Manager, Data Analyst, Tech

Job Description

About The Role We're building one of the most scalable, high-quality data collection and labeling platforms powering next-generation AI and Generative AI systems across audio, video, image, LiDAR, text, and multimodal datasets. As an Analytics Manager, you'll lead analytical strategy and execution to ensure high-quality datasets are delivered efficiently and at scale. You'll manage a team of analysts to build scalable data systems, automate reporting, develop quality and anomaly frameworks, and provide insights that improve program speed, accuracy, and cost efficiency. This role blends strategy, technical depth, and people leadership, enabling cross-functional teams (Product, Engineering, Operations, and Supply) to make fast, data-driven decisions. Perfect for someone who thrives in ambiguity and drives impact through ownership, agility, and innovation. What You Will Do ---- Analytics Vision - Define and drive the analytics roadmap, aligning team objectives with organisational priorities and translating strategy into actionable execution plans. Scalable Systems - Design and deliver reporting, automation, and quality frameworks that improve visibility, efficiency, and decision-making. Influencing Priorities through Data - Partner with Product, Tech, and Data Engineering to build governed pipelines and enhance analytics instrumentation across programs. Team Leadership - Manage and mentor a team of analysts, fostering analytical rigor, ownership, and continuous professional growth. Program Reviews - Lead Program Health and P&L reviews to track performance, drive tech adoption, and align operations with business objectives. Client Collaboration - Lead data discussions with clients to design stronger data exchange pipelines and build use cases that secure critical data points, enabling greater visibility and operational efficiency. Insight Generation - Provide leadership with comprehensive visibility into performance, blockers, and dependencies across tech, product, supply, and operations to enable timely, data-driven decisions. Process Optimization - Use data-driven insights to challenge assumptions, enhance quality, and increase operational efficiency What You Will Need ---- 7+ years of experience in Analytics, Data Science, or Program Management, with at least 2+ years in a people or project leadership role. Proven ability to define and execute an analytics vision, aligning team goals with broader organizational and business priorities. Demonstrated experience leading cross-functional teams and translating strategy into actionable plans that deliver measurable impact. Strong capability in hiring, mentoring, and developing high-performing analysts, fostering collaboration and accountability within the team. Advanced proficiency in SQL, Python, and data visualization tools (e.g., Looker Studio, Tableau, Streamlit) with a strong grasp of data architecture and reporting frameworks. Excellent communication and storytelling skills, able to influence stakeholders and unify teams around a shared vision using data-driven insights. Deep analytical thinking with a bias for truth-seeking, comfortable challenging assumptions and promoting evidence-based decision-making. Proven record of delivering high-quality analytical outputs on time and at scale, balancing speed, rigor, and operational needs. High ethical standards and emotional intelligence, with the ability to lead with empathy, transparency, and integrity. Ability to work with remote teams and across time zones. Preferred Qualifications Demonstrated success in building and mentoring high-performing teams. Exposure to Machine Learning or Generative AI analytics use cases. Experience managing budgets, metrics, and KPIs across distributed teams. Knowledge of quality scoring frameworks widely used in AI & Data Labelling industry.