> Markdown version of [/jobs/ext/1734970-data-privacy-lead](https://www.wearedevelopers.com/jobs/ext/1734970-data-privacy-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Privacy Lead - **Company:** Equifax - **Location:** Alpharetta, GA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Machine Learning, Privacy Controls, Large Language Models - **Published:** July 17, 2026 - **Apply:** https://www.dice.com/job-detail/e524a866-5840-4d82-b62a-a3aaeffb5874 ## About the Role * Minimum of three (3) years of direct data privacy, data protection, or privacy engineering experience, with more than five (5) years of professional work experience, with a strong preference for experience within the financial services or FinTech industries. * In-depth understanding of privacy policies, principles, and privacy-enhancing technologies (PETs), alongside strong familiarity with privacy control frameworks. * Documented experience interpreting privacy regulations and conducting privacy impact assessments across diverse cloud environments. * Proven project management and coordination skills, with a track record of meeting deadlines, prioritizing assignments, and managing multiple complex projects simultaneously. * Demonstrated leadership and partnering skills, with excellent verbal and written communication skills to inform, influence, and build relationships with both technical and non-technical partners. What could set you apart * Hands-on experience working with industry-standard Consent Management Platforms (CMPs). * Direct experience reviewing Data Protection Agreements (DPAs), Standard Contractual Clauses (SCCs), and privacy-specific clauses in commercial contracts. * Professional privacy certifications such as CIPP/US, CIPP/E, CIPM, or CIPT. * Practical knowledge of privacy risk management concerning artificial intelligence, large language models (LLMs), and automated decision-making systems. ## Description * Work closely with enterprise and business unit stakeholders to embed privacy in strategic initiatives during the design and execution phases. * Support the implementation, monitoring, and testing of our global privacy controls framework. * Assist in developing and maintaining policies, standards, and procedures that support global privacy program objectives and emerging benchmarks. * Conduct rigorous privacy impact (PIAs) and control assessments on applications, products, and processes to evaluate compliance with laws, regulations, and internal standards. * Monitor and track privacy and data protection regulatory frameworks (e.g., GDPR, CCPA/CPRA) to continually update and improve our program. * Enable the responsible use of artificial intelligence (AI) and machine learning through automated governance processes. #LI-AC1 #LI-Hybrid * Contribute to, support, and deliver privacy-specific training and awareness materials across the organization. * Research and respond to complex privacy-related inquiries from business units, customers, or regulatory agencies. * Manage data privacy program metrics, KPIs, and reporting, including delivering comprehensive readouts and updates to Senior Leadership. ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Building the platform for providing ML predictions based on real-time player activity](https://www.wearedevelopers.com/videos/944-building-the-platform-for-providing-ml-predictions-based-on-real-time-player-activity) - [Creating Industry ready solutions with LLM Models](https://www.wearedevelopers.com/videos/899-creating-industry-ready-solutions-with-llm-models) - [Data Privacy in LLMs: Challenges and Best Practices](https://www.wearedevelopers.com/videos/1218-data-privacy-in-llms-challenges-and-best-practices) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) - [Secure and Private AI - DeepMask](https://www.wearedevelopers.com/videos/1665-secure-and-private-ai-deepmask) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Got AI ideas but no money? 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