Snr. Project Manager (Hybrid)

About KnowBe4

KnowBe4, the provider of the world's largest security awareness training and simulated phishing platform, is used by tens of thousands of organizations around the globe. KnowBe4 enables organizations to manage the ongoing problem of social engineering by helping them train employees to make smarter security decisions, every day.

Fortune has ranked us as a best place to work for women, for millennials, and in technology for four years in a row! We have been certified as a "Great Place To Work" in 8 countries, plus we've earned numerous other prestigious awards, including Glassdoor's Best Places To Work.

Our team values radical transparency, extreme ownership, and continuous professional development in a welcoming workplace that encourages all employees to be themselves. Whether working remotely or in-person, we strive to make every day fun and engaging; from team lunches to trivia competitions to local outings, there is always something exciting happening at KnowBe4.

Clearwater positions open to candidates located in greater Tampa Bay area.

The Senior Project Manager is responsible for overseeing the entire project management process, from initiation to go live of an effort. This involves leading and directing various teams (business, technical, documentation, testing, training, etc.) in order to meet expectations and timelines. They will develop detailed project plans and schedules. Track project milestones, maintain appropriate leadership dashboards, and provide detailed status reports to various levels of stakeholders. 

The ideal candidate must be capable of managing multiple technical projects with a variety of teams and technical platforms while simultaneously maintaining strong organizational skills. In addition to the management of technical projects, the Senior Project Manager is also expected to be able to coordinate and inform updates to internal Project Management Office processes and reporting metrics for continuous process improvement.

Additionally, this role will be responsible for leading projects that leverage Artificial Intelligence (AI) technologies to meet business objectives. The Senior Project Manager should be able to navigate the complexities of AI projects, balancing technical requirements with business needs, ethical considerations, and regulatory compliance. They will play a crucial role in guiding teams through the AI development and implementation process, ensuring that AI solutions are effectively integrated into existing systems and processes to drive innovation and efficiency across the organization.

Responsibilities:

• Project Management:
  • Provide end-to-end lifecycle management of Internal IT efforts from ideation through implementation.
  • Guide internal customers through the project lifecycle, including requirements gathering, testing, documentation, change coordination, go-live, and post-implementation support.
  • Assess project resources and needs, coordinating with stakeholders to ensure all requirements are met.
  • Facilitate, manage, and report status on all phases of the project lifecycle, leading stakeholder teams through each phase.
  • Work with cross-channel business units and cross-functional IT application teams to secure strategic alignment and timely delivery of IT initiatives.
  • Develop, manage, and control project delivery plans, reporting critical milestone updates to leadership.
  • Track program/project level status and metrics, communicating progress/roadblocks and streamlining delivery aligned with projected ROI.
  • Document and manage all program/project documentation.
• Strategic Planning and Process Improvement:
  • Identify and document process improvements/changes to streamline and improve time management.
  • Provide recommendations to leadership in the development, implementation, and evaluation of new or modified policies, practices, and procedures.
  • Contribute to department-wide strategy and goal-setting.
  • Align team objectives with organizational goals.
• Artificial Intelligence:
  • Strong understanding of AI concepts and applications: The ideal candidate should have a solid grasp of AI fundamentals, including machine learning, natural language processing, and data analytics, to effectively communicate with technical teams and stakeholders.
  • Ability to align AI project goals with broader business objectives, ensuring that AI solutions address specific business needs and deliver measurable value.
  • Experience in managing the unique aspects of AI projects, including data preparation, model development, testing, deployment, and ongoing monitoring and refinement.
  • Awareness of ethical implications in AI development an