Associate Manager, Data

Accountabilities:: You will oversee technical assessment practices and operational processes across the Data organization, ensuring that teams have the frameworks, resources, and guidance needed to deliver consistent, high-quality results. Technical Vetting & Talent Assessment Own and continuously improve technical assessment processes for Data Analyst, Analytics Engineer, and Data Engineer roles, ensuring consistent standards across practices. Build and manage the technical interviewer pool by selecting, training, and calibrating interviewers, while anticipating future capacity needs. Ensure interview feedback forms and scorecards are completed accurately and consistently, maintaining high-quality evaluation standards. Train recruiters on technical vetting processes and align them with selection criteria and expectations. Analyze recruitment funnel and quality data to identify opportunities for continuous improvement. Challenge and support hiring decisions through constructive discussions with stakeholders. Classify candidates according to their technical skills and assign them to the appropriate talent categories. Audit technical interviews through scorecards and recordings to ensure fair, accurate, and consistent assessments of technical skills and seniority levels. Operational Excellence & Process Improvement Own and optimize key operational processes across the Data organization, improving efficiency, consistency, scalability, and stakeholder experience. Define, document, and maintain processes, competency frameworks, evaluation criteria, and operational standards aligned with evolving business and client needs. Identify opportunities to automate workflows and use technology and AI to reduce manual work and improve operational quality. Establish clear expectations, evaluation criteria, and communication practices to ensure transparent experiences and timely, actionable feedback. Monitor operational performance, track commitments, identify bottlenecks and risks, and provide leadership with clear progress updates and recommendations. Coordinate cross-functional teams and engage technical experts to ensure responsibilities are clear and improvements are effectively implemented. Lead operational improvement initiatives from planning through execution, defining priorities, owners, timelines, and measurable success indicators. Capability Development & Readiness Identify recurring technical gaps in vetting and staffing processes and collaborate with Training teams to address them through upskilling and cross-skilling initiatives. Maintain visibility into engineers' skills, capabilities, availability, and readiness, including those on the Bench and those assigned to client projects. Cross-Functional Coordination & Reporting Provide Data leadership with a consolidated view of operational performance, commitments, and potential risks, supported by concrete recommendations. Maintain accurate and up-to-date job descriptions for the roles within your scope. Collaborate with teams across Latin America and the United States to align expectations and support effective execution. Requirements : The ideal candidate combines a strong technical foundation in data-related disciplines with experience improving operational processes and supporting technical talent assessment. You should be comfortable working across teams, exercising sound judgment, and translating complex challenges into scalable solutions. A strong technical background in Data Engineering, Analytics Engineering, Data Analytics, or a related discipline, with hands-on experience across different Data domains; alternatively, experience as an Engineering Manager supporting technical processes, particularly recruitment. Alternatively, 2–3 years of technical recruiting experience focused on Data Engineers and/or Analytics Engineers, with sufficient technical expertise to assess candidates effectively and uphold high talent standards. Experience developing or delivering data projects, with a solid understanding of engineering challenges and the requirements for producing high-quality solutions and meaningful client value. Academic background in Computer Science, Engineering, or a related field. Demonstrated ability to design, manage, optimize, and scale complex operational processes, ideally in technical or engineering environments. Strong analytical and automation mindset, with experience using technology, data, or AI-enabled solutions to improve efficiency and operational performance. Experience designing or improving technical recruitment, interviewing, and assessment processes. Strong stakeholder management skills, including the ability to provide and receive constructive feedback and collaborate with recruiters, technical teams, non-technical stakeholders, and senior leaders. Experience working across different cultures, particularly with teams in Latin America and the United States. Excellent critical thinking, sound decision-making, and the ability to navigate ambiguity. C1-level English proficiency, both written and spoken. Ability to lead, coach, and enable others, including training and calibrating interviewers and recruiters, while building processes that can operate without constant direct involvement. Strong communication skills and the ability to deliver clear, constructive, and actionable feedback while creating positive and transparent experiences for candidates, engineers, and stakeholders. Benefits : Equity participation, providing an opportunity to share in the organization's growth. Annual company retreat. Education bonus to support continuous learning and professional development. Company-wide winter break. Paid time off. Optional in-person events and meetups. Tailored career roadmaps. Opportunity to work in a high-performance, collaborative environment that values ownership, transparency, and continuous improvement.