Head of Data Platform – AI

🕒 Setembro 15

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $239.300 - $280.000 / ano

⏰ Tempo Integral

🔴 Especialista

🚰 Engenheiro de Dados

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Octave

SiteLinkedInTodas as Vagas

201 - 500 funcionários

🏥 Saúde

🧘 Bem-estar

⚕️ Seguro de Saúde

💰 $20.000.000 Series B em 2021-05

Healthcare • Wellness • Healthcare Insurance

A Octave é uma provedora de cuidados em saúde mental que oferece serviços de terapia acessíveis e personalizados para as necessidades de indivíduos, casais e famílias. Seus serviços incluem encontrar e combinar clientes com terapeutas cuidadosamente selecionados, especialistas em várias áreas de especialidade e idiomas. A Octave enfatiza a excelência clínica com um forte foco em soluções de terapia baseadas em evidências e orientadas para resultados, levando a melhorias mais rápidas e eficazes na saúde mental. Com opções de terapia presencial e virtual disponíveis, facilitam o acesso aos cuidados em saúde mental e abraçam uma rede diversificada de terapeutas, incluindo uma porcentagem significativa que se identifica como negros, indígenas ou pessoas de cor. A Octave faz parceria com a Evernorth Behavioral Care para oferecer cuidados de alta qualidade aos membros da Cigna Healthcare e Evernorth, melhorando o acesso e a satisfação de seus clientes.

Descrição

• Lead the technical vision and execution across Octave’s data platform and emerging AI, machine learning, and Data Science capabilities • Own and evolve Octave’s data and AI/ML technical foundation • Set technical and strategic direction for AI/ML in partnership with Product and cross-functional business leaders • Build and manage the team required to execute the data and AI vision • Lead the Data Platform team and partner with Product, Engineering, Analytics, and business leaders • Define the technical strategy and roadmap for the data platform and AI/ML capabilities • Own company-level AI/ML and Data Platform KPIs and report progress to the executive team • Evaluate AI/ML opportunities, technical feasibility, tradeoffs, and approaches • Establish capabilities for developing, evaluating, deploying, monitoring, and improving production AI/ML systems • Establish practices for model evaluation, experimentation, observability, feedback loops, governance, privacy, security, and responsible AI • Own the architecture and evolution of the centralized data platform • Ensure the platform is reliable, scalable, observable, secure, and usable by downstream consumers • Establish data quality, testing, lineage, documentation, monitoring, and reliability practices • Build scalable interfaces and data products for analysts, Product, Engineering, and other teams • Enable decentralized analytics teams through shared standards, platform capabilities, and ownership models • Recruit, mentor, and develop Data Platform, Data Science, ML Engineering, and Applied AI talent • Remain hands-on with system design, architecture, data modeling, prototypes, code, technical evaluations, and production issues • Provide technical thought partnership to engineers, analysts, Product leaders, and senior company leadership

🎯 Requisitos

• Strong technical foundation and prior experience as a highly capable individual contributor before moving into leadership • Strong understanding of traditional machine-learning and Data Science approaches and newer AI capabilities, including LLM-based systems and generative AI • Strong judgment around build-versus-buy decisions and ability to assess rapidly evolving technologies pragmatically • Excellent communication skills and ability to move between detailed technical discussions and senior business and product leader conversations • Comfortable operating in a small, fast-moving organization where senior leaders remain close to execution • 8+ years of experience building and leading data platform, data engineering, Data Science, ML, or AI capabilities in high-growth technology environments • Demonstrated experience architecting and building modern data platforms and production data systems • Meaningful experience applying machine learning and/or AI to real-world product or business problems and taking solutions from experimentation into production • Experience partnering closely with Product teams to identify and deliver technically sophisticated product capabilities • Demonstrated ability to diagnose organizational capability gaps, build new technical capabilities, and recruit senior, specialized technical talent • Must be eligible to work in the United States without sponsorship now or in the future • Prolonged periods sitting at a desk and working on a computer • Ability to frequently communicate through virtual meeting applications such as Zoom and Google Meet • Ability to observe and communicate information on a company-provided laptop • Ability to move up to 10 pounds occasionally

🏖️ Benefícios

• Equity awards via Octave’s stock options program • $300 equipment reimbursement for home office setup for new full-time employees • Monthly reimbursement of up to $75 for internet and cell phone expenses for full-time employees • One HDHP and two PPO medical plan options • Dental and vision coverage • Company-sponsored One Medical membership • 401(k) with traditional and Roth options • Generous paid time off policy • Up to 15 paid company holidays • Accrued sick time • Company-paid life, AD&D, and disability insurance • Optional pet, legal, critical illness, hospital indemnity, and accident plans • Paid parental bonding leave after 6 months, with time off increasing with tenure • Professional development reimbursement for role-related growth opportunities