Technical Project Manager

Job Summary:

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 stakeholdersensuring projects deliver on scope, timeline, and quality while proactively identifying risks and driving continuous improvement.

Key Responsibilities:

Project Planning & Execution

- 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

Project Monitoring & Control

- 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

Risk & Issue Management

- 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

Stakeholder Coordination

- 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

Gap Identification & Process Improvement

- 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

Reporting

- 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