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Spain

  • Oversee a portfolio of Data Collection projects across onsite, studio, and remote modalities.
  • Manage contributor capacity planning, vendor relationships, and process improvements.
  • Ensure quality consistency and financial performance across all projects.

Project Management Data Collection Vendor Management Quality Assurance Communication

9 jobs similar to Senior Project Manager - Data Collection Spain

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Spain

  • Lead and support a team of approximately 10 Quality Control Reviewers, ensuring consistent quality standards across the Spanish (Spain) locale.
  • Act as the primary quality point of contact for the Spanish (Spain) locale, resolving quality questions and escalating complex issues when necessary.
  • Conduct calibration sessions and provide structured coaching to improve reviewer performance.

Welo Data provides data quality services for AI training programs, focusing on linguistic quality and annotation. The team is dedicated to improving AI systems through rigorous quality assurance and collaboration.

Latin America

  • Build and manage the contributor network across Latin America, including recruitment, training, and supervision of field agents and partners.
  • Own end-to-end data-collection projects from specification to accepted delivery, ensuring quality, volume, timeline, and budget.
  • Travel regularly across the region to meet contributors, run recruitment drives, and oversee collection days in person.

Rwazi is a global consumer-intelligence company that turns real-world data collected by contributors into intelligence for brands. It operates with a network of contributors and an operations team that ensures projects are delivered on spec, on time, and paid.

Brazil

  • Coordinate and execute qualitative research projects across multiple markets.
  • Recruit and manage respondents, vendors, and freelancers to ensure quality and compliance.
  • Maintain tracking documents, review deliverables, and resolve project issues proactively.

The hiring partner is a research and technology company specializing in international qualitative research within healthcare and life sciences. They offer a collaborative culture that values autonomy, continuous improvement, and professional development.

Global

  • Manage international quantitative market research projects through the entire project life cycle, including client and vendor management and healthcare professional sample.
  • Coordinate project kickoff meetings, monitor data collection productivity, and manage study profitability.
  • Partner with sales and operations teams to improve performance and support international teams outside US business hours.

M3 USA is at the forefront of healthcare innovation, offering digital solutions across healthcare, life sciences, pharmaceuticals, and more. Since 2000, the company has experienced remarkable growth, fueled by its mission to use the internet for a healthier world, with a dynamic and innovative work environment where every team member contributes to global health advancements.

Hungary

  • Manage complex digital projects end-to-end, ensuring quality, budget, deadlines, and scope.
  • Lead interdisciplinary project teams and coordinate internal and external stakeholders.
  • Support pre-sales processes, including lead qualification, proposal development, and project calculation.

Deutsche Telekom IT Solutions is a subsidiary of Deutsche Telekom Group, providing wide-ranging IT and telecommunications services. With over 5,300 employees, it has won awards for best education cooperation and most ethical multinational company.

Europe

  • Conduct comprehensive testing and monitoring of data for digital content products, primarily in France.
  • Communicate with clients in French and offer support during calls and meetings related to data quality.
  • Collaborate with internal stakeholders to enhance processes and introduce new measurement technologies.

Exadel is an AI-first global tech company with 25+ years of engineering leadership, partnering with Fortune 500 clients like HBO, Microsoft, Google, and Starbucks. They have 2,000+ team members and 500+ active projects, and their culture is ambitious, collaborative, and constantly evolving.

Honduras

  • Supervise operational execution and partner management for impact interventions in Honduras, including logistics and team guidance.
  • Design and implement data collection tools, train field staff, and analyze data to track key project indicators.
  • Build stakeholder relationships with government, exporters, farmer organizations, NGOs, and research institutes.

Enveritas develops solutions to improve sustainability measurement in agricultural supply chains and include smallholder farmers in responsible sourcing of coffee and cocoa. They are a dynamic nonprofit organization working in 34 countries with a remote-by-design work environment and a diverse, committed team focused on impact.

Global

  • Manage international market research projects through the entire lifecycle, ensuring client satisfaction and project financial goals.
  • Coordinate custom recruitment of niche targets and oversee project kick-offs, programming, testing, and fieldwork.
  • Deliver timely client updates, control budgets, and ensure positive participant experiences.

M3 is a Japanese global leader in innovative tech and research solutions for healthcare, operating in the US, Asia, and Europe with over 5.8 million physician members worldwide. A publicly traded company on the Tokyo Stock Exchange and ranked in Forbes' Global 2000, M3 has offices in multiple countries including Japan, the US, and the UK.

Spain India Philippines EU

  • Coordinate assigned project workstreams to ensure on-time delivery against execution standards.
  • Partner with client teams to validate quote assumptions, analyze datasets for insights, and provide data-backed findings.
  • Maintain version control and translate QA findings into targeted improvements to reduce recurring annotation errors.

Appen has been a leader in AI training data for over 30 years, specializing in human-generated data to train, fine-tune, and evaluate models across generative AI, large language models, computer vision, and speech recognition. With a global crowd of over 1 million contributors in more than 200 countries, the company fosters a culture of innovation, collaboration, and excellence.