Director, AI Enablement & Security

About the Role:

As Bloomreach pioneers the future of AI-driven e-commerce, driving safe, efficient, and rapid AI adoption across our entire global enterprise is paramount. We are seeking a Director, AI Enablement to join our Global Information Security and Technology (GIST) leadership team.

This is a high-visibility leadership role demanding 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.

You will directly manage and scale high-performing teams of AI, Security and IT Engineers who build the core infrastructure, making enterprise AI adoption possible. Serving as the central operational bridge across all departments - from Go-To-Market (GTM) and Product/R&D to HR, Finance, and Legal - you will work hand-in-hand with our GRC team, Legal, and the Data Protection Officer (DPO) to deliver frictionless, secure technical enablement.

Key Responsibilities:

1. Cross-Departmental AI Strategy & Enablement

• 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.

2. 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.

3. AI Governance, Risk & FinOps

• Collaborative Risk Management: Partner closely with the GRC team, Legal, and the DPO to integrate AI-specific vulnerabilities and compliance requirements (e.g., EU AI Act, NIST AI RMF) into the overarching Enterprise Risk Management framework without stalling business velocity.
• Cross-Departmental Spend Optimization: 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.

1. 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 AI risks.

What You Bring:

• The Leadership Pedigree: 10+ years of experience in IT, or Infrastructure Engineering, with 5+ years of experience managing and scaling multiple teams (IT, Security, and/or AI/Software Engineering).
• Velocity-First Mindset: A proven track record of driving rapid technology adoption and change management across diverse business units while successfully maintaining rigorous corporate guardrails.
• Collaborative Diplomacy: 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.
• Technical Depth: Deep conceptual and architectural understanding of modern AI systems (LLMs, MLOps, RAG, vector databases) and enterprise IT. You can easily challenge assumptions and guide your direct reports.
• Executive Communication: 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 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.

Excited? Join us and transform the future of commerce experiences.

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.

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