Staff Program Manager, Autonomous Vehicle & Active Safety
General MotorsAbout the role
Job Description
Staff Program Manager, Autonomous Vehicle & Active Safety
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Technical/Innovation Center in Mountain View (CA) or Warren (MI) three times per week, at minimum. This position can be located at either of these 2 locations.
The Role
We are looking for a highly motivated individual to strengthen our AV Automated Parking capabilities with a focus on Active Safety and the Automated Parking space. As the AV Staff Program Manager for Automated Parking, you will play a crucial role in leading high-visibility programs, overseeing multiple milestones, partnering with cross-functional stakeholders across software, hardware and user experience teams, to develop execution plans that enable quality launches of our next generation Automated Parking and Park Assist features and products.
The Team
The Autonomous Vehicle & Active Safety PMO is one of the main pillars working to drive the launch of Autonomous Vehicle features and products across all levels of autonomy. This Includes our best-in-class Active Safety features, Driver Monitoring and Automated Park Assist Features. The AV PMO partners with the AV Product Management Team, Software Development Teams and Technical Experts to drive the strategic goals of the AV organization.
We are seeking proactive, high-energy individuals who want to be part of a team that is driving GM's Mission of ZERO CRASHES. Candidates should be comfortable dealing with ambiguity, engaging with leadership, and collaborating with teams across GM. Our goal is to deliver world-class features and products that create a safe and enjoyable driving experience for our customers with QUALITY at the forefront of what we do.
What You’ll Do
Lead programs from requirements definition through deployment, identifying schedules, scopes, budget estimations, and implementation plans, including proactive risk mitigation.
Coordinate internal GM resources and external Suppliers to ensure that projects adhere to scope, schedule, and budget to ensure that program objectives can be met.
Foster collaboration between cross-functional teams to ensure alignment and seamless execution of program plans.
Address engineering and product teams remove barriers and drive clarity on program execution priorities.
Influence relevant stakeholders and establish/maintain relationships, providing day-to-day contact on program status and changes.
Communicate program outcomes and/or risks to the appropriate management channels and escalate issues, as necessary, according to program work plan.
Competencies
Proven team leadership and people management skills
A positive attitude; committed to making a difference
Critical thinking skills; willing to offer ideas, opinions, and judgments
Self-starter; driven to achieve
Ability to work comfortably and effectively with senior leaders
Additional Job Description
Your Skills & Abilities (Required Qualifications)
7+ years of project/program management or related experience
Domain knowledge of AV systems and key sensing technologies, capable of guiding the integration of these technologies into vehicle systems
Bachelor's degree in engineering, Business, Computer Science or related field
Experience leading programs with technical and non-technical teams
Strong program management experience, with practical familiarity in Agile, Scaled Agile Framework and Waterfall methodologies, applied where most effective
Proven track record of influencing without direct authority, fostering collaboration
Demonstrated leadership in motivating cross-functional team members across different time zones and backgrounds to achieve goals effectively and efficiently
Lead teams through change, fostering a culture of adaptability by adjusting project/program plans accordingly and ensure appropriate communication to all stakeholders
Strong written and verbal communication skills
Excellent presentation skills
What will give you a competitive edge (Preferred Qualifications)
Experience in AV software development (L1-L4 autonomy), machine learning, computer vision and related software development environments
Understanding of autonomous driving, system engineering, safety frameworks/methodologies, software simulation and testing tools
Experience administrating and configuring tools such as Jira, Confluence, Azure
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