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Overview The Data Network Manager serves as a senior analytics leader and subject matter expert responsible for driving enterprise level analytics strategy, leading complex cross functional initiatives, and shaping data governance across the organization. This role blends advanced analytical expertise, project leadership, and organizational governance, including oversight of multiple committees that influence data standards, performance measurement, and strategic planning.
A core component of this role is leveraging Epic data assets including Clarity, Caboodle, and Epic reporting tools to deliver high impact insights that support clinical, operational, and strategic decision making. Responsibilities Enterprise Analytics Leadership Serve as a senior expert and thought leader in data analytics, Epic data structures, and enterprise reporting. Guide the development of advanced analytics solutions, dashboards, and models using Epic and nonepic data sources.
Establish best practices for data quality, governance, and analytical methodologies. Partner with IT, Epic analysts, and data engineering teams to optimize data pipelines and reporting architecture. Strategic Project Leadership Lead high visibility, cross functional analytics projects that support organizational priorities.
Develop project frameworks, timelines, and resource plans; monitor progress and mitigate risks. Coordinate collaboration across clinical, operational, financial, and IT teams. Present findings, recommendations, and strategic insights to senior leadership and executive stakeholders.
Epic Data Integration & Optimization Oversee the use of Epic tools such as Reporting Workbench, Slicer Dicer, Clarity extracts, and Caboodle. Provide guidance on Epic data model interpretation, data availability, and reporting feasibility. Collaborate with Epic application teams to align workflows, documentation, and reporting needs.
Support the development of Epic based self-service analytics capabilities. Committee Oversight & Governance Provide leadership, facilitation, or subject matter expertise for key committees, such as: Data Governance Committee Epic Reporting or Data Stewardship Committees Analytics Steering Committee Quality, Performance Measurement, or Strategic Planning Committees Shape committee agendas, guide decision-making, and ensure alignment with organizational strategy.
Maintain documentation, transparency, and follow-through on committee actions. Stakeholder Engagement & Communication Act as a trusted advisor to leaders across the organization, helping them interpret and apply Epic derived insights. Translate complex analytical concepts into clear, actionable recommendations.
Promote data literacy and support adoption of analytics tools and governance practices. Qualifications Required Bachelor's degree in Data Analytics, Statistics, Computer Science, Health Informatics, Business, or related field. 5+ years of experience in analytics, business intelligence, or project management roles. Demonstrated success leading complex, cross functional analytics projects.
Strong communication, facilitation, and stakeholder management skills. Preferred Epic certifications or proficiencies (e.g., Clarity Data Model, Cogito, Caboodle). Experience in healthcare quality, clinical operations, population health, or revenue cycle analytics.
Experience leading or supporting governance bodies or enterprise committees. Familiarity with enterprise data governance frameworks. Competencies Skills Key Competencies Strategic thinking Advanced analytics expertise Epic data literacy Project and program leadership Data storytelling Governance and facilitation Cross functional collaboration Change management Credentials Education Bachelor's degree in Data Analytics, Statistics, Computer Science, Health Informatics, Business, or related field.
Entry USD $106,392.00/Yr. Max USD $164,902.40/Yr.
About the role
The Data Network Manager serves as a senior analytics leader and subject matter expert responsible for driving enterprise level analytics strategy, leading complex cross functional initiatives, and shaping data governance across the organization.