Sr. Manager, Integration, Data & AI Platforms

🕒 6 dias atrás

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $165.000 - $188.000 / ano

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

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Element Science, Inc.

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2013

🏥 Saúde

🔧 Hardware

🤖 Inteligência Artificial

💰 $145.600.000 Series C em 2020-03

Healthcare • Hardware • Artificial Intelligence

A Element Science, Inc. é uma empresa de dispositivos médicos que desenvolve e disponibiliza o Jewel Patch Wearable Cardioverter Defibrillator (Jewel Patch-WCD), um desfibrilador vestível em formato de patch desenvolvido para oferecer proteção contínua, fora do ambiente hospitalar, contra ritmos cardíacos potencialmente fatais em pacientes com risco de parada cardíaca súbita. O sistema prioriza a facilidade de uso e o conforto do paciente (rotina semanal de troca da bateria e do patch, além de ser seguro para uso durante o banho), utiliza classificação de ritmos baseada em machine learning para reduzir alarmes falsos e choques inadequados e inclui serviços de suporte ao paciente e orientações detalhadas de segurança. O produto é destinado a adultos (18 anos ou mais) que não são candidatos a desfibriladores implantáveis ou que optam por não utilizá-los, e foi avaliado em estudos clínicos quanto à sua segurança e eficácia.

Descrição

• Own the enterprise integration architecture and delivery roadmap on Dell Boomi • Lead phased integrations between Salesforce and billing, clinical, ERP, payer, and contact-center systems • Design the EMR integration platform and deliver hospital onboarding waves using HL7 v2 and FHIR • Maintain an interface catalog covering data flow, ownership, PHI classification, error handling, monitoring, and SLAs • Establish integration standards, versioning, environments, change control, testing, logging, alerting, and runbooks • Design and deliver the enterprise data platform on Google Cloud, including BigQuery, transformation, and BI layers • Implement data governance covering PHI, PCI, GxP, access controls, lineage, retention, data quality, and audit evidence • Lead master data management for patients, prescribers, accounts, payers, and products • Deliver trusted dashboards and self-service reporting while retiring spreadsheet-based reporting • Own the platform and practices for AI agents and internal applications on Google Cloud • Deliver and operate production AI agents for order quality checks, patient and clinic communications, voice workflows, and revenue-cycle automation • Evaluate emerging AI models, agent frameworks, and tooling through experiments • Implement AI safety practices including evaluation, human-in-the-loop review, prompt and model version control, observability, PHI boundaries, and documentation • Contribute to AI governance, training, vendor assessments, and technical standards • Own the IT-managed Google Cloud environment, including IAM, networking, secrets, cost management, backup and recovery, and infrastructure-as-code • Maintain audit documentation, change records, access reviews, and monitoring evidence for HIPAA, SOC 2 Type II, PCI, and Part 11 • Participate in vendor selection and manage vendor and implementation-partner relationships • Direct and quality-review contractors and implementation partners; hire, develop, and lead a small IT team • Translate business problems into prioritized roadmaps and communicate plans, trade-offs, and progress to stakeholders • Act as technical counterpart and backup to the Head of IT & Security

🎯 Requisitos

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience • 8+ years in enterprise integration, data, or application development within an IT organization, including 2+ years leading technical staff, contractors, or a technical program end-to-end • Hands-on expertise with an enterprise iPaaS — Dell Boomi strongly preferred; MuleSoft, Workato, or Informatica considered — including production deployment, error handling, and monitoring • Strong Python and SQL; experience building and operating production services on a major cloud platform (Google Cloud preferred; AWS or Azure with willingness to work in GCP) • Practical experience building LLM-based applications or agents for production use — orchestration, retrieval, tool use, evaluation, and observability — not just prototypes • Experience designing data warehouses and analytics platforms (BigQuery, Snowflake, or Redshift; modern transformation and BI tooling) • Experience handling protected health information or other highly regulated data, with working knowledge of HIPAA technical safeguards and audit evidence expectations • Demonstrated ability to work as a player-coach in a small company: comfortable building things yourself, directing others, and communicating with non-technical business leaders • Must verify identity and eligibility to work in the United States • Employment visa sponsorship is not available • Preferred: Healthcare interoperability experience with HL7 v2, FHIR, EMR integration, and interface engines or integration partners • Preferred: Familiarity with Salesforce data model and APIs, DME or medical billing systems, revenue-cycle workflows, and payer connectivity • Preferred: Experience integrating ERP systems and contact-center platforms • Preferred: Exposure to FDA 21 CFR Part 11, computer system validation, SOC 2 Type II, or PCI-DSS • Preferred: Python web frameworks, modern front-end experience, infrastructure-as-code, and CI/CD • Preferred: Experience in medical device, digital health, or life sciences companies during commercial scale-up

🏖️ Benefícios

• Stock Options • 90% employer-paid medical, dental, and vision insurance • Company-paid Basic Life Insurance • 401(k) retirement plan (Traditional and Roth) • Competitive Paid Time Off • Paid Holidays • FSA (Flexible Spending Accounts) • HSA (Health Savings Account) • Employee Assistance Program through PEO

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