Job Description:
What will you do in this role?:
- Take complete ownership of end-to-end delivery of complex, high-impact AI and SaaS implementation programsfrom kickoff to go-live and beyond.
- Lead enterprise deployments of LLM-based chatbots, voicebots, and conversational AI solutions.
- Act as the primary customer-facing leader, driving strategic discussions, managing expectations, and ensuring alignment with business objectives.
- Translate business requirements into structured delivery roadmaps in collaboration with product, engineering, QA, and AI teams.
- Mentor and guide project managers and delivery teams to ensure execution excellence.
- Run Agile ceremonies including sprint planning, daily scrums, and retrospectives.
- Track execution across tools like Jira, Asana, MS Project, or similar platforms.
- Proactively identify and mitigate risks, escalating critical issues when required.
- Drive Weekly and Monthly Business Reviews (WBRs/MBRs) with senior stakeholders and CXOs.
- Ensure high-quality, on-time delivery while driving adoption and long-term success of AI implementations.
What does success look like?:
- Enterprise AI programs delivered on time, within scope, and at high quality.
- Strong, trusted relationships with senior client stakeholders.
- Measurable business outcomes driven by scalable AI and automation.
- A high-performing delivery team culture built on ownership and accountability.
What would make you a good fit?:
- 8+ years of experience in technical project management.
- Minimum 3+ years in a senior or team-handling role.
- Proven experience delivering enterprise-scale, customer-facing SaaS or AI implementations.
- Strong exposure to AI/LLM-based solutions such as chatbots, voicebots, or automation platforms.
- Experience working in fast-paced SaaS or AI-first organizations.
- Confidence in engaging with senior stakeholders and leading business reviews.
Most Critical Skills For This Role:
- Strong stakeholder communication and executive presence.
- Expertise in scope management, planning, tracking, and delivery governance.
- Hands-on understanding of LLM tools and AI platforms used in live projects.
- Risk identification and structured problem-solving under pressure.
- Ability to scale and mentor high-performing project teams.
- Strong organizational skills with the ability to manage multiple enterprise programs simultaneously.
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