A leading technology consulting firm in California is seeking an experienced Project Manager to work with cross-functional teams. The successful candidate will have at least 3 years of experience in project management or consulting. Responsibilities include gathering requirements, providing guidance, and building intuitive solutions for data operations. Strong presentation skills and the ability to manage ambiguity in fast-paced environments are essential. This role offers the opportunity to drive impactful projects in AI/ML product development.
Qualifications
3+ years in a project management role or consulting.
Ability to understand product roadmaps and data quality methodologies.
Strong presentation skills and ability to manage ambiguity.
Responsibilities
Work with product teams to gather requirements for key programs.
Align and provide guidance to cross-functional teams.
Collaborate to build intuitive solutions for data operations.
Skills
Project management
AI/ML development lifecycles
Data quality methodologies
Presentation skills
Job description
Overview
Responsibilities to include but not limited to the following
Qualifications
3+ years in a project management role or consulting
Ability to understand product roadmaps, AI/ML product development lifecycles, and the role of data and related quality methodologies (precision, recall, F1 etc.)
Ability to categorize list of asks into intuitive project trees linked directly to organization goals and develop/maintain project tagging system to allow easy filtering and reporting
Ability to create and update intake forms to gather data as intuitively and completely as possible
Ability to work proactively with tight deadlines, ambiguous situations, changing requirements and identify critical program risks and manage resolution
Strong presentation skills, building engaging and informative slide decks
Responsibilities
Work with product teams to gather requirements for key programs (e.g., demand management for data collection/annotation requests)
Align and provide guidance to multiple cross-functional teams while consistently meeting team deliverables in a fast-paced agile environment
Collaborate with teams to build intuitive, low friction solutions to add transparency to processes for data operations
Provide support to organize planning to minimize bottlenecks and unanticipated problems in data operations
Document discussions and create posts to provide org wide visibility for key processes, efforts, wins, and challenges
Be resilient, patient, and empathetic as teams learn, adapt, and come to consensus. Identify best practices, improve processes, manage change and partner with experts to solve complex problems