Sr. Director, AI & Business Enablement

Origence is always looking for diverse, talented people to join our exceptional team. Current job opportunities are posted here as they become available.

With 30 years at the forefront of fintech innovation, we specialize in SaaS lending solutions that lead the industry. Our core mission is customer‑centric, focusing on empowering Credit Unions across the United States with the tools to offer accessible, competitive lending services. We're deeply committed to enhancing the financial ecosystem for a broad network of credit unions, members and auto dealers.

We invest in our greatest assets, our employees, and foster a culture of innovation and ownership through freedom and responsibility. We celebrate fiscal accountability, operational rigor and efficiency to create a sustainably healthy and robust business for the long term.

You are a self‑driven, conscientious, fiscally responsible, self‑aware, passionate and compassionate professional. You are comfortable with ambiguity, eternally curious, and love problem solving. You operate as an owner and work with a growth mindset. You are extremely productive on your own, and act as a multiplier collaborating with others. You are tireless in questioning the status quo and pursue the best answers to the hardest problems to the benefit of the business.

Your focus is strong and capable of context switching and pivoting with the business. In the vacuum of leadership, you assume it.

Origence is seeking a visionary yet hands‑on AI leader to accelerate responsible and impactful adoption of artificial intelligence across all business functions. The Senior Director of Artificial Intelligence & Business Enablement drives enterprise AI strategy, implementation, and governance, overseeing initiatives that enhance productivity, decision‑making, and automation through Microsoft Copilot, Azure AI, and Microsoft Fabric integration.

This leader is accountable for advancing AI enablement, operationalizing the Corporate AI Committee, and driving measurable ROI through enterprise‑wide deployment of intelligent automation. The role requires deep technical fluency, change management expertise, and the ability to transform strategy into measurable outcomes.

• Enterprise AI Strategy & Execution
• Develop and lead the organization’s enterprise AI strategy aligned with business goals and innovation roadmap.
• Drive implementation of Microsoft Copilot, Azure AI Services, and other generative AI platforms to enhance workflows.
• Identify and prioritize high‑impact AI use cases in collaboration with functional and technology leaders.
• Prototype, evaluate, and deploy AI‑driven solutions that improve automation, member experience, and insight generation.
• Governance & Corporate AI Committee
• Lead the Corporate AI Committee to establish governance, policies, and ethical frameworks for AI deployment.
• Partner with Legal, Compliance, and Security teams to align AI initiatives with regulatory and privacy standards.
• Track and report AI adoption, risk posture, and performance metrics to the CIO and executive leadership.
• AI Training, Change Management & ROI
• Design and implement enterprise AI literacy and enablement programs.
• Establish KPIs to track AI adoption, ROI, and productivity gains.
• Promote a culture of experimentation and learning through success stories and internal showcases.
• Hands‑On Technical Leadership
• Develop and refine AI proofs‑of‑concept and prototypes leveraging Azure AI, OpenAI APIs, and Microsoft Fabric data assets.
• Mentor engineers, analysts, and business leaders in prompt engineering, automation, and applied AI.
• Collaborate with the Internal Software and Data teams to integrate AI capabilities into existing applications and data platforms.

• Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field.

• 12+ years of progressive experience implementing AI, ML, or intelligent automation at enterprise scale.
• Proficiency with Microsoft AI ecosystem, including Azure AI, OpenAI integrations, and Microsoft Fabric.
• Strong understanding of data governance, ethics, and AI compliance frameworks.
• Proven ability to manage…