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Deltek · 2 months ago

Director, AI Program Leader - Customer Success

United States

Full-time

Remote

Director/Executive

$102K/yr - $180K/yr

10+ years exp

Deltek is the recognized global standard for project-based businesses, delivering software and information solutions to help organizations achieve their purpose. The Director, AI Program Leader - Customer Success will build and lead Deltek’s AI Center of Excellence, driving innovation and operational efficiency across global teams while executing a comprehensive GenAI strategy tailored for post-sales functions.

ConsultingEnterprise SoftwareInformation TechnologySoftware

Growth Opportunities

No H1B

U.S. Citizen Only

Responsibilities

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

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

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

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

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

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

Qualification

AI/ML experienceGenAI strategyCloud platformsProgram managementAI ethicsExecutive communicationTeam collaborationConflict resolutionContinuous learning

Required

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

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

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