Program Manager I

TalentBurst; Cupertino (CA); Hybrid; USD 80,000 - 150,000; Full time

Job summary

A forward-thinking company is looking for a talented ML Data Program Manager to lead data initiatives supporting machine learning features. This role involves collaborating with R&D to define data requirements, managing data collections, and ensuring high-quality data delivery. The ideal candidate will thrive in a fast-paced environment, possess strong project management skills, and be proficient in Python scripting. Join this innovative team to drive impactful data programs and contribute to the development of cutting-edge ML solutions.

Qualifications

• Experience in project management and leading data programs.
• Proficiency in Python for automating tasks and workflows.

Responsibilities

• Collaborate with R&D to define data requirements and manage data collections.
• Design ML Data Ops strategies and oversee project timelines and quality.

Skills

Project Management

Python Scripting

Communication Skills

Critical Thinking

Data Quality Management

Adaptability

Organizational Skills

Job description

Title : ML Data Program Manager - MLO, Contractor
Location: Cupertino, CA 95014
Duration: 12 Months
Remote in Bay Area, will have to come onsite from time to time.
Job Summary
We are seeking a talented individual to lead Data Programs that support ML features. In this role, you will collaborate closely with R&D to scope projects, develop specifications and guidelines, manage data collections, create tooling, oversee annotations, and ensure data quality before delivery. You will need to work effectively across teams while managing multiple projects simultaneously.
Responsibilities
• Collaborate with R&D partners to understand and define data requirements from inception to delivery.
• Design and implement ML Data Ops strategies optimized for each feature (collection and annotation), including
• identifying, sourcing, or creating necessary tooling, equipment, or crowdsourcing solutions.
• Establish clear guidelines and specifications.
• Thoroughly scope projects, estimate timelines and costs, and identify potential challenges in advance.
• Coordinate data programs across internal functions (data engineering, data science, QA) and other partners.
• Collaborate with vendors to ensure tasks are calibrated appropriately; track and report on quantity and quality metrics.
• Independently run in-person data collections and user studies.
Required Experience and Skills:
• Excellent English-language oral and written communication skills.
• Previous project management experience.
• Flexibility and adaptability to thrive in a fast-paced, highly demanding, and constantly changing environment.
• Self-motivated with the ability to work independently with little supervision.
• Highly organized with strong attention to detail.
• Strong critical thinking skills, with a focus on innovation and continuous optimization (quality, cost efficiency).
• Ability to independently navigate systems and tools.
• Proficiency in scripting (Python) to automate tasks, compute metrics, and explore workflows combining ML and human inputs.
• Ability to handle ambiguity, identify risks, troubleshoot issues, and find the right people and tools to get the job done.
• Capacity to multitask and manage multiple projects simultaneously, while meeting deadlines and maintaining clear, effective communication with stakeholders.

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