Principal - Program & Project Management
LTIMindtree · Remote
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Employer requisition: 897217
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Collected role description
Job Title: AI Adoption & Observability Delivery Manager Experience: 16-18 Years only Location: Open / Hybrid Employment Type: Full-Time Job Summary We are looking for an experienced AI Adoption & Observability Delivery Manager to lead enterprise AI transformation programs. The role involves managing end-to-end delivery of AI adoption and observability initiatives, ensuring successful implementation, governance, stakeholder alignment, and business value realization. Key Responsibilities Delivery & Program Management Lead end-to-end delivery of AI Adoption and AI Observability programs. Manage multiple enterprise engagements, ensuring timely and quality execution. Drive governance, risk management, milestone tracking, and stakeholder communications. Provide strategic updates and recommendations to client leadership teams. AI Adoption Define and execute AI adoption strategies, change management plans, and user enablement programs. Collaborate with business and technical teams to create AI adoption roadmaps. Establish adoption KPIs, success metrics, and ROI measurement frameworks. Support AI Center of Excellence (CoE) setup, governance, and operating models. AI Observability Design and implement AI/ML observability solutions for model monitoring and operational health. Enable monitoring of model performance, data drift, explainability, and bias detection. Implement observability frameworks using tools such as MLflow, Evidently AI, Arize, WhyLabs, Prometheus, and Grafana. Drive continuous improvement through observability insights and model feedback loops. Leadership & Practice Development 
 
 Lead and mentor delivery managers, consultants, and technical specialists. 
 Support hiring, capability building, and team development initiatives. 
 Contribute to proposals, RFPs, SOWs, and client presentations. 
 Partner with sales and account teams to identify growth opportunities. 
 Represent the practice through workshops, webinars, and thought leadership activities. 
 
 Required Skills & Qualifications 
 
 15+ years of experience in technology consulting, professional services, or enterprise software delivery. 
 8+ years of program or delivery management experience leading large-scale enterprise projects. 
 3+ years of experience in AI/ML, MLOps, AI Adoption, or AI Observability programs. 
 Strong understanding of the AI/ML lifecycle, deployment, monitoring, and governance. 
 Knowledge of cloud AI platforms such as AWS SageMaker, Azure ML, and Google Vertex AI. 
 Familiarity with Kubernetes, Docker, Generative AI deployment patterns, and Responsible AI practices. Experience managing global, cross-functional teams and enterprise stakeholders. Strong communication, leadership, and stakeholder management skills. Proficiency in JIRA, Confluence, MS Project, or similar project management tools. Preferred Qualifications Experience in Professional Services, Consulting, or Systems Integration organizations. Experience managing large enterprise transformation programs. Strong executive presence with the ability to engage C-level stakeholders. Notice Period: Immediate to 60 Days Preferred
Collected experience requirement
16 - 18 Years