Manager, Conversation Analysis

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🕒 4 dias atrás

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

👔 Gerente

🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of Authenticx

Authenticx

51 - 200 funcionários

Fundada em 2018

🤖 Inteligência Artificial

💊 Farmacêutico

⚕️ Seguro de Saúde

Artificial Intelligence • Pharmaceuticals • Healthcare Insurance

Authenticx é uma empresa de IA focada em saúde que transforma conversas de pacientes e clientes em insights acionáveis. Sua plataforma SaaS utiliza IA generativa especializada e analytics de conversação com rótulos específicos para o setor de saúde para transcrever, resumir e identificar tendências a partir de dados de call centers e pontos de contato com pacientes, a fim de melhorar a segurança do paciente, qualidade, conformidade e desempenho operacional. A Authenticx atende organizações de ciências biológicas, farmacêuticas, provedores e pagadores, oferecendo integrações, suporte consultivo e monitoramento em tempo real para impulsionar a adesão a terapias, reduzir atritos e acelerar a resolução de problemas.

Descrição

• Directly manage a team of analysts, including hiring, onboarding, performance reviews, career development, and day-to-day coaching • Manage capacity, work prioritization, and timelines to meet project timelines • Identify process improvements to increase efficiency, scalability, and reliability of labeling operations • Develop rubrics and ground truth labeled data supporting AI model development, insights mining, and continuous improvement • Ensure consistent application of rubrics through regular secondary reviews proactively addressing gaps while recognizing and developing high performers • Partner with the AI and Data Science team to align labeling methodology with model development requirements while communicating progress, risks, and meaningful observations in the data • Serve as the Subject Matter Expert (SME) to customers and cross-functional partners in Data Science, Prompt Engineering, Product, and Client success related to our model development operating procedures • Develop and maintain expert level knowledge in how labeled conversational data connects to model development and outcomes • Serves as an escalation point collaborating with internal teams (Support, Product, Engineering, CS) to address any customer issues, ensuring swift and efficient resolution • Drive innovation and cast a vision for how we evolve our rubric design, labeling methodology, and insights mining and delivery • Foster a culture of continuous improvement with strong performance, consistency, engagement

🎯 Requisitos

• 3+ years of people management experience leading analytical, labeling, or quality-focused teams • Strong analytical thinking with the ability to identify root causes of quality or performance issues • Excellent written and verbal communication, including translating complex methodology into clear guidance • Proven track record in client-facing settings as a subject-matter expert • Experience working cross-functionally with technical teams such as data science or engineering • Demonstrated record of innovation and elevating existing teams • Background in conversation analysis, transcription review, annotation, or structured qualitative analysis (preferred) • Experience in healthcare, life sciences, call centers, or regulated SaaS environments is a plus (preferred)

🏖️ Benefícios

• This is a remote/virtual position • For local team members, occasional on-site working (Indianapolis north side) may be expected for in-person activities • For remote team members, traveling to Indianapolis may be required approximately 1-2x per year, based on business needs • Travel for client meetings may be expected, based on business needs • Candidates must reside in the USA and be authorized to legally work in the USA without requiring employment visa sponsorship now or in the future

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