Project Manager – Data & AI

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 :