Director, AI Transformation

Rare Beauty Brands

. Partner with executive leadership to map workflows, pain points, and friction across functions .

Posted 10/24/2026full-timeRemote • United StatesLead💰 $130,000 - $150,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI governance, automation implementation, and process redesign, with a strong focus on data security and compliance. Proven ability to lead cross-functional initiatives, manage change, and deliver measurable business impact through AI and automation strategies.

Highest-signal resume keywords

AI GovernanceAutomation ImplementationProcess RedesignData SecurityChange Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Agent FrameworksLLM APIsPython ScriptingJavaScript ScriptingAutomation PlatformsData Policy WritingProcess Rollout ManagementP&L AnalysisMetric DefinitionVendor Security Review

Soft Skills

LeadershipCommunicationCollaborationProblem-SolvingAdaptability

Tools & Technologies

ZapierMakeN8nShopifyAmazon Seller CentralNetSuiteKlaviyo

Industry Keywords

Digital TransformationEcommerceConsumer ProductsData PrivacyShadow AI Management

Tech Stack

Tools & technologies

ERPJavaScriptPython

About the role

Key responsibilities & impact

Partner with executive leadership to map workflows, pain points, and friction across functions
Build and maintain a prioritized pipeline of AI and automation opportunities ranked by business impact, effort, and risk
Design, prototype, and deploy AI agents, automations, and integrations across ERP, ecommerce, Amazon, CRM, email marketing, data, and reporting systems
Perform hands-on implementation or direct vendors, agencies, and internal builders
Own technical architecture, data access, system connections, and agent guardrails
Lead change management through training, documentation, adoption tracking, and process redesign
Build internal capability and reduce organizational dependence on the role
Own AI governance and chair the AI governance group
Maintain AI policy covering acceptable use, approved tools, data handling, brand safety, and human review
Run an agent and tool registry with owners, purposes, system and data access, costs, and review dates
Set least-privilege, spending, change, logging, and shutdown guardrails for action-taking agents
Protect company and customer data and conduct security and privacy reviews of AI vendors
Identify and manage shadow AI usage
Own incident response for incorrect agent behavior, data exposure, or unexpected outcomes
Track applicable privacy and AI regulations and maintain compliance
Define initiative metrics and report hours saved, cost avoided, revenue lifted, and cycle-time reductions
Provide the CEO and executive leadership team with regular reporting on results, priorities, risks, registry status, reviews, and incidents
Identify AI disruption opportunities and translate breakthroughs into execution plans
Meet with every department in the first 90 days, document friction points, and deliver a ranked roadmap with initial builds
Establish AI governance, publish the AI use policy, and register existing AI tools and agents
Redesign processes around agents or automations, measure value, and establish repeatable AI evaluation, build, governance, and rollout practices

Requirements

What you’ll need

7+ years of experience spanning operations, technology, consulting, or product
At least 2 years leading hands-on AI, automation, or digital transformation work built yourself, with specific measurable results
Hands-on fluency with LLM APIs and agent frameworks
Experience with automation platforms such as Zapier, Make, n8n, or similar
Enough Python or JavaScript scripting to connect systems and move data
Working knowledge of AI governance and data security, including access controls, data privacy, vendor security review, and agent guardrails
Experience writing an AI or data policy that people followed
Track record of redesigning processes, managing rollouts, and tracking adoption
Experience bringing non-technical teams through process change
Ability to read a P&L and size business opportunities
Ability to explain technical architecture to engineers and business cases to CEOs
Comfortable operating in a lean, fast-moving company with end-to-end ownership and no team under you initially
Nice to have: experience in consumer products, beauty, or ecommerce and familiarity with Shopify, Amazon Seller Central, NetSuite or similar ERP, and Klaviyo or similar
Nice to have: experience evaluating and managing vendors, agencies, or freelance developers
Nice to have: data background including reporting, metric definition, and cleaning messy sources

Benefits

Comp & perks

401(k) plus employer match
Medical benefits
Dental benefits
Vision benefits
Paid time off
Company-wide self-care days
Ownership over a growing function at a fast-moving, founder-led beauty brand incubator
Bonus potential