Technical Project Manager - Machine Learning & Data Science
About the Role
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. As a TPM authority and team leader, you will own programs spanning multiple teams and systems, improve delivery processes, and serve as a key liaison with program stakeholders.
We are looking for someone who is results-oriented and comfortable 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, removing impediments, enabling flexibility and rapid response to change, and providing leadership grounded in trust, transparency, and kindness.
About Cadmus
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.
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 of team 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.
- Advocate for clear priorities, technical excellence, process and best practices adherence, and customer-focused outcomes.
- Influence without authority and drive consensus across diverse stakeholders.
Qualifications
- 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.
Candidates must be eligible to work in the United States as a U.S. Permanent Resident or U.S. Citizen.
Benefits
- Medical, dental, and vision insurance.
- Company-paid disability and life insurance.
- 401(k) program.
- Paid time off (PTO) and paid holidays.
- Voluntary time off (VTO).
- Tuition reimbursement.
- Adoption assistance program.
- Other optional benefits and various bonus programs.
Pay
The salary range for this position is $105,000 - $115,000. The actual salary will be determined by several factors, including relevant work experience, education, skills, and market competitiveness.