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Lead - Vendor Partnerships

AiDash

AiDash

Sales & Business Development
Bengaluru, Karnataka, India
Posted on Tuesday, February 13, 2024
About AiDash
AiDash is making critical infrastructure industries climate-resilient and sustainable with satellites and AI. Using our full-stack SaaS solutions, customers in electric, gas, and water utilities, transportation, and construction are transforming asset inspection and maintenance - and complying with biodiversity net gain mandates and carbon capture goals. Our customers deliver ROI in their first year of deployment with reduced costs, improved reliability, and achieved sustainability goals. Learn more at www.aidash.com.
We are seeking a highly motivated and experienced individual to lead our vendor management team and spearhead the growth and development of our vendor network, ensuring the highest quality geospatial data annotation, labelling, and segmentation for our cutting-edge AI projects. You will be responsible for building and managing a network of geospatial vendors, ensuring timely project delivery, and maintaining strict quality standards within complex geospatial datasets. This role demands both outsourcing partners and project management expertise and a deep understanding of geospatial data and best practices for data annotations.

What will you do?

  • Define the strategic vision for geospatial vendor management, aligning it with overall company goals and AI initiatives.
  • Cultivate strong and strategic relationships with key vendors, fostering trust, open communication, and continuous improvement.
  • Lead a high-performing team of vendor POCs, fostering a collaborative and results-oriented environment
  • Oversee the entire vendor management lifecycle, ensuring timely project delivery, budget adherence, and unwavering quality standards.
  • Implement and maintain a rigorous quality assurance program specifically designed for geospatial data, guaranteeing accuracy and consistency.
  • Analyse vendor performance metrics, identify improvement opportunities, and implement corrective actions to optimize efficiency and effectiveness.
  • Provide expert guidance and technical support to vendors, ensuring they understand project requirements and deliver exceptional results.
  • Source, qualify, and onboard new vendors with expertise in geospatial data annotation, labelling, and segmentation, particularly in areas like satellite and aerial imagery, LiDAR, and point clouds.
  • Negotiate contracts and service level agreements (SLAs) with vendors, considering specific geospatial data complexities.
  • Assign projects to vendors based on their expertise, capacity, cost factors, and specific geospatial data requirements
  • Monitor project progress, track key performance indicators (KPIs) specific to geospatial data quality and accuracy, and identify and address any potential issues promptly.
  • Stay up-to-date on the latest geospatial data annotation tools, technologies, and best practices, including domain-specific quality metrics.
  • Prepare reports and presentations on vendor performance and project metrics, highlighting geospatial data quality achievements and challenges.
  • Contribute to the development and implementation of vendor management policies and procedures tailored to geospatial data projects.

What are we looking for?

  • Minimum 8+ years of experience in project management, preferably within the geospatial data domain or a related field like remote sensing or photogrammetry.
  • Proven experience in vendor management and relationship building, with a focus on geospatial data vendors.
  • Strong negotiation and communication skills.
  • In-depth understanding of geospatial data, including imagery, LiDAR, point clouds, and their associated annotation best practices.
  • Experience with geospatial data quality assurance methodologies and quality control processes specific to annotation and segmentation.
  • Proficient in project management tools and methodologies
  • Ability to work independently and as part of a team, effectively managing and collaborating with geographically dispersed vendors.
  • Strong analytical and problem-solving skills, adept at handling complex geospatial data issues.
  • Excellent written and verbal communication skills, with the ability to explain technical concepts to both technical and non-technical audiences.