PUNE · FULLTIME
Program Manager
eClerx
Pune · onsite · Posted 1d ago
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Undisclosed15–20 yrsfulltimePune
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Section · 01
About this role
We are looking for an experienced AI Delivery Lead to drive large-scale AI transformation programs across enterprise clients. This leadership role requires a strong blend of technical expertise, delivery excellence, program management, and stakeholder engagement. The ideal candidate will have extensive experience delivering enterprise AI solutions, including Agentic AI, Generative AI, Machine Learning, and AI/ML platforms, while managing global teams and complex client engagements.
The candidate should be a techno-functional leader capable of translating business objectives into scalable AI solutions and ensuring successful program execution from strategy through implementation.
Key Responsibilities
- Lead end-to-end delivery of large-scale AI, Generative AI, Agentic AI, and Machine Learning programs.
- Define delivery strategy, execution roadmap, governance, and operating models for enterprise AI initiatives.
- Partner with business stakeholders to understand strategic objectives and translate them into scalable AI solutions.
- Drive multiple concurrent AI transformation programs, ensuring timely delivery, quality, and customer satisfaction.
- Lead cross-functional teams comprising Architects, Data Scientists, AI Engineers, ML Engineers, Data Engineers, and Product teams.
- Establish delivery governance, risk management, resource planning, budgeting, and program reporting.
- Drive adoption of AI best practices, Responsible AI principles, and enterprise AI governance.
- Collaborate with Sales, Presales, and Solution teams to support proposals, solution design, and client presentations.
- Mentor delivery managers and technical leaders while building high-performing AI delivery teams.
- Stay current with emerging AI technologies and identify opportunities to accelerate business transformation.
Required Skills & Experience
- 16+ years of experience in Technology Delivery, Digital Transformation, or Enterprise Program Delivery.
- Proven experience managing large-scale AI/GenAI transformation programs for enterprise clients.
- Strong understanding of Agentic AI, Generative AI, Machine Learning, Deep Learning, NLP, LLMs, and AI automation.
- Experience delivering AI solutions on cloud platforms such as Azure, AWS, or Google Cloud Platform (GCP).
- Strong knowledge of AI architecture, MLOps, data engineering, and enterprise integration.
- Experience managing distributed global delivery teams and multiple client engagements.
- Excellent stakeholder management with CXO-level client interaction.
- Strong financial management, delivery governance, and program management expertise.
- Experience working in Agile and hybrid delivery environments.
Preferred Qualifications
- Experience leading AI Centers of Excellence (CoE) or AI practice teams.
- Exposure to Agentic AI frameworks, RAG architectures, AI orchestration, and enterprise LLM platforms.
- Knowledge of Responsible AI, AI governance, and regulatory compliance.
- MBA or relevant leadership certifications are an added advantage.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Section · 02
Skills
AutomationAgilecloud platformsai frameworksamazon web servicesai technologiesai automationclient presentationsai governanceconcurrentcloudBusiness TransformationArchitectureBudgetingcomplianceAi SolutionsMicrosoft AzureArtificial Intelligence
Section · Company
About eClerx
eClerx
IT Services & Consulting
12.2k+
employees
2000
26 years old
Mumbai, Maharashtra
India
About
A Process Management Firm specializing in analytics, data-driven insights, and smart automation serving financial services, telco, retail, fashion, media & entertainment, manufacturing, and tech.
Industries
IT Services & Consulting
Employee ratings
6,313 reviews
3.1/ 5
Culture
2.9
Career growth
2.4
Work-life
3.0
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