Job Title: Data Operations Team Lead (Please apply only if you have been designated as a team lead in your current or previous job and have handled end-to-end projects). Role Summary As the Data Operations Team Lead, your primary responsibility is to drive operational excellence, manage a high-performing team, and ensure the accurate documentation of complex concepts from clients and stakeholders. You will play a key role in identifying process gaps, implementing efficiency improvements, and owning the team's day-to-day production model. This role also involves coaching experienced team members into future leaders while working in a fast-paced, detail-driven environment. Key Responsibilities Leadership & Team Development - Lead and mentor a team of data operations professionals. - Coach senior team members into potential team leads or future managers. - Conduct regular performance reviews, goal-setting, and team engagement initiatives. - Be a culture carrier and champion the organization’s values. Operational Management - Take full ownership of the team’s production model, ensuring delivery against SLAs. - Ensure top-notch performance in daily operations with strong attention to detail. - Coordinate seamlessly with cross-functional and remote teams. Process Building & Optimization: - Design, implement, and stabilize new data operations processes. - Identify bottlenecks, propose improvements, and lead initiatives for continuous process enhancement. - Drive automation and documentation to ensure consistency and scalability. - Collaborate with Data Automation Engineers and Data Scientists to complete end-to-end process pipelines, feedback, and reporting loops. - Display strong change management and risk mitigation capabilities during execution. Client & Project Management - Independently handle large projects and client communications. - Translate client needs into clear, organized deliverables. - Navigate ambiguity with strategic thinking and problem-solving capabilities. Strategic Contribution: - Provide input into roadmap planning and resource allocation. - Represent the team in leadership forums, sharing updates and advocating for operational needs. Skills & Qualifications - Bachelor’s degree in any field. - 6–7 years of experience in data-related operations, with 3–5 years of people management. -Has experience communicating and working directly with US-based clients. - Exceptional attention to detail and ability to perform under pressure. - Strong client-handling skills and experience with remote team coordination. - Proficiency in MS Office. - Excellent verbal and written communication skills in English. - Strategic mindset, quick learner, and a positive, solution-oriented attitude. - Strong project ownership with a knack for problem-solving and operational thinking. Infrastructure Requirements (Work from Home) - High-speed internet connectivity suitable for video conferencing. - A business-grade computer (modern processor, 8 GB+ RAM). - A quiet, dedicated workspace at home. - Quality headphones with clear audio. - Stable power and internet backup options. Additional Information - This role does not guarantee a transition into AI/ML roles. - This position is not geared toward a career in data visualization. - Candidates must be comfortable in a remote-first and performance-driven environment. Show more Show less

Join Forage AI as a Data Specialist. If you’re a detail-oriented, tech-savvy professional who loves working with data, then this may be the right role for you! You’ll collaborate with our talented team of engineers who are working at the bleeding edge of data science and data automation. Our data specialists play an integral role in ensuring that our clients consistently receive high-quality datasets in a timely manner. You will collaborate with our dev team to ensure the end-to-end completion of the 'Extraction-QA-Feedback-Delivery’ process. You will meet our end goal of ensuring that our clients receive carefully curated datasets that are customized and structured as per their requirements. Here’s what you’ll do: ● Extract, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy. ● Research and troubleshoot issues associated with data and/or tools provided. ● Catch and report bugs by highlighting trends and exceptions that require fixes. ● Suggest process improvement ideas that will bring efficiency and structure to workflows. ● Implement automation solutions to make our QA processes more robust and efficient. ● Work closely with our team of developers to manage ETAs and deliverables ● Assist our AI and RPA models by manually parsing data for delivery or process automation. ● Conduct domain-specific preliminary research for building subject matter expertise ● Own end-to-end operations process for your daily project deliverables. ● Respond to client inquiries related to ongoing projects. ● Be a culture carrier and live by all of our core values. Requirements: ● Must have at least a bachelor’s degree in any field. ● Must have worked on Excel / Google Sheets for at least 2 years (full time). ● Proficiency in XPath, SQL , or any other query or coding language would be a plus. ● Excellent attention to detail and proven ability to perform under pressure. ● A quick learner with a strong analytical mindset who is tech-savvy and enjoys working with data and AI tools. ● An open-minded, motivated self-starter with a positive approach to problem-solving. ● An active listener who can effectively translate instructions into action. Other Infrastructure Requirements: Since this is a completely work-from-home position, you will also require the following - ● High-speed internet connectivity for video calls and efficient work. ● Capable business-grade computer (e.g., modern processor, 8 GB+ of RAM) ● Dedicated workspace (at home) for uninterrupted and efficient work. ● Headphones with clear audio quality. ● Stable power connection and backups in case of internet/power failure. Additional Information: ● While we do have separate teams for AI & ML, this job does not guarantee an organic segue into these roles. ● This is not an opportunity to develop a career solely in data visualization. Show more Show less

Join Forage AI as a Senior Data Specialist. If you’re a detail-oriented, communication and research-savvy professional who loves working with data, then this may be the right role for you! As a senior data specialist, you will play a critical role in managing processes and collaborating with other teams. You will also be involved in checking and ensuring the accuracy, integrity, and reliability of the datasets used by our team and improving the overall process efficiency. Your expertise in data quality assessment and operations management will be instrumental in enhancing the overall quality of our data-driven solutions. Responsibilities: As a senior data specialist, you will play an integral role in ensuring that our clients consistently receive high-quality datasets in a timely manner. You will collaborate with our dev team to ensure the end-to-end completion of the 'Extraction-QA-Feedback-Delivery’ process. You will meet our end goal of ensuring that our clients receive carefully curated datasets that are customized and structured as per their requirements. Here’s what you’ll do: Conduct domain-specific foundational research for building subject matter expertise. Own end-to-end operations process for project deliverables. Respond to client inquiries related to ongoing projects. Extract, Quality Check, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy. Supplement in planning, strategizing and implementing process workflows. Work and effectively communicate and coordinate with multiple teams and process owners to manage timely project completion. Research and troubleshoot issues associated with data and/or tools provided. Catch and report bugs by highlighting trends and exceptions that require fixes. Suggest process improvement ideas that will bring efficiency and structure to workflows. Implement automation solutions to make our QA processes more robust and efficient. Assist our AI and RPA models by manually parsing data for delivery or process automation. Be a culture carrier and live by all of our core values. Requirements: Must have at least a bachelor’s degree in any field. Must have at least 3-5 years of full-time work experience - this includes i) Any role that involved building high-quality datasets, or ii) Operations roles that may have involved managing business processes, audits, etc., or iii) Exposure to client management, including, gathering requirements to build datasets that are customized according to the client’s needs. Must have experience of working in the data industry for at least 1 year. Familiarity with XPath, SQL, or any query/coding language would be a plus. Excellent attention to detail and proven ability to perform under pressure. A quick learner with a strong analytical mindset and enjoys working with data. An open-minded, motivated self-starter with a positive approach to problem-solving. An active listener who can effectively translate instructions into action. Other Infrastructure Requirements: Since this is a completely work-from-home position, you will also require the following - High-speed internet connectivity for video calls and efficient work. Capable business-grade computer (e.g., modern processor, 8 GB+ of RAM) A Windows system machine would be preferable Dedicated workspace (at home) for uninterrupted and efficient work. Headphones with clear audio quality. Stable power connection and backups in case of internet/power failure. Additional Information: ● While we do have separate teams for AI & ML, this job does not guarantee an organic segue into these roles. ● This is not an opportunity to develop a career in data visualization. Show more Show less