Senior Manager, Data Engineering

Job Summary At Fuze Health, we put patients first and tirelessly address the most pressing needs in healthcare. We empower millions to digitally connect with care providers, essential health resources and needed treatments – and enable care providers, employers, health plans and life sciences companies to meaningfully enhance quality, outcomes and value. We are dedicated to helping our partners evolve and modernize to meet emerging patient and marketplace needs. Fuze Health’s foundation is built upon the strategic combination of several proven, technology-powered innovators in the digital health, diagnostics, and pharmacy sectors. Our growing portfolio brings together the capabilities of industry leaders including LetsGetChecked, Truepill, and Alto Pharmacy, to create a distinctive, unified force in healthcare. Together, we have the shared vision, advanced capabilities and talented teams to deliver next-generation solutions that patients and healthcare partners need today and into the future. Job Description At Alto, we are transforming the pharmacy experience through intelligent, scalable technology. Data is foundational to how we serve patients, empower operators, and enable smarter decision-making across the business. As the Senior Manager, Data Engineering, you will lead the strategy, architecture, and execution of Alto’s data platform — ensuring that high-quality, trust [... source excerpt omitted ...] gn, and cross-functional partnership — shaping how data is produced, governed, and consumed across a fast-growing, technology-driven healthcare organization. Job Description Key Responsibilities (see above) Leadership & Vision Lead, mentor, and grow a team of Data Engineers, fostering a culture of ownership, technical excellence, and continuous improvement. Define and execute the long-term vision for Alto’s data platform, ensuring alignment with company strategy and product roadmaps. Partner with Product, Engineering, Data Science, Analytics, Finance, and Enterprise teams to prioritize and deliver high-impact data initiatives. Establish clear career paths, performance standards [... source excerpt omitted ...] . Ensure the underlying data platform reliably powers analytics, operational workflows, experimentation, and machine learning use cases — delivering trusted, well-documented, and production-grade data assets to both internal stakeholders and downstream systems. Ensure the reliability, performance, and freshness of data pipelines through strong observability, lineage tracking, testing frameworks, and operational rigor. Scale the platform to support increasing data volume, near-real-time use cases, and expanding business and regulatory complexity. Data Governance, Quality & Operational Excellence Evolve and strengthen existing standards for data governance, access control, priva