Senior Project Manager

Esds Software Solutions; Nashik District; Vor Ort; INR 4.000.000 - 7.000.000; Vollzeit

Zusammenfassung

Esds Software Solutions is seeking a Senior Project & Delivery Manager Cloud, AI & Managed Services to lead enterprise-grade IT projects across cloud migration, AI-enabled operations, and managed services engagements. The role requires handling multiple workstreams, diverse tech stacks, and commercial requirements.

You will drive end-to-end project execution, governance, and client relationships while ensuring on-time delivery, budget adherence, and continuous service improvements across

Qualifikationen

• Bachelor's degree in Engineering/IT/CS required.
• PMP or PRINCE2 Practitioner certification preferred.
• ITIL certification is advantageous.

Aufgaben

• Own end-to-end delivery of complex IT projects including cloud migration & modernization.
• Manage multiple concurrent projects with scope, schedule, budget, quality, and acceptance criteria.
• Develop integrated delivery plans, forecasts, baselines, risk mitigation, and governance.

Kenntnisse

End-to-end project management

Cloud delivery

Stakeholder management

Financial governance

Team leadership

AI/GenAI awareness

FinOps

Risk management

Ausbildung

Bachelor's degree in Engineering/IT/CS

PMP or PRINCE2 Practitioner

ITIL certification

Jobbeschreibung

Job Title: Senior Project & Delivery Manager Cloud, AI & Managed Services

Experience: 8–14 years

Role Overview

We are seeking an experienced Senior Project & Delivery Manager to lead complex technology projects, cloud transformation initiatives, AI-enabled operational improvement, and ongoing managed services engagements for enterprise customers across multiple industry verticals.

The role combines end-to-end project and program execution with service delivery governance, customer relationship management, financial performance, operational excellence, and team leadership.

The successful candidate will have a proven track record of managing multiple projects, workstreams, or customer engagements with varying technology stacks, delivery models, team sizes, and commercial requirements.

Key Responsibilities

1. Project and Program Delivery

• Own end-to-end delivery of complex IT projects, cloud migration and modernization initiatives, infrastructure transformation, cybersecurity implementations, and service onboarding.
• Manage multiple concurrent projects or workstreams, ensuring delivery against contractual scope, schedule, budget, quality, and acceptance criteria.
• Develop integrated delivery plans, resource forecasts, financial baselines, risk mitigation strategies, and governance mechanisms.
• Lead project reviews, steering committee meetings, dependency management, change control, and escalation resolution.
• Establish recovery plans for at-risk projects and drive corrective actions to successful completion.

2. Cloud Transformation and Modernization

• Lead delivery governance for AWS, Microsoft Azure, Google Cloud, hybrid cloud, multi-cloud, data centre migration, and infrastructure modernization engagements.
• Coordinate cloud architects, engineering teams, security specialists, operations, and third-party providers.
• Govern migration waves, workload dependencies, cutover readiness, testing, disaster recovery, security requirements, and transition into production.
• Monitor delivery risks, resource requirements, cloud implementation costs, and transformation milestones.
• Drive cloud cost optimization and FinOps initiatives in partnership with technical and finance teams.

3. AI, GenAI, AIOps and Automation

• Identify and govern AI-enabled transformation and operational improvement initiatives across projects and managed services.
• Lead delivery of initiatives such as intelligent incident management, alert correlation, automated root-cause analysis support, GenAI knowledge assistants, service desk copilots, and workflow automation.
• Work with AI/ML, cloud, data, security, and operations teams to define delivery scope, dependencies, milestones, and acceptance criteria.
• Establish measurable benefits such as reduced manual effort, improved MTTR, lower recurring incident volumes, improved productivity, and better customer experience.
• Govern pilot-to-production readiness, testing, integration, user adoption, operational support, and benefits realization.
• Ensure appropriate oversight of data security, privacy, model accuracy, reliability, cost, and responsible AI requirements.

4. Managed Services and Service Delivery

• Own service performance for assigned customers, accounts, or technology towers, including SLAs, KPIs, service quality, and contractual commitments.
• Monitor incidents, major problems, change execution, availability, service backlogs, capacity, and operational risks.
• Lead service reviews, customer escalations, major incident governance, root-cause analysis, and service improvement plans.
• Ensure effective transition from project delivery into steady-state managed services, including operational readiness and support ownership.
• Drive automation, standardization, proactive problem management, service analytics, and continual service improvement.

5. Customer and Executive Stakeholder Management

• Build strong relationships with customer IT leadership, project sponsors, service owners, procurement, and business stakeholders.
• Lead customer governance, executive reviews, project steering committees, and service performance discussions.
• Manage escalations, delivery recovery, expectation setting, and stakeholder alignment.
• Communicate project health, financial exposure, delivery risks, decisions required, and improvement opportunities.
• Identify opportunities for legitimate service expansion, transformation programs, and improved customer outcomes.

6. Financial and Commercial Ownership

• Own or govern project budgets, delivery cost forecasts, effort estimates, resource utilization, and milestone-based billing.
• Monitor service delivery economics, including cost efficiency, gross margins, forecast accuracy, and profitability within the assigned accountability.
• Review SOWs, change requests, scope variations, contractual obligations, and commercial risks.
• Partner with Sales, Presales, Finance, Procurement, and Legal teams on estimation, solution validation, delivery mobilization, renewals, and scope expansion.
• Drive productivity, automation, cloud cost optimization and resource-efficiency improvements.

7. People Leadership and Delivery Excellence

• Lead cross-functional project teams, service leads, technical managers, vendors, and geographically distributed delivery teams.
• Manage resource planning, capacity, utilization, skill development, and performance accountability.
• Mentor Project Managers and delivery leads, standardize governance, and improve delivery maturity.
• Drive lessons learned, automation adoption, risk management discipline, and continuous improvement across engagements.

Required Skills and Experience

• 8–14 years of experience in IT services, project management, cloud delivery, infrastructure, or managed services.
• Demonstrated ownership of complex projects, multiple workstreams, or customer‑facing service engagements.
• Strong experience with customer governance, escalations, risk management, project financials, and cross-functional team leadership.
• Practical understanding of cloud migration, hybrid/multi‑cloud environments, infrastructure operations, and service transition.
• Experience with SLAs, KPIs, incident/problem/change management, ITSM, and service improvement.
• Exposure to AI, GenAI, AIOps, automation, or analytics initiatives, preferably including measurable business outcomes.
• Strong commercial understanding of budgets, cost control, forecasting, resource utilization, and margins.
• Excellent executive communication, negotiation, analytical, and decision‑making skills.

Preferred Qualifications

• Bachelor's degree in Engineering, IT, Computer Science, or a related field.
• PMP or PRINCE2 Practitioner certification.
• ITIL certification.
• Relevant AWS, Azure, or Google Cloud certification.
• FinOps, Agile, Scrum, or automation-related credentials where applicable.

Key Performance Indicators

• Delivery of projects within agreed scope, schedule, budget, and quality.
• SLA/KPI achievement, operational stability, and customer satisfaction.
• Successful cloud transformation and project-to-service transition.
• Measurable benefits from AI, AIOps, automation, and service improvement.
• Financial performance, margin protection, utilization, and forecast accuracy.
• Reduction in recurring incidents, manual effort, delivery risk, and avoidable cost.
• Team capability development and sustained customer confidence.