Data Curation Policy Lead

Vollzeit
Mexico City, CDMX, Mexico
vor 1 Tag

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Data Curation Operations is a team which supports all ongoing curation projects for Mapping and other teams at Lyft. Our mission is to improve customer experience in Lyft products by providing high-quality, comprehensive, and efficient data curation operations. 

In this role, you will work closely with the engineering and product teams on defining policies, processes, and quality workflows for curation projects. If you have an entrepreneurial spirit, like to solve challenging problems, and want to be part of the next big thing at Lyft, we would love to meet you!

Responsibilities:
  • Create and maintain project documentation, serving as the single source of truth for project execution. Formulate and address policy questions to PoC eng to iterate on policies
  • Continuously improve and enhance processes and team efficiency within the owned curation area.
  • Conduct regular analysis, monitoring, and reviews of the existing documentation to ensure consistency and quality.
  • Manage pilot curation and launch of new projects in cooperation with team leaders and with manager’s support.
  • Collaborate with team leaders to ensure that all team members and vendors understand and comply with company policies and work procedures.
  • Research, document, and analyze project requirements, then adapt workflows and published policies. Collaborate with the Training Lead for developing related training materials. Communicate feedback to stakeholders.
  • Stay informed about the work of key stakeholders, track new developments and share relevant intelligence with colleagues.
  •  Regularly report on progress, plans, and problems within the area of responsibility.
  • Be the source of truth in contradictory Mapping cases and be able to find solutions in cases not described in the documentation
Experience:
  • Bachelor’s/Master’s degree or equivalent.
  • 1+ years of experience in managing training processes and/or developing documentation for operational teams that work with map data(data curation, customer service, or similar).
  • Strong organizational and presentation skills with attention to detail.
  • Background in mapping, cartography, GIS, and any related fields. 
  • Experience using OpenStreetMap. 
  • Ability to define policies and operational workflows that meet project expectations, monitor and assess policies, and quickly adapt to changes.
  • Familiarity with modern learning methodologies and the ability to adapt content for different employee levels and multicultural teams.
  • Passion for delivering great customer experiences with a strong track record. Analytical mindset with problem-solving abilities.
  • Self-directed and organized, comfortable with ambiguity, and able to prioritize multiple competing tasks. Takes initiative and knows when to ask for support.
  • Strong verbal and written communication skills (English), with the ability to adapt communication style for different stakeholders and proactively share updates.
  • Comfortable learning and using new processes, systems, and tools, including data labeling tools and Google Workspace products.
  • Nice to have
    • Experience with data entry or data labeling
    • Experience working with vendors and partners
    • Experience with Jira, Confluence

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule following the establishment of a Lyft office in Mexico City — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

Please submit your resume in English.