Technical Project Manager

MANGO SCIENCES INDIA LLP; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

MANGO SCIENCES INDIA LLP is searching for a visionary Technical Project Manager to lead the development of healthcare data and AI platforms in Bengaluru. The successful candidate will bridge technical execution with business strategy, enhancing healthcare operations and patient outcomes through AI solutions. Candidates must possess a Bachelor's degree in a relevant field and over 5 years of experience in project management. Skills in stakeholder management and Agile methodologies will be essential for success in this role.

Qualifications

• 5+ years of experience in technical project management, focusing on complex software or data services.
• Exceptional stakeholder management and communication skills.
• Domain knowledge in Health Tech, AI/ML, or large-scale data platforms preferred.

Responsibilities

• Lead cross-functional teams through project lifecycle from planning to execution.
• Design and refine Agile processes for efficient delivery of technical milestones.
• Translate technical capabilities into value-driven business outcomes.

Skills

Stakeholder management

Agile methodologies

Technical communication

Data integration

Predictive analytics

Education

Bachelor's degree in Engineering or Computer Science

Tools

Jira

Job description

Technical Project Manager

Reports to: Chief Technology Officer (CTO)

Role Overview:

We are looking for a visionary Technical Project Manager to spearhead the development of our next-generation healthcare data and AI platforms. In this role, you will bridge the gap between complex technical execution and high-level business strategy. You will be responsible for driving Agile workflows, optimizing resource allocation, and ensuring the seamless delivery of AI-powered solutions.

As a key member of our Health Tech team, you will articulate how our technology unlocks data interoperability and generates actionable insights. Your work will directly impact healthcare operations, patient outcomes, and revenue growth for our payer and biopharma partners.

Key Responsibilities:

Technology Project Management:

• End-to-End Execution: Lead cross-functional teams and stakeholders through the full project lifecycle planning, execution, tracking, and performance evaluation for healthcare data and AI products.
• Agile Leadership: Design and refine Agile processes and workflows using Jira and other development tools to ensure the timely and efficient delivery of technical milestones.
• Resource Optimization: Collaborate with team leads and executive management to intake new projects, allocate resources effectively, and track deliverables against key performance indicators (KPIs).

Portfolio Strategy & Roadmap:

• Strategic Alignment: Translate technical and operational capabilities into clear, value-driven business outcomes for executive decision-makers.
• Risk Mitigation: Proactively monitor the health of the project portfolio, identifying potential bottlenecks and implementing mitigation strategies to keep development on track.

Product Advocacy & Demonstrations:

• Technical Storytelling: Deliver tailored product demonstrations that showcase how our AI solutions transform healthcare workflows and executive decision-making.
• Use Case Excellence: Highlight the impact of AI-driven features, including predictive analytics, automated reporting, and intelligent data integration.
• Sales Support: Partner with the commercial team to provide technical expertise and compelling, executive-ready presentations during the sales cycle.

Qualifications:

Education: Bachelors degree in Engineering, Computer Science, or a related technical field.

Experience: 5+ years of proven experience in technical project management, specifically delivering complex software products or data services.

Communication: Exceptional stakeholder management skills with a track record of coordinating delivery across multiple technical and non-technical teams.

Domain Knowledge: Previous experience in Health Tech, AI/ML, or large-scale data platforms is highly preferred.