Director, AI Program Leader

The Director, AI Program Leader - Customer Success will build, scale, and lead Deltek’s AI Center of Excellence, driving innovation, operational efficiency, and strategic alignment across global teams. This role is responsible for defining and executing a comprehensive GenAI strategy tailored for post-sales functions, championing enterprise-wide AI transformation initiatives, and positioning Deltek as a leader in enterprise AI. The Director will collaborate with cross-functional leaders to identify high-impact GenAI use cases, deliver measurable improvements in process efficiency and customer satisfaction, and foster a culture of experimentation and ethical AI use.

Strategic Leadership

• Build, scale, and lead the AI Center of Excellence for Post-Sales Functions, driving innovation, operational efficiency, and strategic alignment across global teams
• Define and execute a comprehensive GenAI internal use strategy tailored for Post Sales functions
• Continuously monitor and analyze emerging industry and technology trends, opportunities, and risks in the GenAI landscape
• Provide strategic insights and recommendations to leverage new technologies and mitigate potential risk

Champion GenAI

• Spearhead enterprise-wide AI transformation initiatives, delivering measurable improvements in process efficiency, workforce enablement, and customer satisfaction
• Leverage industry best practices and emerging technology trends to position Deltek as a leader in enterprise AI
• Collaborate with cross-functional leaders & key stake holders to identify & prioritize high-impact GenAI use cases

Solution Development & Implementation

• Lead the design, development, and deployment of GenAI solutions across post sales functions
• Champion AI-powered enhancements such as automated case summaries, intelligent response drafting, and predictive analytics for customer engagement

Employee Enablement & Literacy

• Develop and roll out training programs to elevate GenAI literacy across the Customer Success organization
• Promote responsible use of GenAI through education, peer-to-peer knowledge sharing, and continuous learning initiatives

Governance & Risk Management

• Establish governance frameworks for GenAI initiatives, including funding, cost tracking, and business value measurement
• Serve as a key liaison to the GenAI Governance Group and Steering Committee to ensure alignment with enterprise-wide AI policies

Culture & Innovation

• Foster a culture of experimentation, innovation, and ethical AI use
• Encourage rapid exploration of emerging tools and technologies to stay ahead of industry trend
• Foster adoption of GenAI tools like Copilot agents, Claude Code, and Coveo AI search to streamline workflows and improve service delivery

QUALIFICATIONS:

• Bachelor’s degree in computer science, computer engineering, AI, Data Science, or related field including Electrical Engineering or Electronics Engineering.
• 10+ years of experience in technology including 3+ years in AI/ML or Data Science.
• Hands-on coding experience is required; proven experience in building and deploying AI-based solutions is strongly preferred.
• Experience designing and developing Agentic AI applications is highly desirable. Proven experience in cloud platforms (Azure, AWS, GCP) and MLOps frameworks.
• Strong strategic thinking, program management, and executive presence.
• Deep understanding of GenAI technologies and their enterprise applications.
• Familiarity with AI ethics, governance, and regulatory considerations.
• US Citizenship is required.

Key Competencies

• Hands-on experience with designing, developing and deploying GenAI and Agentic AI solutions, tools, and frameworks.
• Deep understanding of LLMs, prompt engineering, retrieval-augmented generation (RAG), and multi-agent orchestration frameworks.
• Established governance models, talent pipelines, and delivery frameworks to accelerate AI adoption and maturity.
• Adept at translating AI capabilities into strategic business outcomes—cost optimization, revenue growth, margin expansion, and customer lifetime value.
• Experience in building AI business cases, ROI models, and go-to-market strategies.
• Demonstrated ability to influence and align product, engineering, sales, and customer success teams in matrixed organizations.
• Skilled in executive-level communication, stakeholder engagement, and conflict resolution.
• Champion of emerging technologies and agile experimentation, fostering a culture of continuous learning and iterative delivery.
• Experience in incubating AI prototypes, running innovation sprints, and scaling MVPs to production.