Mid Level Support Manager Jobs
Mid level support manager jobs go to professionals ready to own support operations end to end, mentor junior staff, and drive quality decisions with minimal oversight. Openings are spread across on-site, hybrid, and remote settings in Retail, Technology & Software, and Healthcare & Medical Services, with employers like Amazon, RBUS, and Optum hiring at this level now.
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Become part of the Beebe team - an inclusive team positioned in a vibrant, coastal community. Enjoy a fulfilling career as you support the health of our patients and a team focused on excellence.
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
Education:
- Bachelor's degree in Data Analytics, Statistics, Computer Science, Health Informatics, Business, or related field.
Become part of the Beebe team - an inclusive team positioned in a vibrant, coastal community. Enjoy a fulfilling career as you support the health of our patients and a team focused on excellence.
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
Education:
- Bachelor's degree in Data Analytics, Statistics, Computer Science, Health Informatics, Business, or related field.
See All 27 Mid Level Support Manager Jobs
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Find JobsMid Level Support Manager Job Market
Who's Hiring
Top Industries Hiring
- Retail
- Technology & Software
- Healthcare & Medical Services
- Education
- Insurance
Mid Level Support Manager Jobs: Frequently Asked Questions
How do I get a mid level support manager job?
Position yourself by highlighting ownership, not just participation. Emphasize support tickets resolved, processes you redesigned, junior team members you coached, and customer satisfaction improvements you drove. Applications that show measurable outcomes and cross-functional collaboration consistently outperform those that only list responsibilities. Tailor your resume to match the scope described in each job posting, and prepare to discuss how you have led work without constant direction.
Which companies hire mid level support managers?
Companies hiring mid level support managers right now include Amazon, RBUS, and Optum, based on current listings on Migrate Mate as of November 2026. At this level, hiring comes from a broad mix of fast-growing startups building out their customer operations and large enterprises replacing or expanding experienced support leadership.
Are there remote mid level support manager jobs?
Yes, remote and hybrid options are well represented at this level. About 39% of mid level support manager openings are remote or hybrid as of November 2026, reflecting how many organizations now manage distributed support teams. Roles that require on-site presence tend to be in industries where customer interaction or hardware support demands a physical presence.
How do I move up to a mid level support manager role?
Moving into a mid level support manager role comes from consistently taking on more than your job description requires. Build depth by owning a support queue or workflow improvement from start to finish, volunteering to onboard or coach newer team members, and documenting results in a way hiring managers can read quickly. Demonstrating that you have driven outcomes rather than just completed tasks is what distinguishes mid level candidates from entry level ones.
Which industries hire the most mid level support managers?
Mid Level support manager roles concentrate in Retail, Technology & Software, and Healthcare & Medical Services, based on current listings on Migrate Mate as of November 2026. These sectors tend to run large customer-facing operations with enough team structure to need dedicated mid level managers who can handle day-to-day leadership while senior staff focus on strategy.