Compliance Specialist (AI Governance) -Remote

Purple Unicorn; United States; Hybrid; USD 100,000 - 180,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Purple Unicorn is seeking a governance and compliance professional to lead AI risk programs and build enterprise-wide governance frameworks. You will ensure data sharing rules, privacy guardrails, and metadata standards across projects, partnering with IT, legal, and product teams to turn policies into actionable roadmaps.

You will monitor AI models for bias and explainability, ensure compliance with GDPR, HIPAA, CCPA, and NIST AI RMF, and drive governance metrics and reporting.

Qualifications

• 2+ years of experience in data governance, compliance, enterprise data management, or AI risk.
• Built governance frameworks from scratch or matured them in complex, regulated organizations.
• Speak both languages: policy + tech, ethics + execution.
• Deep familiarity with AI ethics, bias mitigation, model explainability, and risk auditing.
• Strong understanding of data stewardship, metadata management, and cloud environments (AWS, Azure, GCP).
• Clear communicator with an eye for detail; makes complex decisions easy to follow.
• Pride in quality and care about how tech impacts real people.

Responsibilities

• Lead the buildout of AI/data governance frameworks prioritizing clarity and accountability.
• Create data-sharing rules, privacy guardrails, and metadata standards.
• Collaborate with cross-functional data stewards and engineers to resolve ownership questions.
• Monitor and audit AI models for bias, explainability, and transparency.
• Ensure compliance with GDPR, HIPAA, CCPA, and NIST AI RMF across projects.
• Bridge IT, business, legal and AI teams with practical roadmaps and metrics.
• Develop reports and dashboards to track governance performance and risk.
• Lead audits and risk reviews aligned with company goals.

Skills

Data governance

Policy & tech

AI ethics

Risk auditing

Cloud (AWS/Azure/GCP)

Stakeholder comms

Data stewardship

Job description

You’re the kind of person who doesn’t just check boxes—you design the entire checklist. You think ahead, hold the bar high, and understand that governance isn’t just about rules—it’s about creating clarity, reducing risk, and protecting trust in the age of AI.

We’re a hands‑on strategy consultancy helping companies go from AI‑curious to AI‑confident. We don’t stop at whiteboards—we partner on rollouts, ethical frameworks, enablement, and long‑term ROI tracking. And we’re looking for someone like you: focused, values‑driven, and ready to help organizations move responsibly and boldly into the future of work.

What You’ll Be Doing

Governance & Compliance that Actually Makes Sense

• Lead the buildout of AI and enterprise data governance frameworks that prioritize clarity, accountability, and industry‑aligned policies.
• Create data‑sharing rules, privacy guardrails, and metadata standards that make data smarter, safer, and more actionable.
• Partner with cross‑functional data stewards and engineers to clean up murky definitions, usage issues, and ownership questions—before they become problems.

Responsible AI is the Only AI

• Monitor and audit AI models for bias, explainability, and transparency.
• Ensure compliance with frameworks like GDPR, HIPAA, CCPA, and NIST AI RMF across AI projects, big and small.
• Collaborate with architects and project leads to embed ethical decision‑making into every stage of AI development.

You’re the Translator Everyone Trusts

• Act as the bridge between IT, business, legal, and AI teams—breaking down risk and policy into practical steps and roadmaps.
• Create visually compelling reports and dashboards to track performance, compliance, and what’s working (and what’s not).
• Facilitate governance conversations that feel like strategy—not red tape.

Make the Invisible Visible

• Set meaningful KPIs and performance metrics for governance adoption, AI health, and continuous improvement.
• Lead regular audits, pulse checks, and risk reviews to keep governance aligned with company goals and future‑proof strategy.
• Turn data into stories: clear, actionable, and trusted by leadership.

Who You Are

• 2+ years of experience in data governance, compliance, enterprise data management, or AI risk.
• You’ve built governance frameworks from scratch or helped mature them in complex, regulated organizations.
• You can speak both languages: policy + tech, ethics + execution.
• Deep familiarity with AI ethics, bias mitigation, model explainability, and risk auditing.
• Strong understanding of data stewardship, metadata management, and cloud environments (AWS, Azure, GCP).
• Clear communicator with an eye for detail—you make complex decisions easy to follow and easier to trust.
• You take pride in quality, and you genuinely care about how tech impacts real people.

Bonus Points If You...

• IAPP AIGP Certification (or willingness to obtain).
• Experience working in AI‑heavy sectors such as automotive, finance, healthcare, or tech.
• Direct experience using AI tools like ChatGPT, Claude, Gemini, and enterprise‑level ML platforms.
• Background in automated computer vision applications.
• Familiarity with agile project methodologies, change management frameworks, or human‑centered design.
• Have advised leadership on AI strategy, ethical risks, or tech readiness.
• Have used AI tools like Zapier, LLMs, etc. for process automation.
• Understand how to build a governance maturity model that scales.
• Have a background in consulting, product ops, or data strategy.

What You’ll Love Here

• You’ll be trusted— we don’t micromanage. You’ll own big work and make real decisions.
• You’ll grow fast—working with high‑caliber teams on next‑gen AI use cases across industries.
• You’ll be valued—your voice matters in client rooms, internal strategy, and how we build our culture.
• You’ll stay future‑proof—gain exposure to leading‑edge AI tools, governance models, and enterprise transformation practices.
• You’ll have space to live—this is a hybrid role, built with work‑life balance and deep work in mind.

Let’s make AI better—together, responsibly, and with systems that are smart, human‑centered, and built to last.