Project Manager

2 weeks ago

hyderabad district, India AutomatonsX Full time

Project Manager – Data & AI Location: Hyderabad (Onsite) Work Arrangement: Onsite/Hybrid/Remote (as applicable) Experience Level: 5+ years (with at least 3–4 years managing Data/AI projects) Role Summary: We are seeking a highly skilled Project Manager – Data & AI to lead the execution of data-driven and AI/ML initiatives across the organization. The candidate will be responsible for end-to-end project delivery, stakeholder management, and ensuring AI/ML solutions are implemented successfully to drive measurable business outcomes. Key Responsibilities: Project Management & Delivery Manage the end-to-end lifecycle of Data & AI projects, including planning, execution, monitoring, and closure. Define project scope, timelines, budgets, and deliverables while ensuring alignment with business goals. Drive adoption of Agile/DevOps methodologies for faster, iterative AI/ML project execution. Stakeholder Management Collaborate with business stakeholders, data scientists, AI engineers, and product managers to define requirements. Act as a bridge between technical teams and business units, translating complex AI/ML concepts into business terms. Provide regular updates to leadership on progress, risks, and mitigation strategies. Data & AI Solution Delivery Oversee the development, testing, deployment, and monitoring of AI/ML models and data pipelines. Ensure compliance with data governance, privacy, and ethical AI guidelines. Evaluate third-party AI tools, cloud solutions, and platforms (Azure, AWS, GCP, Databricks, etc.) for project suitability. Risk & Quality Management Identify risks early and develop mitigation plans to avoid project delays. Ensure quality standards for data accuracy, AI model performance, and scalability are met. Conduct project retrospectives and implement lessons learned to improve future delivery. Team Leadership & Collaboration Lead cross-functional teams of data engineers, AI/ML engineers, analysts, and business stakeholders. Mentor and guide team members in best practices for data-driven project execution. Foster a culture of innovation and continuous improvement. Required Skills & Qualifications: Education: Bachelor’s/Master’s in Computer Science, Data Science, AI/ML, or related field. Project Management: Proven experience managing large-scale Data & AI projects using Agile/Scrum methodologies. Technical Understanding: Knowledge of data engineering, data analytics, and machine learning workflows. Familiarity with tools such as Databricks, Azure AI, AWS Sagemaker, GCP Vertex AI, Power BI, or Tableau . Understanding of MLOps, RAG (Retrieval-Augmented Generation), and Generative AI concepts. Certifications (preferred): PMP, PRINCE2, Agile/Scrum Master, or Cloud certifications (Azure/AWS/GCP). Soft Skills: Strong communication, stakeholder management, analytical thinking, and problem-solving skills.

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