> Markdown version of [/jobs/ext/1243283-data-ai-enablement-lead](https://www.wearedevelopers.com/jobs/ext/1243283-data-ai-enablement-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 & AI Enablement Lead - **Company:** Vets Inc - **Location:** Washington, DC, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Data Analysis, Information Systems, Automation of Marketing, Information Technology, Data Management - **Published:** July 11, 2026 - **Apply:** https://www.careerjet.com/jobad/usd45a52fa25e5c20138283eab357adeac ## About the Role * Bachelor's degree in Data Science, Computer Science, Information Systems, or a related field. * 6-8 years of experience in data, analytics, AI, or technology enablement. * Experience leading enterprise-scale enablement or adoption initiatives. * Knowledge of data platforms, AI technologies, analytics, and automation. * Experience developing enablement frameworks, onboarding programs, and technical documentation. * Strong stakeholder management and cross-functional collaboration skills. * Experience with platform adoption metrics, dashboards, and usage analytics. * Leadership experience in Agile or product-based environments. * Excellent communication, presentation, mentoring, and facilitation skills. * Experience with community engagement or technical advocacy (preferred). ## Description The Data & AI Enablement Lead drives enterprise-wide adoption of data, AI, analytics, and automation capabilities by developing enablement strategies, reusable resources, onboarding programs, and governance standards. This role partners with business and technology teams to improve data literacy, promote responsible AI usage, measure adoption, and lead enterprise enablement initiatives. Duties and Responsibilities * Develop and implement enterprise enablement frameworks for data, AI, analytics, and automation platforms. * Create reusable enablement assets, including starter kits, templates, reference code, and onboarding materials. * Lead enterprise adoption initiatives across multiple business units. * Partner with product, engineering, and architecture teams to integrate enablement standards into delivery processes. * Develop dashboards and metrics to monitor adoption, engagement, and program effectiveness. * Mentor and coach enablement team members and technical advocates. * Promote data literacy and responsible AI adoption across the organization. * Serve as a liaison between business and technology teams. * Develop technical documentation and user guidance materials. * Support platform releases by ensuring enablement resources are available. * Identify opportunities to improve enterprise adoption and user experience. * Research emerging AI, analytics, and enablement technologies and recommend best practices. * Lead cross-functional collaboration to maximize business value from data and AI initiatives. * Perform additional data enablement and AI advocacy responsibilities as assigned. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Big Business, Big Barriers? Stress-Testing AI Initiatives.](https://www.wearedevelopers.com/videos/1022-big-business-big-barriers-stress-testing-ai-initiatives) - [It's all about the Data](https://www.wearedevelopers.com/videos/425-it-s-all-about-the-data) - [ShapeShift: Reinventing Agile for a B2B SaaS Scale-Up](https://www.wearedevelopers.com/videos/1655-shapeshift-reinventing-agile-for-a-b2b-saas-scale-up) - [AI and Agility: The Dynamic Duo for Disruption](https://www.wearedevelopers.com/videos/2081-ai-and-agility-the-dynamic-duo-for-disruption) - [AI PowerPlay: Building High-Impact Teams & Transformative Solutions](https://www.wearedevelopers.com/videos/1005-ai-powerplay-building-high-impact-teams-transformative-solutions) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to start an AI project for a good cause and boost your career](https://www.wearedevelopers.com/magazine/15-how-to-start-an-ai-project-for-a-good-cause-and-boost-your-career) - [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) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)