Technical Project Manager

What Will I Be Doing?

• Own end-to-end delivery of complex, data-driven and AI-enabled initiatives — from defining scope and success metrics to execution and impact tracking across multiple teams and geographies.
• Collect, clean, and analyze large, complex datasets to identify trends, risks, and opportunities that inform business and product decisions.
• Apply AI and GenAI tools to accelerate analysis, automate workflows, and build intelligent solutions — and evaluate where AI can drive measurable business impact.
• Turn raw data into clear, executive-ready insights and recommendations that leadership can act on.
• Partner with cross-functional teams (Product, Engineering, Data Science, Finance, Ops, CS) to translate business problems into structured analytical, technical, and execution plans.
• Build and manage project plans, timelines, dependencies, and risks for analytical, technical, and operational initiatives.
• Track progress, surface blockers early, and ensure timely delivery across multiple parallel workstreams.
• Establish processes to improve execution rigor, visibility, and accountability at scale.
• Continuously improve how the team uses data, AI, tools, and processes to operate more efficiently and effectively.

What Skills Do I Need?

• 15+ years of experience managing technical, analytical, and cross-functional programs of significant scope and complexity, with a strong track record of delivering measurable outcomes.
• Strong blend of technical project/program management and analytical thinking, with the ability to lead senior stakeholders and complex delivery independently.
• Bachelor’s degree in Engineering, Computer Science, Statistics, Mathematics, or a related discipline (Master’s preferred).
• Strong AI skills — hands-on experience applying AI/GenAI tools (e.g., LLMs, AI copilots, automation and agentic workflows) to analysis, execution, and decision-making, with a clear understanding of AI capabilities, limitations, and practical business applications.
• Exceptional data analysis skills — able to independently structure, query, and interpret large datasets, draw sound conclusions, and translate findings into business decisions. Strong hands-on proficiency with SQL, Excel, and Python.
• Deep command of project management fundamentals — scoping, planning, risk management, dependency tracking, and delivery execution across large, multi-workstream programs.
• Excellent verbal and written communication skills to influence and align internal stakeholders, including senior executives across countries, functions, and levels.
• Ability to break down complex, ambiguous business problems into structured, actionable workplans.
• Strong logical reasoning, problem-solving, and decision-making capabilities in ambiguous, fast-evolving environments.
• High attention to detail in data validation, analysis, and reporting to ensure accuracy and credibility.
• Demonstrated ability to collaborate cross-functionally and drive outcomes without formal authority.
• PMP, PgMP, or similar certification is a plus.
• Experience in SaaS, Product Operations, or analytics-driven roles is strongly preferred.