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