Senior Data & Business Analytics Manager

Senior Data & Business Analytics Manager (Remote)

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Salary Range: $140,000 - $175,000 per year, based on relevant years of experience

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Location: Remote

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Status: Full time, 40 hours per week

The salary range for this position is SummitStone’s good faith belief and reasonable estimate of the range of possible compensation for this position at the time of the posting. SummitStone may ultimately offer more or less than the posted range. The compensation offered to the successful applicant may vary based on factors including the applicant’s education, training, skills, experiences, and other job-related information and how relevant those are to SummitStone’s needs, aspirations, organizational priorities, and the evolving needs and delivery of services to the community that it serves.

Role Overview:

Responsible for leading the organization's data and analytics function by developing, maintaining, and governing enterprise data platforms, reporting solutions, and business intelligence capabilities that support strategic, operational, financial, and clinical decision-making. This role oversees data architecture, data engineering, analytics, reporting, data governance, and privacy practices to ensure the availability, integrity, security, and effective use of organizational data assets. The position partners closely with business, clinical, and executive leaders to translate data into actionable insights, establish trusted performance metrics, and drive a culture of data-informed decision-making. Additionally, this role provides leadership and development for data and analytics teams, manages vendor relationships and technology investments, and ensures compliance with healthcare data standards, regulatory requirements, and organizational objectives.

Essential Duties:

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Lead Data Platform Strategy and Operations : Oversee the organization's data warehouse/lakehouse environment, ensuring scalable, reliable, and cost-effective data architecture and operations.

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Manage Enterprise Data Integration : Direct the development and maintenance of data pipelines and integrations across clinical, operational, financial, human resources, and external data sources.

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Establish Data Modeling and Analytics Standards: Develop and maintain enterprise data models, semantic layers, and standardized metric definitions to ensure consistency and reusability across reporting and analytics.

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Oversee Data Engineering Practices: Establish standards for development, testing, deployment, version control, code review, and platform governance to ensure quality and reliability.

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Monitor Data Platform Performance and Reliability: Ensure data pipeline health, system performance, data freshness, and issue resolution through proactive monitoring and continuous improvement practices.

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Lead Business Intelligence and Reporting Functions: Oversee the development and delivery of executive dashboards, operational reporting, and enterprise analytics solutions that support organizational decision-making.

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Manage Enterprise Metrics and Reporting Governance: Maintain a catalog of key performance indicators, business definitions, data lineage, and reporting ownership to support consistent and trusted reporting.

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Partner with Business and Clinical Leaders: Collaborate with operational, clinical, financial, quality, revenue cycle, and human resources leaders to translate business needs into actionable data, analytics, and reporting solutions.

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Support Regulatory, Quality, and External Reporting Requirements: Ensure the availability, accuracy, and timely delivery of reporting required for regulatory programs, payer reporting, quality initiatives, and governing board oversight.

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Establish and Maintain Data Governance and Privacy Controls: Implement data governance practices that support data quality, security, privacy, role-based access, data lineage, and compliance with organizational and regulatory requirements.

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Ensure Data Qu