VP of Business Process Engineering

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a VP, Business Process Engineering & Agentic AI Innovation based in the United States.

• Partner with the Chief Technology Officer and technology leadership to define and implement enterprise technology strategies for AI platforms, applied AI, and process automation.
• Establish technology policies, architectural standards, and governance frameworks that support secure, scalable, and cost-effective delivery.
• Align technology investments and transformation initiatives with organizational priorities, mission objectives, and financial constraints.
• Design and establish an enterprise Agent Builder Framework for creating, deploying, orchestrating, and managing AI agents.
• Define standards for agent orchestration, tool integration, memory, governance, and responsible implementation of agentic AI.
• Develop reusable components, templates, and reference architectures to accelerate scalable agent development and serve as the central design authority for agentic AI initiatives.
• Lead enterprise-wide business process engineering and automation strategies, identifying and prioritizing high-value opportunities for AI-enabled workflows.
• Establish human-in-the-loop models and decision-making frameworks that balance automation with appropriate human oversight.
• Develop domain-specific process engineering roadmaps aligned with organizational transformation priorities.
• Define foundational architecture for AI platform services, orchestration layers, and enterprise systems, ensuring effective integration across CRM and ERP systems, cloud platforms, and AI services.
• Ensure alignment between user-facing experience layers and backend AI, data, and integration platforms.
• Manage relationships with external technology vendors and managed service providers (MSPs), establishing standards for AI frameworks, UI/UX, APIs, integrations, and React-based applications.
• Oversee vendor-delivered solutions to ensure they meet technical specifications, architectural standards, timelines, and budget requirements.
• Provide technical expertise during procurement activities and vendor negotiations.
• Establish and monitor platform reliability, performance, and operational excellence metrics.
• Foster a high-performing engineering culture centered on innovation, collaboration, continuous improvement, and technical learning.
• Lead organizational change initiatives that support adoption of AI-enabled workflows, automation frameworks, and new technology platforms.
• Enable internal teams and external partners to adopt new tools and frameworks effectively while promoting inclusive technology design and delivery.
• Ensure technology practices align with organizational commitments to affirmative action and nondiscrimination.
• Perform occasional evening or weekend work as required and travel approximately 0–10%.

• Bachelor’s degree in Computer Science, Information Management, or a related field, or equivalent professional experience.
• Advanced degree, such as an MS or MBA, or equivalent leadership experience strongly preferred.
• At least 15 years of experience in enterprise information technology leadership.
• At least 10 years of experience in senior-level management roles with multidisciplinary responsibilities.
• Proven track record leading large-scale technology transformation initiatives and influencing organization-wide change.
• Extensive experience in enterprise platform modernization and AI-enabled transformation.
• Strong understanding of enterprise technology strategy, complex technical architecture, and the ability to translate business priorities into practical technical solutions.
• Demonstrated fiscal responsibility and experience managing enterprise technology budgets and aligning investments with business needs.
• Experience with enterprise systems such as Salesforce, SAP, Oracle/NetSuite, and web-based platforms.
• Knowledge of major cloud platforms, including AWS, Microsoft Azure, and Google Cloud.
• Experience with integration technologies such as MuleSoft, RESTful APIs, GraphQL, and microservices architectures.
• Familiarity with identity and data platforms, including Okta, Gigya, and SQL or NoSQL databases.
• Strong understanding of AI and machine learning concepts, AI orchestration platforms, and agent-based architectures.
• Ability to establish enterprise architecture standards and coordinate internal teams, external vendors, and managed service providers.
• Excellent stakeholder management, communication, and influencing skills, with the ability to bridge business strategy and complex technical concepts.
• Strong leadership and change management capabilities, including the ability to build collaborative, high-performing teams.