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Software Engineer II role at Garner Health, a healthcare technology company using large-scale clinical data and AI to improve care quality and reduce costs. The provided description does not include specific responsibilities, technologies, qualifications, compensation, travel requirements, or clearance requirements.

Lead and grow an engineering team building AI-enabled business productivity tools. Partner with internal business units to identify opportunities, deliver web applications and APIs, own secure and reliable services, set technical direction, and improve employee efficiency through AI adoption and foundational platform enhancements.

Lead engineering teams building Garner’s core healthcare product, including data ingestion systems and AI-enhanced product experiences. Provide technical oversight, drive scalable features, mentor and hire engineers, improve quality and delivery speed, manage cross-functional risks and tradeoffs, and protect user privacy and security. The role requires hands-on engineering experience, engineering management experience, and familiarity with web applications, APIs, and AWS cloud infrastructure.

Produces automated and custom client-facing healthcare reports, translating ambiguous business questions into robust analyses and presentations. Builds scalable reporting automation with data engineering partners, improves report efficiency and accuracy, identifies reporting gaps, develops domain expertise, and investigates complex business questions for strategic decision-making. Advocates for strong data visualization, documentation, metric consistency, and stakeholder communication practices.

The Senior Data Engineer will design and maintain data pipelines, build reusable data sets, validate data integrity, and ensure user privacy and security. This role requires strong expertise in SQL and Python, and familiarity with AWS and various data technologies.

Lead Garner Health Intelligence to build and operate doctor-ranking and provider analytics. Own technical direction, product roadmap, production systems, team hiring/development, and business outcomes. Collaborate with Product, Engineering, Clinical, and Commercial teams to ensure algorithms improve cost and quality and drive commercial performance.

The Data Engineer II will build and optimize data pipelines, develop reusable data sets, and ensure data integrity and security.

Lead development and execution of Garner's corporate communications strategy to raise brand awareness, manage media and crisis response, position executives as thought leaders, oversee internal communications, support investor relations, and measure communications performance to optimize brand presence across key healthcare and employer audiences.

Lead a small analytics team to design experiments, run causal analyses, and build measurement frameworks. Partner with Product, Engineering, and leadership to translate complex analyses into actionable recommendations, manage A/B testing and causal methods, mentor analysts, enforce analytical standards, and own measurement strategy across growth and product.

Owner of end-to-end account creation and activation across web and mobile. Optimize sign-up funnel through experimentation and analytics, personalize onboarding, lead account security and SSO integrations, coordinate with engineering/design/data science, and own roadmap and metrics to improve member acquisition, activation, and retention.