Project Manager (RPA & AI Delivery)

Accountabilities:

• • Lead projects through the complete lifecycle, from initiation and planning through delivery, deployment, hypercare, and closure, ensuring scope, timelines, budget, quality, and deliverables remain on track.
  • Develop project plans, schedules, milestones, roadmaps, resource requirements, and delivery strategies while coordinating dependencies across multiple workstreams.
  • Serve as the primary client contact during project execution, leading kick-offs, status meetings, steering committees, executive presentations, and escalation management.
  • Coordinate cross-functional teams including solution architects, developers, business analysts, QA professionals, delivery managers, and business stakeholders.
  • Monitor project health, KPIs, milestones, dependencies, risks, assumptions, and issues, maintaining RAID logs and proactively implementing mitigation plans.
  • Prepare weekly status reports, executive dashboards, project health reports, governance documentation, and leadership updates in accordance with PMO standards.
  • Manage project budgets, effort utilization, burn rates, forecasts, resource productivity, change requests, and scope adjustments.
  • Facilitate Agile ceremonies where applicable, including sprint planning, stand-ups, reviews, and retrospectives, while supporting UAT, production deployment, and hypercare activities.
  • Drive continuous improvement across delivery processes, quality standards, governance practices, and project execution.
  • Manage vendors, stakeholders, and customer expectations while resolving conflicts, escalations, and delivery challenges effectively.
  • Support automation and digital transformation initiatives by applying an understanding of RPA, AI, APIs, cloud platforms, enterprise applications, and software development lifecycles.
  • Measure project success through delivery timeliness, customer satisfaction, budget adherence, resource utilization, quality, risk resolution, governance compliance, and stakeholder engagement.

  Requirements:

  • 4–6 years of experience in IT Project Management, preferably managing software implementation, digital transformation, RPA, AI, automation, or enterprise technology projects.
  • Bachelor's degree in Engineering, Computer Science, Information Technology, or a related field; an MBA or equivalent master's degree is preferred.
  • Proven experience managing projects end to end, including planning, scheduling, scope, budget, resources, risks, issues, dependencies, change management, governance, and delivery.
  • Strong understanding of SDLC and practical knowledge of Agile, Scrum, and Waterfall methodologies.
  • Exposure to RPA, Intelligent Automation, AI, Generative AI, or digital transformation projects; experience with UiPath, Automation Anywhere, Blue Prism, or Microsoft Power Automate is an advantage.
  • Basic understanding of APIs, SQL, cloud platforms, enterprise applications, and business process automation concepts.
  • Experience working with project management and collaboration tools such as Microsoft Project, Jira, Azure DevOps, ClickUp, Monday.com, Trello, or Asana.
  • Strong proficiency in Microsoft Excel, PowerPoint, Word, Teams, and SharePoint.
  • Experience working with global customers and managing multiple concurrent projects in a fast-paced environment.
  • Strong client-facing communication, presentation, negotiation, and stakeholder management skills, with the ability to engage effectively with senior leadership.
  • Excellent analytical, organizational, problem-solving, decision-making, and conflict-resolution abilities.
  • Strong leadership, prioritization, time management, adaptability, ownership, and accountability.
  • PMP, PRINCE2, Certified ScrumMaster (CSM), Professional Scrum Master (PSM), PMI-ACP, or other Agile certifications are preferred.

  Benefits:

  • Full-time employment.
  • 100% remote work model.
  • Opportunity to work on RPA, AI, Intelligent Automation, and digital transformation projects.
  • Exposure to global customers and multidisciplinary technology teams.
  • Opportunity to work with emerging automation and AI technologies.
  • Professional growth through involvement in complex, high-impact projects.
  • Collaborative environment with structured PMO governance and delivery practices.
  • Opportunities to develop expertise across Agile delivery, project governance, automation, and digital transformation.