Head of Project Management
Smartly PhilippinesEst. Est. PHP 1,200,000–2,000,000 / yearLead
Estimated range based on role, country and industry — not published by the company.
Key requirements
- Project Management
- Risk Management
What You’ll Do
As the Head of Project Management for North America, you will lead the regional Project Management and SaaS function responsible for delivering high-impact digital advertising campaigns and implementations at scale.
You will oversee the team responsible for end-to-end project delivery, from initial scoping and briefing through production, QA, launch, and reporting. You will lead Project Managers, SaaS specialists, and Creative Delivery Managers, establish operational standards, drive cross-functional alignment, and ensure the team delivers projects on time, at quality, and in line with client and business expectations.
You will thrive in this role if you are an experienced delivery leader who can operate strategically while staying close to execution. You are comfortable managing complex implementations, resolving escalations, improving workflows, adopting new technologies, and building high-performing teams in a fast-paced, collaborative environment.
In this role, you will:
Lead and manage the NAM Project Management and SaaS function, including team structure, capacity planning, performance management, and career development
Own the end-to-end delivery strategy for NAM implementations and campaign launches across creative, media, production, QA, and client-facing workstreams
Oversee multiple implementation pods and ensure consistent delivery standards across projects, clients, platforms, and teams
Establish and maintain operating models, workflows, standard operating procedures, SLAs, governance frameworks, and escalation paths
Drive resource planning and allocation to ensure appropriate coverage, capacity, and efficient utilization across the portfolio
Partner closely with Customer Success, Production, Creative, Media, QA, Product, Engineering, and other global stakeholders to ensure successful delivery
Provide leadership on complex, high-value, or high-risk implementations, including executive escalations, recovery plans, and client communications
Ensure project risks, dependencies, delays, and scope changes are identified early, clearly communicated, and actively managed
Establish effective project governance, including regular status reviews, operational reporting, health checks, and performance tracking
Ensure teams maintain strong project controls, including timelines, milestones, ownership, documentation, quality checks, and change management
Improve implementation efficiency by identifying process gaps, reducing operational friction, and driving automation and standardization
Lead the adoption of AI-enabled workflows and automation to improve project planning, delivery speed, quality, forecasting, reporting, and team efficiency
Identify practical opportunities to use AI in areas such as risk detection, resource planning, quality assurance, documentation, reporting, and stakeholder communication
Partner with the Devs, Product, Engineering, and Operations teams to evaluate, pilot, and scale processes and AI/automation solutions that improve campaign delivery
Establish appropriate governance and quality controls for AI-enabled workflows, including data privacy, accuracy, security, and human oversight
Drive team adoption of new tools and technologies through enablement, documentation, best-practice sharing, and change management
Partner with CSs and commercial teams during the pre-sales and scoping process, as required, to validate feasibility, effort, timelines, dependencies, and resource requirements
Ensure proposed creative and media strategies can be implemented effectively within platform, operational, and technical constraints
Support the delivery of client-facing plans, timelines, SLAs, and implementation frameworks.
Build strong relationships with senior stakeholders and serve as an escalation point for delivery-related concerns
Use delivery data, operational metrics, and AI-supported insights to improve forecasting, team productivity, quality, cl
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