Data Infrastructure and Analytics Manager

The Data Infrastructure & Analytics Manager will lead and manage the data infrastructure and analytics team. Reporting to the Director of Data and Analytics, the Manager is responsible for the operational execution of the organization’s data roadmap. This role drives the daily data lifecycle—from acquisition and preparation through evaluation, optimization, and impactful presentation. While the Director sets the high-level strategy, the Manager establishes the technical workflows, security-first protocols, and relationships with end users to ensure data products meet functional requirements and rigorous organizational standards.

The Manager will optimize data infrastructure to maintain high-quality, timely data as a single source of truth, while assembling scalable data products to improve SSHCO’s function and growth. This position balances urgent data requests with long-term technical priorities. Additionally, the Manager is responsible for fostering a culture of collaboration and technical discipline within the team, ensuring staff are supported, mentored, and empowered.

Key Responsibilities

To perform this job successfully, an individual must be able to perform each essential job function satisfactorily. Reasonable accommodation may be made to enable individuals with disabilities to perform essential duties.

• Manage the design, development, and implementation of technical workflows that support the organization's data strategy.
• Collaborate with end users and partners to define specific data needs and translate them into actionable technical requirements.
• Provide direct supervision and technical mentorship to the data infrastructure and analytics team.
• Implement and document foundational security controls and data handling protocols to ensure audit-readiness and compliance with industry-standard security frameworks.
• Establish and monitor data quality and integrity protocols, ensuring that all data products meet the rigorous standards required for internal and external validation.
• Cultivate a trusting, accountable internal team culture that encourages agile problem-solving and operational excellence.
• Communicate complex technical concepts clearly and effectively to users, regardless of their data background.
• Oversee the daily acquisition, cleaning, and transforming of data from various sources using programming, statistical, and analytical tools.
• Lead the technical migration of data warehousing and reporting assets from external vendors to internal proprietary environments.
• Collaborate with IT and Security teams to validate technical safeguards, such as Role-Based Access Control (RBAC) and encryption, within the data ecosystem.
• Engage stakeholders throughout the product development lifecycle to ensure dashboards and datasets meet operational needs.
• Transform diverse data sources into user-friendly products to track key clinical and business trends.
• Maintain data warehousing and visualization standards to ensure accurate reporting for organizational leadership and stakeholders.
• Stay current on emerging advancements in data science and infrastructure for best practices to maintain an efficient data stack.
• Please note this description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of this position. Duties, responsibilities, and activities may change at any time with or without notice.
  
  

Knowledge, Skills, And Abilities

• Master’s degree in data science, statistics, or related field (or equivalent experience).
• Minimum 5 years of experience in data management, data analysis, or a similar role, preferably in a healthcare or public health setting required.
• Minimum of 2 years of experience leading and supervising data and technical teams
• Familiarity with cybersecurity frameworks and experience implementing technical controls and access models within a healthcare environment.
• Strong experience in technical documentation and the ability to maintain the rigorous evidence required for compliance and certification audits.
• History of building teams with a culture of operational excellence and collaboration.
• Deep understanding of clinical documentation and healthcare data, including medical/billing data and payer contract analysis.
• Strong experience with data querying languages (e.g., SQL) and data processing within relational databases.
• Hands-on knowledge of data pipeline systems, including the migration of predictive logic and datasets to internal cloud environments (e.g., Azure).
• Proven experience managing Protected Health Information (PHI) within the Microsoft Azure/Power BI ecosystem.
• Excellent communication, collaboration, and interpersonal skills.
• Strong project management ability, specifically in managing tasks, prioritization, and resource allocation.
• High level of analytical skill with the ability to collect, organize, and disseminate significant amounts of information with diligence and accuracy.
  
  

Supervisory Responsibilities

• Business Analyst
• Clinical Data Analyst