Lead end-to-end enterprise AI and SaaS implementations involving LLM-powered chatbots, voicebots, conversational AI, and intelligent automation. Responsibilities include project planning, Agile execution, stakeholder and executive management, risk and escalation resolution, cross-functional coordination, governance, delivery tracking, post-launch adoption monitoring, and mentoring project managers. The role requires managing multiple complex programs while ensuring quality, security, performance, timelines, budgets, and measurable customer outcomes.
𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀
𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟯𝟬𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟯𝟱𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟯𝟬-𝟯𝟱 𝗟𝗣𝗔)
Experience: 8+ yrs
Location: Bengaluru
Job Type: Full-time
We are looking for an experienced Senior Project Manager – AI Delivery to lead complex enterprise technology implementations, with a strong focus on AI-powered chatbots, voicebots, Large Language Models (LLMs), conversational AI, and intelligent automation.
The ideal candidate will combine strong project management expertise with technical understanding, customer leadership, and the ability to deliver large-scale AI and SaaS programs. You will be responsible for translating business objectives into actionable delivery plans, coordinating cross-functional teams, managing risks, and ensuring implementations achieve measurable business outcomes.
Requirements
Key Responsibilities
- Lead end-to-end delivery of complex enterprise AI and SaaS implementation programs, from project initiation and planning to deployment and post-launch support.
- Manage enterprise implementations involving LLM-powered chatbots, voicebots, conversational AI, and intelligent automation solutions.
- Translate customer requirements and business objectives into structured project plans, delivery roadmaps, milestones, and execution strategies.
- Build strong relationships with enterprise customers and senior stakeholders, including CXOs and business leaders.
- Conduct weekly business reviews (WBRs), monthly business reviews (MBRs), executive reviews, and project governance meetings.
- Coordinate with Product, Engineering, QA, AI, and other cross-functional teams to ensure smooth project execution.
- Define project scope, timelines, resource requirements, dependencies, and delivery commitments.
- Drive Agile execution through sprint planning, daily stand-ups, retrospectives, and regular progress reviews.
- Track project progress using tools such as Jira, Asana, MS Project, or similar project management platforms.
- Identify delivery risks, resolve execution bottlenecks, manage escalations, and implement corrective actions.
- Ensure solutions meet agreed quality, performance, security, and business requirements before go-live.
- Monitor adoption, automation outcomes, operational efficiency, and customer experience improvements after implementation.
- Manage multiple enterprise programs simultaneously while maintaining visibility into timelines, risks, budgets, and outcomes.
- Mentor project managers and delivery teams, fostering accountability, collaboration, and a strong execution culture.
- Continuously improve delivery frameworks, governance practices, documentation, and implementation processes.
What Makes You a Great Fit
- 8+ years of experience in technical project management, program management, SaaS implementation, or enterprise technology delivery, including at least 3 years in a senior or team-handling role.
- Proven experience delivering complex, customer-facing enterprise implementations from initiation through go-live.
- Hands-on exposure to AI/LLM-powered applications, chatbots, voicebots, conversational AI, or intelligent automation platforms.
- Strong understanding of SaaS implementation lifecycles, Agile methodologies, project governance, and delivery management.
- Excellent stakeholder management, communication, negotiation, and executive presentation skills.
- Ability to engage confidently with CXOs, enterprise customers, and senior decision-makers.
- Strong expertise in project planning, scope control, resource allocation, risk management, and delivery tracking.
- Proven ability to manage multiple projects, competing priorities, and complex dependencies.
- Experience mentoring project managers and building high-performing delivery teams.
- Strong analytical thinking, structured problem-solving, and decision-making under pressure.
- Proficiency in project management tools such as Jira, Asana, or MS Project.
- Certifications such as PMP, Scrum Master, or equivalent are an advantage.
- Experience in AI-led customer experience, CRM, conversational AI, automation, consulting, or enterprise SaaS platforms is preferred.
- A strong ownership mindset with a focus on customer success, delivery excellence, and measurable business impact.
Similar Jobs
Cloud • Software
Lead end-to-end delivery of complex, multi-cloud enterprise Salesforce implementations using Agile/SAFe. Own program P&L, executive stakeholder alignment, AI-enabled delivery, governance, portfolio roadmaps, global resource orchestration, and quality standards.
Top Skills:
AgentforceAzure Devops (Ado)ClaudeCursorExperience CloudGoogle WorkspaceIndustry CloudsJIRALlms (GeminiMs ProjectMulesoftNotebooklm)Sales CloudSalesforceSalesforce Data CloudService CloudSmartsheet
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Manages strategic relationships with banks and financial institutions, develops account growth plans, identifies new business and revenue opportunities, and aligns Mastercard payment solutions with customer priorities. Leads customer engagements, commercial proposals, negotiations, go-to-market initiatives, and cross-functional delivery across payments, cards, digital banking, and value-added services. Tracks account performance, pipeline, revenue contribution, and strategic project execution while influencing senior stakeholders and driving portfolio expansion.
Top Skills:
Card AcquiringCard IssuanceCommercial Payment SolutionsDigital PaymentsEmerging Payment TechnologiesPayment Acceptance
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Cybersecurity • Data Privacy
Build, design, test, deploy, maintain, and improve software for SaaS and cloud environments. Apply distributed systems and cloud expertise while managing project priorities, deadlines, and deliverables. Collaborate independently and with teams on complex, time-sensitive projects, using software engineering principles, design patterns, and SDLC methodologies. The role involves developing scalable software with programming languages such as Go, Java, C/C++, Scala, or Python, with cloud, containerization, and Kubernetes experience preferred.
Top Skills:
AWSAzureCC++ContainersDockerGoGoogle Cloud PlatformJavaKubernetesMicroservicesPythonScalaSdlc
What you need to know about the Bengaluru Tech Scene
Dubbed the "Silicon Valley of India," Bengaluru has emerged as the nation's leading hub for information technology and a go-to destination for startups. Home to tech giants like ISRO, Infosys, Wipro and HAL, the city attracts and cultivates a rich pool of tech talent, supported by numerous educational and research institutions including the Indian Institute of Science, Bangalore Institute of Technology, and the International Institute of Information Technology.
