AI & Digital Innovation Delivery Director, Digital Transformation & Innovation

Job Summary The Managing Director, AI & Digital Innovation Delivery is responsible for leading AI solution delivery strategy, engineering governance, and execution across the DT&I portfolio. This role provides oversight of multiple delivery functions, establishes enterprise-level standards, and ensures alignment with firm strategy, governance, and operational priorities. The Director collaborates with senior leadership to support the delivery of AI-enabled solutions and digital transformation initiatives. Job Duties AI Strategy & Architecture Develops and maintains AI solution delivery strategy aligned with firm priorities Establishes enterprise architecture standards for AI-enabled solutions Evaluates emerging technologies and determines applicability to the DT&I portfolio Supports development of reusable platforms and capabilities Portfolio Delivery Oversight Provides oversight of multiple delivery teams and workstreams Monitors delivery progress, risks, and outcomes Ensures alignment with timelines, budgets, and quality expectations Supports prioritization of initiatives and resource allocation SDLC Governance Defines standards for SDLC processes, DevOps practices, and engineering quality Ensures consistency in deployment, testing, and release management practices Identifies risks related to scalability, performance, and technical debt Risk Management Ensures alignment with firm governance, regulatory requirements, and security standards Supports implementation of AI governance and responsible AI practices Collaborates with risk and compliance stakeholders Stakeholder Engagement Communicates with senior stakeholders regarding delivery status and priorities Supports alignment between technology and business objectives Participates in governance and leadership forums Performs other duties as assigned Supervisory Responsibilities Acts as a direct supervisor to team members and technical leads, as assigned Acts as a career advisor and mentor to team members as assigned Qualifications, Knowledge, Skills, and Abilities Education Bachelor’s degree required, focus in Information Systems, Computer Science, Engineering, Information Technology, preferred Experience Fifteen (15) or more years of experience in software development, AI/ML engineering, or cloud infrastructure, required Ten (10) or more years of experience as a lead developer writing production code, including AI/ML solution design and implementation, preferred Five (5) or more years of experience with AI orchestration frameworks (Semantic Kernel, LangChain, or equivalent) and Azure AI services, preferred Seven (7) or more years managing CI/CD pipelines and SDLC processes in Azure DevOps environments, preferred Experience establishing AI model governance frameworks including responsible AI policies and model lifecycle management, preferred Experience delivering enterprise-scale solutions in professional services, assurance, or accounting industries, preferred Experience with multi-agent systems, RAG architectures, and LLM function-calling patterns, preferred Software Extensive knowledge of Microsoft Azure including AI services (Azure AI Foundry, Azure OpenAI, Semantic Kernel) and application services (Azure DevOps, Azure Functions, Logic Apps, SQL Server), required Strong understanding of SDLC methodologies, DevOps practices, and CI/CD pipeline management, required Experience with AI orchestration frameworks (Semantic Kernel, LangChain, AutoGen, Copilot Studio), required Extensive knowledge of prompt engineering, RAG patterns, vector databases, and embedding models, preferred Experience with BI tools (Power BI, DAX), CI/CD pipelines, and source control (Git), preferred Experience with containerization (Docker, Azure Container Apps) and monitoring tools (Azure Monitor, Application Insights), preferred Other Knowledge, Skills & Abilities Strong expertise in AI solution development, DevOps management, and designing scalable enterprise applications Ability to serve as a lead developer and AI architect while managing SDLC processes and providing team leadership Robust knowledge of AI agent patterns, Semantic Kernel architecture, prompt engineering, and model governance Familiarity with data architecture and ability to collaborate with data engineering and infrastructure teams Excellent problem-solving skills with a focus on AI safety, code quality, and operational reliability Strong communication skills with the ability to convey technical concepts to non-technical stakeholders and leadership Experience presenting AI solution and architectural recommendations to governance bodies (e.g., Architecture Review Boards) Strong knowledge of security best practices, responsible AI standards, and compliance considerations in enterprise environments Ability to work across technical teams and business stakeholders in complex, fast-paced enterprise environments Self-directed with the ability to manage multiple priorities and competing deadlines Collaborative mindset with the ability to build relationships across all levels of the organization #J-18808-Ljbffr BDO USA