Director, Engineering & Business Systems

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

• Lead the systems and engineering org through a shift from a traditional IT and admin-centric org 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 other engineering and systems practices into a single, coherent operating model that leverages AI and agentic processes.

• Partner with colleagues in 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 to leverage platforms, components, solutions and code-bases that already exist.

• 8+ years of experience in software, platform, or data engineering, including 4+ years managing engineers and engineering managers.

• Strong organizational leadership: hiring, career pathing, and building succession depth across a multi-manager org that currently has real single-point-of-failure risk.

• Comfortable operating in an ambiguous, transformation-in-progress environment.

• Demonstrated ownership of team-based technical architecture and engineering practices: repo management, CI/CD, code review standards, test/regression discipline, etc.

• Experience managing a technically mixed org (engineers, data engineers, and platform/systems administrators) and successfully raising the technical bar of the admin-facing work over time.

• 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, relevant authorization strategies including 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 reverse ETLs, medallion architectures.

• Experience with IaC platforms (e.g. Terraform) for DevOps and cloud infrastructure.

• 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 a complex platform build, 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.

• 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

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. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation.

At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture.

We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here. We can’t wait to meet you.