Description

We are seeking a dynamic and experienced Project Manager to lead cross-functional teams working on Data and AI/ML initiatives. This role involves managing end-to-end project delivery, coordinating with internal technical teams (Data Engineering, Data Science, ML Engineering), and engaging with client stakeholders to align business goals with technical execution.

Key Responsibilities:

🔹 Project & Delivery Management:

  • Manage and track delivery of AI/ML and data engineering projects across all phases (initiation to closure).
  • Define project scope, objectives, timelines, and resource needs.
  • Identify risks and proactively drive mitigation strategies.
  • Ensure high-quality, timely delivery of all project milestones.
  • Monitor project budgets and optimize delivery costs.

🔹 Client & Stakeholder Communication:

  • Serve as the primary point of contact for client stakeholders.
  • Conduct regular status updates, reviews, and governance meetings.
  • Translate business requirements into clear deliverables for technical teams.
  • Manage client expectations, feedback, and escalations effectively.

🔹 Team & Collaboration:

  • Work closely with Data Engineers, Data Scientists, MLOps Engineers, and Analysts.
  • Facilitate collaboration across functions (e.g., DevOps, QA, Product).
  • Support team members in prioritizing tasks and removing roadblocks.
  • Mentor and guide junior project managers or coordinators if applicable.

🔹 Documentation & Reporting:

  • Maintain comprehensive project documentation including charters, timelines, risks, and dependencies.
  • Provide clear dashboards and reports to leadership and clients.

Required Skills & Experience:

  • 8+ years of project management experience, with at least 3 years in Data, AI/ML, or Analytics projects.
  • Strong knowledge of project management tools (e.g., JIRA, MS Project, Confluence, Smartsheet).
  • Proven experience working in Agile/Scrum methodologies.
  • Excellent client-facing and communication skills.
  • Understanding of data platforms, ML lifecycle, and cloud-based solutions (AWS, Azure, GCP).
  • Ability to collaborate with highly technical teams and translate between business and tech.

Preferred Qualifications:

  • PMP, CSM, or equivalent certification.
  • Exposure to MLOps practices and DataOps workflows.
  • Experience managing globally distributed teams

Education

Bachelor's degree