Technical Project Manager

Team Leadership & People Management
Build and Mentor the Team: Recruit, onboard, and develop a high-performing team of [e.g., Scrum Masters, Delivery Leads, and Project Managers].
Performance Management: Conduct regular 1-on-1s, performance reviews, and career development planning. Guide your team in setting and achieving professional goals.
Culture Champion: Foster a collaborative, inclusive, and agile-first culture. Promote continuous learning, especially regarding rapidly evolving AI, LLM, and agentic technologies.
Capacity & Allocation: Manage resource allocation across your team, ensuring balanced workloads, preventing burnout, and matching the right skills to the right rollout phases.
Program Delivery & Execution
Lead Agile Delivery: Direct software and agentic AI development efforts across multiple parallel workstreams, ensuring teams deliver value consistently through phase-gated or maturity-staged models.
Manage Dependencies & Blockers: Rigorously track cross-functional dependencies, manage risks, and aggressively unblock engineering and product teams to maintain delivery velocity.
Vendor Management: Oversee mixed internal/vendor delivery models (including managed-service-provider relationships) and manage delivery budgets.
Hold the Quality Gate: Ensure all agentic deployments meet strict quality, performance, and latency standards before release, even under schedule pressure.
Platform Scaling, Rollout & Adoption
Drive Enterprise Rollouts: Manage the pipeline of agent deployments and ensure seamless execution of platform rollouts across global or departmental sites.
Champion User Adoption: Direct large-scale change management initiatives, including demo outreach campaigns, training initiatives, and stakeholder alignment playbooks to maximize active user adoption.
Establish Feedback Loops: Design architectures that systematically capture operational friction from users and translate it into actionable technical features for product and engineering.
Technical Alignment & Governance
AI & Agentic Fluency: Act as a peer to engineering and architecture teams, bringing technical fluency in LLMs, RAG, tool-calling, and multi-agent orchestration.
Enforce AI Governance: Ensure that agent capabilities scale safely by championing strict guardrails, human-in-the-loop (HITL) checkpoints, audit trails, and risk-tiering.
Transparent Reporting: Maintain a strong, risk-forward reporting discipline—surfacing deployment bottlenecks and problems plainly and early to executive stakeholders.

Work arrangement
No