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Salary
≈ $22k – $60k per year (Estimated)
Location
In office (Pune)
Seniority
Staff · 5+ years exp

First seen by Alion on Oct 22, 2026.

Overview
Company
Impact
Profile match
Aventior builds GenAI and Agentic AI platforms that automate workflows, structure enterprise data, and accelerate critical decisions in life sciences industries.

Job Description:

Aventior is looking for a Team Lead AI to manage customer-facing AI and analytics engagements from initial discovery through project delivery and ongoing improvement. The role focuses on understanding business requirements, coordinating cross-functional teams, managing client relationships, and ensuring AI initiatives deliver measurable business outcomes.

The ideal candidate should have strong project coordination, stakeholder management, and team leadership skills, along with a working understanding of AI/ML and Generative AI concepts. This role emphasizes business alignment and delivery management rather than hands-on AI development.

Key Responsibilities:

- Lead customer discovery sessions, stakeholder meetings, and workshops to understand business goals, requirements, challenges, and expected outcomes.

- Translate business needs into clear project requirements, deliverables, acceptance criteria, priorities, and measurable success metrics.

- Coordinate with AI engineers, data scientists, data engineers, software developers, QA, DevOps, and business teams to ensure smooth project execution.

- Manage project plans, timelines, milestones, resource allocation, dependencies, and delivery commitments.

- Serve as a key point of contact for customers, maintaining clear communication and managing expectations throughout the engagement.

- Coordinate proof-of-concept demonstrations, project reviews, user acceptance testing, customer feedback, and final sign-off.

- Track project progress, identify risks and blockers, maintain action logs, and escalate issues with appropriate mitigation plans.

- Work with technical teams to assess project feasibility and communicate solution options, limitations, costs, and business implications to stakeholders.

- Monitor delivery quality and agreed business KPIs to ensure projects meet customer expectations and business objectives.

- Support backlog prioritization, sprint planning, and coordination of deliverables in Agile project environments.

- Lead, mentor, and support team members through work allocation, feedback, performance discussions, and knowledge sharing.

- Coordinate with leadership on resource requirements, project priorities, and delivery planning.

- Ensure appropriate documentation, data governance, privacy, security, and responsible AI considerations are addressed.

- Gather post-launch feedback, identify improvement opportunities, and support continuous enhancement of project delivery processes.

Required Skills and Qualifications:

- 5-7 years of relevant experience in AI/ML projects, data science, technology delivery, analytics, or a related field.

- Minimum 2 years of team leadership, project leadership, or workstream management experience.

- Experience in customer-facing or stakeholder-facing roles, including requirement gathering and expectation management.

- Strong understanding of project planning, scope management, resource coordination, risk management, and delivery tracking.

- Ability to translate business requirements into clear project plans, deliverables, and measurable KPIs.

- Working knowledge of AI/ML, Generative AI, LLMs, and RAG concepts to facilitate discussions with technical teams and customers.

- Experience coordinating cross-functional teams and managing multiple priorities and dependencies.

- Strong communication, presentation, documentation, facilitation, and problem-solving skills.

- Ability to manage stakeholder expectations, resolve delivery challenges, and maintain project alignment.

Preferred Qualifications:

- Experience in consulting, professional services, or multi-client project delivery.

- Familiarity with Agile methodologies, Scrum, sprint planning, and project tracking tools.

- Exposure to AI project lifecycles, cloud-based solutions, data governance, and responsible AI practices.

- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Business, or a related field; equivalent practical experience may be considered.

Skills

AI Product Management, Artificial Intelligence, Agile, AI Project Management, AI Program Management

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