The role requires strong project management skills alongside a proactive approach to integrating AI tools and practices into daily workflows. Experience with AI-powered solutions is highly valued, as part of broader strategy to scale innovation and efficiency.
We seek a highly experienced Technical Project Manager to lead and orchestrate complex, cross-functional projects, both in technological areas and in areas that integrate business.
This role involves close collaboration with the CIO, CTO, and other senior leadership, ensuring timely delivery, process improvement, and clear communication across all levels of the organization.
Lead and coordinate organization-wide projects that involve both tech and business teams.
Leading all projects and planning for the company's Data group.
Partner closely with the senior leadership (for example, head of Data, CISO) to execute strategic initiatives.
Build and manage execution frameworks and quarterly planning processes.
Promote and implement process improvements, governance models, and reporting standards.
Act as a key communication bridge between executives and delivery teams.
Play a central role in defining priorities and aligning delivery with business objectives.
Key Responsibilities
Leadership – Lead large-scale projects that span organizational boundaries, collaborating closely with the CIO, CTO, and key technical stakeholders.
Project Execution – Develop and manage execution plans focusing on the regular, timely delivery of business value.
Cross-functional Collaboration – Collaborate with senior leadership (CIO, CTO, etc.) and other stakeholders to align project objectives and outcomes.
Process Implementation – Define, implement, and track key processes that ensure project objectives are met, emphasizing continuous improvement.
Risk Management – Identify project risks, including production stability, and implement mitigation strategies to ensure successful delivery and continuous service availability.
Communication – Provide clear, concise, and transparent updates on project status to internal and external stakeholders, ensuring alignment at all levels, from technical teams to executives.
Conflict Resolution – Address and resolve conflicts arising during the project lifecycle, ensuring minimal deviations from project timelines.
Methodology Development – Contribute to the ongoing development and refinement of project management methodologies, promoting a culture of continuous improvement.
Stakeholder Management – Manage relationships with internal teams (Development, Security, IT, Architecture, etc.) and external partners, coordinating across multiple integration points.
5 years of proven hands-on experience leading complex cross-company R&D projects in a complex environment.
Experience utilizing AI tools to streamline project workflows, improve team efficiency, or enhance reporting and decision-making.
Ability to identify and promote AI-driven opportunities that support delivery timelines, resource management, and cross-team collaboration.
High adaptability and comfort with shifting priorities in a fast-paced, AI-driven environment.
Strong "can-do" mindset with the ability to drive projects to completion in a fast-paced environment.
A demonstrated ability to facilitate and organize projects collaboratively, working with cross-functional teams.
Experience in defining and implementing processes that drive efficiency and project success.
Excellent communication skills with the ability to translate complex technical details into clear, concise messages for technical and non-technical stakeholders.
Expertise in Agile project management and collaboration tools, specifically the Atlassian suite (e.g., Jira).
