Director, AI Enablement & Security
About the role
The Director, AI Enablement & Security role at Bloomreach is a high-visibility leadership position. This role demands a rare blend of strategic business acumen and deep engineering leadership. Your primary mandate is to maximize Bloomreach's organizational velocity through AI adoption, while ensuring the necessary security controls, financial oversight, and compliance guardrails remain firmly in place.
Responsibilities
Enterprise AI Catalyst: Partner with leadership across all business units (Marketing, Sales, Customer Success, HR, Product) to identify, prioritize, and safely accelerate AI use cases that drive productivity and operational velocity.
AI Governance Committee: Chair or co-lead a cross-functional AI Governance Committee to align product, corporate, legal, and financial stakeholders on global AI initiatives.
Culture & Literacy Strategy: Design and champion a company-wide AI readiness and safety education strategy to raise the technical and risk-awareness baseline across Bloomreach.
Leadership & People Management: Scale multi-disciplinary teams, lead, mentor, and resource teams across three distinct technical domains: Information Security, IT, and AI enablement.
Technical Roadmap Execution: Translate broad, cross-departmental business needs into concrete technical roadmaps for your teams, ensuring corporate infrastructure and production safety scale alongside company growth.
AI Governance, Risk & FinOps: Collaborative Risk Management, Architect and own the enterprise AI FinOps framework alongside Finance, Direct your teams to build the technical tracking required to monitor, forecast, and optimize enterprise-wide AI spend, vendor costs, and LLM API consumption across all departments.
Vendor Lifecycle Governance: Oversee the technical evaluation and continuous risk profiling for all third-party AI platforms and integrated business tools used across the company.
AI Security & Infrastructure: Define the AI Security Blueprint, Establish the technical security standards and risk-appetite frameworks for both internal corporate AI usage and production-grade AI features. Automated Guardrails: Guide IT and Security engineers in deploying automated technical controls to prevent corporate data leakage and mitigate risks.
Qualifications
The ideal candidate should have 10+ years of experience in Information Security, IT, or Infrastructure Engineering, with 5+ years of experience managing and scaling multiple teams (IT, Security, and/or AI/Software Engineering).
A proven track record of driving rapid technology adoption and change management across diverse business units while successfully maintaining rigorous corporate guardrails.
Exceptional ability to build relationships and work seamlessly across all enterprise departments - from Go-To-Market and Product/R&D to Finance, GRC, Legal, and the DPO - bridging the gap between business enablement, execution, and compliance.
A deep conceptual and architectural understanding of modern AI systems (LLMs, MLOps, RAG, vector databases) and enterprise IT/Security infrastructure.
Elite communication skills - the ability to translate highly technical engineering concepts into business-impact narratives and clear, data-driven presentations for C-suite executives.
Preferred Qualifications
Experience leading security or engineering initiatives in a global SaaS, B2B, or e-commerce personalization company.
Advanced credentials such as IAPP Certified Artificial Intelligence Governance Professional (AIGP), CISM, or similar executive-level certifications.
Pay
The base salary range for this position is $200,000-$250,000, plus bonus & RSU's. The pay range actually offered will take into account a variety of potential factors considered in compensation, including but not limited to skills, qualifications, geographic location, accomplishments, experience, credentials, internal equity and business needs, and may vary from the range listed above.