Project Manager/Senior Project Manager

Description:

- Project Leadership: Lead the end-to-end delivery of data science, machine learning, and automation projects, from initial concept and data discovery to final deployment and iteration.

- Stakeholder & Customer Management: Serve as the primary point of contact for clients and internal stakeholders, translating business requirements into technical project plans and managing expectations.

- Scope & Schedule Management: Define project scope, create detailed roadmaps, manage timelines, and control budgets to ensure projects are delivered on schedule and within financial constraints.

- Team Handling & Mentorship: Guide, support, and mentor a cross-functional team of data scientists, ML engineers, and data engineers, fostering a highly collaborative and agile work environment.

- Process & Automation Driver: Identify opportunities and drive the automation of data pipelines, model training, and deployment workflows (MLOps) to improve efficiency, scalability, and speed-to-market.

- Risk Management: Proactively identify and mitigate risks related to data quality, model performance, and project dependencies, ensuring smooth execution.

Qualifications and Skills:

- Experience: Proven experience in project management, specifically handling complex data science, AI/ML, or technical automation projects.

- Agile Proficiency: Strong understanding and practical experience with agile methodologies to manage iterative and research-oriented projects.

- Communication: Exceptional communication and interpersonal skills, with the ability to articulate complex technical concepts to non-technical audiences.

Technical Acumen (Bonus):

o Solid understanding of the machine learning project lifecycle.

o Familiarity with core data science tools and languages (e.g., Python, SQL).

o Knowledge of major cloud platforms (AWS, Azure, GCP) and their AI/ML services is a significant plus.