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

License/Certifications:

• N/A

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), preferred
• Strong understanding of SDLC methodologies, DevOps practices, and CI/CD pipeline management, preferred
• Experience with AI orchestration frameworks (Semantic Kernel, LangChain, AutoGen, Copilot Studio), preferred
• Extensive knowledge of prompt engineering, RAG patterns, vector databases, and embedding models, preferred
• Exp