassing platform engineering, data engineering, integration engineering, and systems administration.

In this role, you'll:

• Lead the systems and engineering organization through a transition from an IT/admin-centric model to one centered around platform and data engineering.
• 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 direct reports, including technical mentorship and career pathing.
• Collaborate with team members to establish and codify standards, style guides, workflows, ceremonies, and engineering practices into a coherent operating model leveraging AI and agentic processes.
• Partner with Product, Success, and Program Management to prioritize and deliver the BADaS roadmap by translating business, process, and product requirements into technical scope, staffing, and sequencing decisions.
• Act as the internal technical counterpart to vendors and partners, including reviewing architecture proposals, approving technical designs, and owning technical builds.
• Own security, RBAC, and data-governance posture of BADaS platforms, especially from an audit and access-control risk perspective.
• Partner with engineering leaders across Chainalysis on best practices and leverage existing platforms, components, solutions, and codebases.

We're looking for candidates who have:

• 8+ years of experience in software, platform, or data engineering, including 4+ years managing engineers and engineering managers.
• Strong organizational leadership in hiring, career pathing, and building succession depth across a multi-manager org with current single-point-of-failure risk.
• Comfortable 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/regression discipline.
• Experience managing a technically mixed org (engineers, data engineers, and platform/systems administrators) and raising the technical bar of admin-facing work over time.
• A data-first orientation focused on data architecture and flow.
• Strong working fluency in modern, event-based, service-oriented architectures using server-side JavaScript/TypeScript/Node.js within a primarily serverless AWS environment.
• Deep experience with REST/GraphQL API architectures, including authorization strategies like OAUTH and JWT.
• Familiarity with data engineering fundamentals and infrastructure, including SQL, Python, dbt/data modeling, pipeline orchestration, batch vs near-real-time ETLs, and medallion architectures.
• Experience with IaC platforms (e.g., Terraform) for DevOps and cloud infrastructure.

Nice to have experience:

• 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.
• A 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 and/or Finance (e.g., Marketo, Salesforce, NetSuite, Nue, Salesforce Revenue Cloud Advanced, Conga, and DealHub) at an architectural and API level.

Technologies we use:

• Python, Node.js
• AWS (Lambda, Step Functions, S3, CloudWatch, VPCs, IAM)
• Workato, Fivetran
• Databricks, Airbyte
• Terraform
• Git, Github
• Salesforce, Netsuite, Workday, Marketo, Clari, Adaptive
• LiteLLM, Claude Code

AI at Chainalysis
AI is not a feature at Chainalysis—it is a new way of working. It turns instructions into work done and helps the team move faster than the threats they counter. Employees are expected to take ownership of AI outputs and ensure quality. AI fluency is tied directly to performance and winning strategies. Chainalysis provides tools, workflows, and space to experiment, but employees are expected to develop these capabilities themselves, bring ideas, and collaborate across teams to reinvent how work gets done.

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 can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Their mission is to build trust in blockchains, blending safety and security with a commitment to growth and innovation.

You belong here.
Chainalysis believes diversity of experience and thought makes them stronger. They are committed to ensuring their team reflects the unique communities around the world and continually revisit and reevaluate their diversity culture. They encourage applicants from all backgrounds and offer accommodations for interview processes due to disabilities.