Technical Project Manager - Machine Learning & Data Science

Cadmus is seeking a Technical Project Manager (TPM) with a passion for delivering high quality projects in a complex, fast paced environment to support a major commercial client in the automotive entertainment space.

You will work with machine-learning (ML), data science/Artificial Intelligence (DS/AI), data engineering, and analytics teams to deliver initiatives that support the enterprise’s data needs.

You will function as a TPM authority and team leader, owning programs that span multiple teams and systems, improving delivery processes, and serving as a key liaison with program stakeholders.

We are looking for someone who is results-oriented and comfortable with facilitating engineering teams to predictably meet commitments and successfully deliver high quality products and features.

Your success will be achieved through clear communication and collaboration among the team, removing impediments, enabling flexibility and rapid respond to change, and providing leadership grounded in trust, transparency, and kindness.

Cadmus provides government, commercial, and other private organizations worldwide with technology-empowered advisory and implementation services.

We help our clients achieve their goals and drive lasting, impactful change by leveraging transformative digital solutions and unparalleled expertise across domains.

At Cadmus, we look for team players and problem solvers who are driven to use their unique perspectives and intellectual curiosity to help deliver breakthrough solutions that achieve transformative goals.

As a member of our team, you'll collaborate with leading experts to support our clients across the globe.

We offer competitive compensation, outstanding health care and retirement benefits, a vibrant and collaborative work environment, and ample opportunities for professional growth.

Join Cadmus.

Together, we are strengthening society and the natural world.

For more information, visit cadmusgroup.com .

• Manage and coordinate across multiple engineering teams delivering Machine Learning (ML) and Data Science/Artificial Intelligence (DS/AI) features and capabilities to support the broader vision, goals, and objectives of the company. Coordinate activities with internal teams and external partners.