Project Manager – Data

2 weeks ago

Greater Hyderabad Area, India AutomatonsX Full time ₹ 12,00,000 - ₹ 24,00,000 per year

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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