Technical Project Manager coordinating software development and delivery for Optical LAN solutions. Requires strong technical background and project management skills in a hybrid work environment.
About the role
- Technical Project Manager in insurance driving data science and analytics solutions. Building partnerships and addressing technical business problems while enhancing processes and operational efficiency.
Responsibilities
- Build strong partnerships with cross-functional stakeholders at all levels to ensure alignment and drive solution adoption.
- Act as a liaison between technical teams and business units, ensuring solutions address real business problems and deliver expected value.
- Work with internal customers to identify opportunities to enhance, evolve, or reuse existing assets or develop new assets that could add operational and business value.
- Execute well-designed communication plans tailored to audiences ranging from technical peers to business stakeholders of various levels.
- Assist with the creation and maintenance of asset documentation, artifacts, and usage guides.
- Provide hands-on support to data science teams by managing project roadmaps, execution timelines, request backlog, and stakeholder updates.
- Support the development and implementation of critical operating routines and agile practices.
- Identify gaps and opportunities in current operating routines and champion ideas to enhance efficiency and mitigate risk.
Requirements
- 2+ years of experience in business consulting, analytic or machine learning product management, software development product management, or strategic/analytical roles highly desired.
- Agile and Scrum Master experience highly desired.
- Proficiency in impactful storytelling, communication, and relationship-building across a broad range of technical and non-technical audiences.
- Comfortable with working on novel, ambiguous business problems with no clear-cut solutions while flexing different roles to achieve project success.
- Ability to manage multiple projects concurrently, and to set priorities and plans to meet business goals and objectives.
- Experience in leveraging Microsoft tools to develop compelling visuals articulating complex analytical topics.
- Understanding of the software development lifecycle, python packaging, data science concepts, and cloud computing is a plus.
- Exposure to Generative AI capabilities (and limitations) and use-cases is a plus.
- Domain knowledge in Insurance and KPIs is a plus.
Benefits
- Hybrid work schedule
- Short-term or annual bonuses
- Long-term incentives
- On-the-spot recognition
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