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    Job · 20513456

    BENGALURU · FULLTIME

    Delivery Manager(AI)

    LTM

    LTM

    Bengaluru · hybrid · Posted 13d ago

    Sourced fromNaukri
    Undisclosed15–18 yrsfulltimeBengaluru

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    Section · 01

    About this role

    Job Title: Delivery Manager
    Experience: 15+ Years

    Notice- Immediate to 60 Days
    Location: Bangalore/ 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.

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    Section · 02

    Skills

    AI Delivery ManagerDelivery leadershipDelivery Management

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