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 DoingGovernance & Compliance that Actually Makes SenseLead 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.
Monitor and audit AI models for bias, explainability, and transparency. (Not just a checklist—we mean actual impact.)
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.
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.
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.
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.
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 HereYou’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.
Skills Required
- 2+ years experience in data governance, compliance, enterprise data management, or AI risk
- Built or matured governance frameworks in complex or regulated organizations
- Experience monitoring and auditing AI models for bias, explainability, and transparency
- Knowledge of GDPR, HIPAA, CCPA, and NIST AI RMF compliance requirements
- Strong understanding of data stewardship, metadata management, and data-sharing rules
- Familiarity with cloud environments (AWS, Azure, GCP)
- Ability to translate policy into practical roadmaps and communicate with IT, legal, and business stakeholders
- Experience setting governance KPIs, running audits, and producing compliance dashboards/reports
- Familiarity with AI ethics, bias mitigation techniques, model explainability, and risk auditing
- Clear written and visual communication skills and attention to detail
- IAPP AIGP certification or willingness to obtain
- Experience using AI tools (ChatGPT, Claude, Gemini), enterprise ML platforms, LLMs, or Zapier for automation
- Background in automated computer vision applications
- Experience with agile methodologies, change management, or human-centered design
- Consulting, product ops, or data strategy experience; advising leadership on AI strategy
What We Do
Purple Unicorn is a modern talent acquisition and HR consultancy that partners with growth-minded companies to attract talent and install scalable, fully-managed HR systems. Operating as an embedded partner, the firm delivers full life-cycle recruiting and fractional HR leadership to help organizations hire with precision, scale culture, and retain high performers without adding permanent headcount, aligning closely to client strategy and hiring velocity.
