Technical Project Manager

Straive; Chennai; Presencial; INR 1.800.000 - 3.200.000; Jornada completa

Descripción de la vacante

Straive is hiring a Technical Project Manager to lead AI initiatives across data science, engineering, and product teams. You will oversee end-to-end lifecycle from planning through deployment, ensuring alignment with business goals and technical feasibility.

The role requires strong Agile/Scrum practice, experience with AI/ML lifecycles, and proficiency in Python and API docs. Excellent communication with leadership and stakeholders is essential as projects scale.

Formación

• Experience delivering AI/ML projects in an enterprise setting.
• Proven ability to manage end-to-end project lifecycles and cross-functional teams.
• Strong communication skills for stakeholders and leadership.

Responsabilidades

• Define project scope and AI milestones including data prep, training, evaluation, and deployment.
• Coordinate across data science, backend engineering, and product teams to ensure feasibility and alignment.
• Translate AI tech details into clear progress reports for leaders.
• Manage budgets and risk, anticipating data dependencies and non-deterministic outcomes.

Conocimientos

Agile/Scrum

AI/ML concepts

Python

Educación

Bachelor’s or Master’s in CS/Engineering/Management

PMP/CSM/Prince2 certs preferred

Herramientas

Jira

Confluence

Azure DevOps

Descripción del empleo

Job Overview:

Job Level - Manager

We are seeking a results-oriented Technical Project Manager to lead our most ambitious AI initiatives. In this role, you will be responsible for managing the end-to-end project lifecycle, ensuring that our cutting-edge innovations translate into impactful business solutions. You will bridge the gap between business stakeholders and our technical data science and engineering teams, driving projects from conceptualization to deployment.

Key Responsibilities

• Project Planning & AI Lifecycle Management: Define project scope and manage AI-specific milestones, including data preparation, model training/evaluation, and production deployment.
• Cross-Functional Coordination: Facilitate collaboration between data scientists, backend engineers, and product owners to ensure technical feasibility and business alignment.
• Stakeholder Communication: Serve as the primary point of contact, translating complex AI technicalities into clear progress reports and strategic updates for leadership.
• Budget & Risk Management: Identify potential technical hurdles or data dependencies early; manage project budgets and develop mitigation strategies for non-deterministic AI outcomes.

Required Technical Skills

• Project Management Frameworks: Expert proficiency in Agile/Scrum methodologies and tools like Jira, Confluence, or Azure DevOps.
• AI/ML Concepts: Strong conceptual understanding of LLM lifecycles, Retrieval-Augmented Generation (RAG), and data engineering requirements.
• Technical Familiarity: Ability to navigate Python-based environments and understand API documentation (e.g., FastAPI) to better manage developer timelines.

Leadership & Soft Skills

• Stakeholder Management: Exceptional ability to manage expectations and align diverse teams toward unified project goals.
• Team Leadership: Proven track record of leading technical teams and fostering a high-performance culture.
• Communication: Ability to translate complex technical AI concepts into clear business objectives for non-technical stakeholders.
• Agile Mindset: Experienced in working within Agile/Scrum frameworks, managing sprint deliverables, and adapting rapidly to evolving AI technologies.
• Perform project closure activities, including final reporting, lesson learned documentation, and archiving of project materials.

Education & Qualifications

• Bachelors or Masters degree in Computer Science, Engineering, or a Management field.
• Relevant professional certifications such as PMP, CSM, or Prince2 are highly preferred, along with experience in AI/ML project delivery.