About the Role
We are seeking an AI delivery-driven leader to guide complex, customer-facing projects from initiation through closure. In this role, you will provide strategic directions across end-to-end delivery, act as the primary client partner, and ensure clear, consistent communication up to the leadership level. You will work closely with technical, product, and AI/GenAI stakeholders to drive roadmap alignment, support go-to-market readiness, and proactively manage risks, dependencies, and escalations.
Responsibilities
- Manage high-visibility software and AI/GenAI projects, ensuring alignment with scope, timelines, and customer expectations.
- Manage project plans, schedules, RAID logs, and core project documentation.
- Provide consistent communication with executive leadership.
- Drive ownership, accountability, and escalation management.
- Guide teams through the full project lifecycle.
- Mentor project managers and support PMO best-practice maturity.
- Navigate shifting priorities and adjust delivery approaches as needed.
AI Project Delivery Experience (Required)
- Led end-to-end delivery of conversational AI, LLM, and NLU solutions across scoping, execution, UAT, and deployment.
- Assessed AI use cases and evaluated data readiness, including ingestion, quality, labeling, and dependency tracking.
- Collaborated with engineering, product, R&D, and presales teams to validate model accuracy, output quality, and overall performance.
- Set and managed customer expectations while coordinating cross-functional delivery across technical and business teams.
- Identified and mitigated AI-specific risks such as model drift, hallucinations, data issues, and expectation misalignment.
- Applied hands-on prompt engineering with a clear understanding of prompting limitations and optimization strategies.
- Leveraged AI tools in daily workflows for automation, data analysis, content generation, and quality validation.
- Defined and monitored AI performance KPIs, translating metrics (e.g., accuracy, containment, hallucination rate, latency, cost per inference) into actionable insights.
- Managed AI cost drivers, e.g. token usage, model selection, prompt structure, and architecture optimization for efficiency and performance.
- Ensured compliance with AI safety, governance, and security standards, implementing guardrails, redaction practices, and structured evaluation frameworks.
PM Experience
- 8+ years of project management experience leading complex, customer-facing software delivery projects.
- Proven success managing full end to end delivery using Agile, Waterfall, and hybrid methodologies.
- Experience delivering technical, SaaS, and AI/GenAI projects.
- Strong analytical skills with a track record of managing risks, revenue, and escalations.
- Excellent communication & expectation management.
- Advanced proficiency in project management and reporting tools (e.g., MS Project, Salesforce, Rocketlane, & Power BI).
- PMP certification required.