Technical Project Manager

Role Summary (#immediatejoinerspreferred)

We are looking for a Technical Project Manager to lead planning, governance, execution tracking, and engineering coordination for a large-scale cloud modernization program for a leading North American bank. The role requires a blend of project management, technical understanding, stakeholder management, and data-driven reporting, with a strong focus on leveraging GenAI tools to improve engineering productivity and delivery visibility.

Key Responsibilities

• Own end-to-end project planning, scheduling, and execution tracking across multiple cloud migration workstreams.
• Hands-on expertise in .NET-based application development with the ability to collaborate closely with architects, developers, and stakeholders to deliver business solutions.
• Create and maintain integrated project plans, milestones, dependencies, RAID logs, and delivery dashboards.
• Coordinate daily with Engineering Managers, Technical Leads, Architects, QE Leads, and Product Owners to ensure execution remains on track.
• Track progress across multiple scope buckets and proactively identify risks, bottlenecks, and dependencies.
• Prepare weekly executive status reports, governance packs, KPIs, and steering committee updates.
• Facilitate sprint planning, backlog reviews, delivery reviews, and cross-team synchronization meetings.
• Monitor engineering health metrics including delivery velocity, milestone adherence, defect trends, and release readiness.
• Drive action-item closure and follow-up across distributed onsite/offshore teams.
• Support estimation, capacity planning, resource forecasting, and release planning.
• Promote data-driven decision making through dashboards and actionable insights.

GenAI & Engineering Productivity

• Track GenAI adoption and productivity metrics across engineering teams.
• Monitor Copilot/Agent usage, check-ins, code generation, and engineering productivity trends.
• Publish dashboards highlighting automation gains, engineering efficiencies, and adoption KPIs.
• Coordinate with Engineering Excellence teams to improve delivery effectiveness using AI-assisted development practices.
• Identify opportunities to automate project reporting and governance using GenAI tools.