Harmonya

Operations

• Lead, coach and grow the Data Operations team
• Own priorities, task assignment, performance, hiring and employee growth paths
• Own the quality of every client delivery, including standards, quality checkpoints, acceptance thresholds, escalation paths, peer review and sign-off
• Track quality metrics per delivery and act on trends
• Define and maintain the team’s QA methodology and playbook, including sampling methods, precision and completeness metrics, test sets, root-cause analysis and standardized data guidelines
• Design and scale operational processes for new products and data domains, from input validation and data definitions through quality checks, sign-off and ongoing monitoring
• Work with Delivery, R&D and Product teams on timelines, SLAs, tooling and data needs
• Partner with US-based clients, Customer Success and GTM teams to understand use cases, scope requirements, answer data questions and support sales with samples, feasibility checks and data deep-dives
• Evaluate LLM and ML outputs at scale and guide prompt design, model choice and cost-versus-quality trade-offs
• Introduce automated QA checks, LLM-as-judge evaluation and agents for repetitive data tasks
• Audit samples and investigate issues using SQL and Python
• Set standards for data produced through AI models, rule-based logic or manual review
• Build a self-sufficient team that runs deliveries end to end with minimal R&D support

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Data Operations Team Lead