Technical Project Manager

Technical Project Manager

AI-led Digital Transformation | Manufacturing & Enterprise Solutions | Customer-facing Delivery

Function

Products & Digitization Delivery

Reports to

Delivery Head / Program Manager, with close coordination with the Tech Lead and customer stakeholders

Employment type

Full-time

Location

Cochin (customer site)

Team

NeST Digital

• Own end-to-end delivery of customer projects, from discovery and planning through sprint execution, UAT, pilot releases and go-live, tracking progress against milestones.
• Act as the primary point of contact for customer stakeholders, working closely with business and process owners.
• Lead requirements capture with business users and translate workflows into a prioritised backlog with the Tech Lead.
• Run sprint planning, stand-ups, sprint reviews and customer demos across distributed teams - unblock the team and escalate risks before they become critical.
• Plan and coordinate UAT and pilot rollouts; capture user feedback and measure benefits against the agreed baseline.
• Maintain the RAID log (risks, assumptions, issues, dependencies), publish status reports and prepare Steering Committee updates.
• Manage scope and change control, effort tracking and billing inputs for Time & Material and fixed-price engagements.
• Coordinate dependencies with customer IT and enterprise systems (ERP, CRM), including data access and environment readiness.

• 9+ years managing technical or software delivery projects, with at least 3 years in customer-facing or on-site delivery roles.
• Hands-on Agile / Scrum delivery with distributed engineering teams across multiple locations.
• Experience running Time & Material and fixed-price engagements: effort tracking, billing inputs and change control.
• Ability to work with business process owners and translate workflows into clear requirements and a delivery backlog.
• Strong written and verbal communication - able to translate engineering status into a clear business update for customer leadership.
• Bachelors degree in Engineering, Computer Science, or a related field.

• Domain exposure to manufacturing processes such as engineering, BOM management, sourcing or procurement.
• Prior exposure to AI / ML or document-AI projects (document extraction, data pipelines, LLM-based solutions).
• Familiarity with enterprise landscapes such as ERP (e.g. Microsoft D365, SAP) and CRM.
• Experience with delivery tools such as Azure DevOps or Jira, and Power BI or similar for reporting.
• PMP, PRINCE2, or Scrum certification (CSM / PSM).