Job Description

Who are we?

Checkmarx is the leader in application security and ensures that enterprises worldwide can secure their application development from code to cloud. Our consolidated platform and services address the needs of enterprises by improving security and reducing TCO, while simultaneously building trust between AppSec, developers, and CISOs. At Checkmarx, we believe it’s not just about finding risk, but remediating it across the entire application footprint and software supply chain with one seamless process for all relevant stakeholders.

We are honored to serve more than 1,800 customers, which includes 40 percent of all Fortune 100 companies including Siemens, Airbus, SalesForce, Stellantis, Adidas, Wal-Mart and Sanofi.

What are we looking for?

Director, Business Intelligence & AI to join our Business Applications organization. This is a senior individual contributor role with a director title and light team leadership (5 people), sitting at the intersection of data strategy, architecture, and execution. You'll own the data foundation that powers our company's most critical business decisions — from GTM and revenue analytics to operational intelligence across the organization.

You'll report to the VP of Business Applications and work closely with stakeholders across Finance, Sales, Marketing, Customer Support, Product, R&D, and HR to ensure our data assets are trustworthy, scalable, and increasingly AI-ready

What will you do?

· Architecting the data foundation that makes it possible for business users to ask questions in plain English and get trusted, real-time answers.

· Define and execute a strategy to migrate from traditional BI (dashboards, scheduled reports) toward AI-powered, natural language interfaces for business intelligence

· Architect the data layer that enables LLM-based querying — including semantic layers, vector stores, knowledge graphs, and metadata enrichment — so that AI agents can reliably reason over company data

· Design and own a scalable, AI-ready data architecture — warehouse/lakehouse structure, semantic layer, and data contracts — that supports both analytical and AI/ML workloads

· Build robust data modeling foundations (clean entities, clear metrics definitions, consistent taxonomies) that LLMs can reason over accurately

· Serve as a trusted advisor to business leaders across GTM, Customer Success, Finance, and Product — proactively engaging them to understand their decision-making needs.

· Translate ambiguous business questions ("why is churn spiking in the mid-market?") into well-defined data problems, and then into scalable, AI-powered solutions

· Build strong relationships with stakeholders at all levels — from individual analysts to VP and C-suite — and maintain a prioritized roadmap that reflects real business value

Requirements

What We're Looking For?

Must-Have

• 6+ years in data engineering, data architecture, or BI, with strong hands-on technical depth
• Proven experience or deep knowledge of architectures that power natural language querying over structured business data - including semantic layers, LLM-to-SQL patterns, and AI/BI platforms
• Solid data modeling foundations - dimensional modeling, data contracts, metrics layers - and an understanding of how these underpin reliable AI outputs
• Experience with modern data stack: Snowflake, dbt, ETL/ELT tooling
• Experience with automation and integration platforms (WORKATO, e.g.)
• Genuine excitement about the shift from traditional BI to conversational, agentic intelligence - and the technical judgment to do it right
• Strong business acumen - able to understand GTM, CS, and Support workflows deeply enough to proactively identify where data and AI can create leverage
• Proven track record of building trusted partnerships with business stakeholders, influencing roadmaps, and driving adoption of data solutions.
• Genuine curiosity about how businesses operate, and the ability to ask the right questions before jumping to solutions.
• Strong communicator who can bridge technical architecture decisions with business use cases for non-technical stakeholders.

Nice-to-Have

• Hands-on experience building LLM-powered data applications (AI agents over structured and unstructured data)
• Background in B2B SaaS, ideally cybersecurity or developer tooling
• Knowledge of Salesforce data models and GTM analytics

What we have to offer

Checkmarx offers a great work environment, professional development, challenging careers, competitive compensation, great work-life balance, as well as great benefits and perks throughout the year. Checkmarx is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, or other characteristics protected by law.