The Technical Project Manager will lead complex, cross-functional initiatives across product development and commercial media programs. This role requires exceptional skills in translating business strategy into executable project plans, with clear prioritization at both quarterly and sprint levels. You’ll work closely with product, engineering, marketing, and analytics teams to drive projects from concept to completion, ensuring alignment with business goals and delivering measurable outcomes.Key Responsibilities:
(Including but not limited to)Product Development SupportTranslate product vision and strategic initiatives into clear, actionable execution plans — including roadmaps, detailed workstreams, and supporting documentation such as workflows and diagrams — to ensure alignment across teams.Lead enterprise-level  and sprint backlog grooming, performing radical prioritization exercises to ensure high-impact focus.Apply AI tools within Agile and waterfall workflows to enhance team productivity and process efficiency; identify opportunities for continuous improvement through data-driven insights.Build and maintain agile project frameworks, incorporating RICE scoring for product and data backlog prioritization, sprint velocity tracking, financial forecasting, burn-down monitoring.Define clear RACI matrices for all projects, mitigating blockers, navigating cross-team dependencies and ensuring accountability among team members and stakeholdersPartner with product, QA, data, and engineering teams to define and document technical requirements, user stories, workflows, test criteria, and release notes; support QA and UAT coordination before and after release.Facilitate sprint planning, retrospectives, and daily stand-ups with a focus on triage, iteration and impact.Commercial Media Project SupportPartner with commercial media programs’ leads to define and prioritize functional and technical requirements aligned to the digital experience roadmap for specific clients.Support development of program estimates, timelines, and capacity planning to ensure efficient resource allocation.Collaborate with analytics teams to assess performance metrics, identify issues, and facilitate troubleshooting for underperforming programs.