Technical Project Manager - Machine Learning & Data Science
Lead cross-functional teams to deliver ML and data-science features for an automotive-entertainment client, coordinating sprints, removing blockers, and reporting status.
- Compensation
- $105K–$115K / yr
- Location
- US
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Data science
- Posted
Skills
Must have
- 5+ years of experience as a Technical Project Manager or Scrum Master, managing cross-functional projects.
- Bachelor’s degree in Information Systems, BI or Analytics or Engineering.
- Strong technical proficiency and experience working with Machine Learning (ML) or Data Science/Artificial Intelligence (DS/AI) teams.
- Experience managing large, ambiguous, cross-functional programs operating in fast-paced, highly collaborative environments.
- Experience performing TPM best practices (e.g., schedule development and tracking, risk management, status reporting).
- Experience regularly maintaining and reporting program data, preferably in Jira.
- Deep understanding of Agile and SDLC methodologies and leading/modeling process adherence.
- Excellent communication and problem-solving skills.
- Ability to facilitate teams and individuals working collaboratively and efficiently.
- A composed presence, business acumen, and ability to communicate at multiple levels of the organization.
- Experience with automation and/or AI tools such as ChatGPT, Gemini, etc.
- Preferred certifications: PMP or Scrum Master.
Full description
Overview
What You’ll Be Doing
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.
Who We Are
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.
Responsibilities
- 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.
- Oversee end-to-end activities to ensure coordination and on-time delivery. Build integrated schedules based on an understanding team’s activities and interdependencies between teams. Manage removing blockers, risks, and issues. Report program status.
- Lead Agile ceremonies and assist with story definition, backlog prioritization, and dependency resolution.
- Help Engineering teams balance scope, timeline, and quality to achieve optimal outcomes based on an understanding of priorities.