Project Manager-Data Scientist

Job Summary

We are seeking an experienced Data Science Project Manager to lead end-to-end delivery of data science, machine learning, and advanced analytics projects. The ideal candidate will bridge the gap between business stakeholders and technical teams, ensuring timely, high-quality delivery of data-driven solutions aligned with business objectives.

Key Responsibilities

Project & Delivery Management

• Lead end-to-end delivery of Data Science, Machine Learning, AI, and Analytics projects.
• Define project scope, timelines, milestones, dependencies, and resource plans.
• Manage project execution using Agile/Scrum or Hybrid methodologies.
• Track project progress, risks, issues, and dependencies; implement mitigation plans.
• Ensure on-time, within-scope, and within-budget delivery.

Technical & Data Science Oversight

• Work closely with Data Scientists, Data Engineers, and ML Engineers on:
• Data ingestion, cleaning, and feature engineering
• Model development, validation, and deployment
• ML lifecycle management (MLOps)
• Review and validate technical designs, model approaches, and solution architectures.
• Understand algorithms such as regression, classification, clustering, NLP, time series, and deep learning.
• Ensure model performance, scalability, explainability, and compliance standards.

Stakeholder & Client Management

• Act as the primary point of contact for business stakeholders and clients.
• Translate business requirements into technical deliverables and project plans.
• Present project updates, insights, and results to senior leadership.
• Manage client expectations, change requests, and escalations effectively.

Governance, Quality & Compliance

• Ensure adherence to data governance, security, and compliance standards.
• Drive documentation for requirements, design, models, and delivery artifacts.

Ensure quality checks, validation, and sign-offs at each project phase