Senior Manager- Technical AI project manager

• Work Model: Work from office
• Candidate Expectations
• Total Experience and Relevant Experience: 15+ years of overall IT experience.
• 3+ years of experience managing RPA and/or AI/ML delivery engagements.
• Strong experience in IT project/programme management, with end-to-end delivery ownership rather than application development.
• Candidate Location: Pune / Bengaluru Skills Mandatory: End-to-end IT project management and delivery governance.
• RPA and/or AI/ML solution delivery management.
• Commercial and contractual management, including estimation, SOW, budgeting, pricing, change requests and project financials.
• Client-facing stakeholder management and executive communication.
• Project planning, risk management, resource allocation, quality and SLA management.
• Working knowledge of RPA platforms such as UiPath, Automation Anywhere, Blue Prism and/or Microsoft Power Automate.
• Candidate Industry: Preferred: IT Services / IT Consulting.
• Relevant exposure: Automation, AI/ML, BPM, Finance & Accounting, Customer Service Management, ITIL-based services, GBS/GCC or Captive Shared Services environments.
• Diversity: No specific diversity requirement mentioned in the JD.
• Education and Certification Qualification: Mandatory: BE / B.Tech in Engineering or Technology, MCA or equivalent.
• Good to Have: MBA.
• Certification: Mandatory: No specific certification mandated.
• Good to Have: PMP, PRINCE2, CSM, SAFe Agilist, RPA platform certifications, AWS/Azure/GCP cloud certifications and ITIL certification.

Detailed Job Description JD:

• The Technical Project Manager will lead end-to-end delivery of Robotic Process Automation (RPA) and Artificial Intelligence (AI) engagements, covering project planning, execution, solution delivery oversight, commercial and contractual ownership, financial management, stakeholder governance, risk mitigation and business-value realisation.

Key Responsibilities:

• Project and Delivery Management Manage the complete project lifecycle, including initiation, planning, execution, deployment, hypercare, transition and steady-state support.
• Establish project plans, schedules, work-breakdown structures, milestones and dependency management.
• Drive delivery through Agile/Scrum, SAFe, Waterfall or hybrid methodologies.
• Monitor scope, schedule, cost, quality, resources, risks and SLAs.
• RPA and AI Solution Delivery Oversee automation delivery using relevant RPA platforms.
• Understand process discovery, automation feasibility, PDD, SDD, bot development lifecycle and Automation CoE frameworks.
• Manage AI/ML delivery involving GenAI, LLMs, agentic AI, RAG, NLP, computer vision and intelligent document processing.
• Coordinate with architects, data science and engineering teams on solution design, validation, deployment and model monitoring.
• Ensure responsible AI, data privacy, model governance and regulatory compliance.
• Commercial, Contractual and Financial Management Support proposals, bids, effort estimation, costing and pricing.
• Manage commercial models such as T&M, Fixed Price, outcome-based, consumption-based and managed services.
• Oversee MSAs, SOWs, work orders, acceptance criteria, SLAs and change requests.
• Manage budgets, effort tracking, margins, profitability, invoicing, Accounts Receivable, revenue risk and milestone reporting.
• Drive commercial change control and protect project revenue and margins.
• Track business benefits, ROI, FTE savings, cycle-time improvements and accuracy gains.
• Stakeholder Management Act as the primary point of contact for project-related matters and manage business, IT, procurement and executive stakeholders.
• Conduct weekly and monthly status reviews, steering-committee meetings and quarterly business reviews.
• Manage escalations, RAID logs, stakeholder expectations and project sign-offs.
• Drive customer satisfaction and communicate project outcomes and business value.
• Quality, Risk and People Management Establish quality plans, risk mitigation measures and audit-ready delivery processes.
• Lead project teams, allocate resources, mentor team members and drive competency development.
• Support recruitment, knowledge sharing, asset reuse and continuous improvement.
• Contribute to automation practice initiatives and operational efficiency.

Key Skills Mandatory Key Skills:

• 10+ years of IT experience, including 3+ years managing RPA and/or AI/ML delivery.
• IT Project / Programme Management.
• End-to-end project delivery and governance.
• RPA and/or AI/ML delivery management.
• Commercial and contractual ownership: SOW, estimation, budgeting, change control and project financials.
• Stakeholder management and executive communication.
• Project planning, risk management, resource management and SLA governance.
• Working knowledge of at least one relevant RPA platform.
• Project reporting and governance tools such as MS Project, JIRA and/or Azure DevOps.

Good to Have Skills:

• GenAI, LLMs, agentic AI, RAG, NLP, computer vision and IDP.
• Intelligent automation and hyperautomation at scale.
• Automation CoE setup or management.
• AI/ML lifecycle, MLOps and responsible AI governance.
• Managed services and production-support delivery.
• Agile / Scrum / SAFe certifications and PMP / PRINCE2.
• Cloud platform certifications.
• BPM, Finance & Accounting, Customer Service Management or ITIL exposure.
• Product implementation, requirement gathering, fit-gap analysis, configuration and customisation.
• Other Specific Remarks Additional Requirements: Strong commercial, contractual and financial ownership is essential.
• Candidates must have demonstrable experience managing RPA and/or AI/ML delivery engagements.
• Pure application-development profiles without project/programme management experience are not suitable.
• Experience working with global clients and senior stakeholders is expected.
• Production-support ownership and SLA management are preferred.