AI Technical Project Manager

BharatGen; Mumbai; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

BharatGen is seeking a Technical Project Manager to orchestrate complex multi-stakeholder initiatives across research, development, deployment, and partnerships. You will translate technical requirements into actionable plans, manage scope, timelines, and budgets, and drive risk mitigation through proactive governance.

The role emphasizes AI/ML project delivery in dynamic environments and strong stakeholder engagement.

Qualifications

• 7+ years of project management experience, including 4+ years in tech/R&D.
• Experience with Generative AI/LLMs and multilingual NLP workflows.
• Proficiency in Agile/Waterfall/hybrid methodologies; PMP/CSM/PRINCE2 preferred.

Responsibilities

• Define scope, objectives, milestones with technical leads.
• Develop project plans, timelines, and resource allocation strategies.
• Establish clear deliverables, dependencies, and critical path items.
• Set up real-time dashboards and KPI tracking using Jira/Asana/MMS or similar.
• Monitor project health: budget, timeline, resources, scope, quality.
• Generate status reports with variance analysis and trend identification.

Skills

Multi-stakeholder

Cross-functional lead

Budget management

Risk management

Communication skills

Education

Bachelor’s or Master’s degree

Tools

Jira

Asana

Monday.com

MS Project

Job description

The Technical Project Manager (TPM) orchestrates complex, multi-stakeholder initiatives across research, development, deployment, and ecosystem partnerships. You’ll bridge technical teams, academia, government partners, and commercial stakeholders—ensuring projects deliver on scope, timeline, and quality while proactively identifying risks and driving continuous improvement.

Key Responsibilities:

• - Define scope, objectives, milestones, and success metrics with technical leads
• - Develop comprehensive project plans, timelines, and resource allocation strategies
• - Establish clear deliverables, dependencies, and critical path items
• - Set up real-time dashboards and KPI tracking using project management tools (Jira, Asana)
• - Monitor project health: budget, timeline, resources, scope, quality
• - Generate status reports with variance analysis and trend identification
• - Track blockers, dependencies, and risks with proactive resolution
• - Identify potential risks early through stakeholder engagement
• - Maintain risk registers and develop mitigation/contingency plans
• - Escalate critical issues with context, severity, and recommended solutions
• - Drive continuous improvement through retrospectives
• - Act as single point of contact for cross-functional teams and external partners
• - Facilitate collaboration between researchers, engineers, DevOps, data teams, and business units
• - Manage competing priorities and negotiate resource allocation
• - Maintain transparency through consistent communication
• - Conduct process audits to identify inefficiencies and bottlenecks
• - Analyze root causes of delays; recommend improvements
• - Identify resource gaps (skills, tools, infrastructure)
• - Drive adoption of best practices across teams
• - Create automated reporting systems (burn-down charts, velocity reports, forecasts)
• - Develop data-driven recommendations for stakeholders
• - Customize reporting by audience (technical teams vs. leadership)

Minimum Qualifications and Experience:

• • Bachelor’s or Master’s degree with 7+ years of project management experience, with 4+ years managing technical/R&D projects with exposure to Generative AI/LLMs, Indian-language or multilingual NLP, government-funded or PPP projects, and academic research workflows.

Required Expertise:

• • Proven track record with multi-stakeholder initiatives
• • Expertise in Agile/Waterfall/hybrid methodology (PMP, CSM, or PRINCE2 certification preferred)
• • Proficiency with tools such as Jira, Asana, Monday.com, or MS Project
• • Strong cross-functional team management (engineers, researchers, external partners)
• • Working knowledge of software development lifecycle (SDLC)
• • Familiarity with AI/ML project workflows and research timelines (preferred)
• • Ability to translate technical requirements into project plans
• • Proficiency in data analysis tools: Excel, Google Sheets, Tableau, Power BI
• • Comfortable working with command-line tools, APIs, and basic Git
• • Excellent communication skills with the ability to articulate complex concepts to diverse audiences
• • Proactive problem-solving with early issue identification and solution-oriented escalation
• • Strong stakeholder management skills, including navigating competing priorities and building consensus
• • Strong attention to detail in maintaining documentation and compliance requirements
• • Leadership presence with the ability to drive accountability without formal authority