Senior Manager, Data Operations

Medical Guardian; Philadelphia (Philadelphia County); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Health plan (Medical, Dental & Vision)

Paid time off

Company-paid Short Term Disability and

Life Insurance

401k with company match

Job summary

Medical Guardian is seeking a Senior Manager of Data Operations to lead the Data Operations function, governing enterprise data services, reporting, and processes. You will oversee a team supporting the data warehouse, dbt models, and analytics, partnering with Data Engineering to maintain continuity, quality, and executive-ready insights.

The role requires shaping the operating model, defining service levels, and driving improvements while protecting PHI and sensitive member data across

Qualifications

• 8+ years of experience in data operations, analytics, BI, or data management.
• 4+ years of direct people leadership experience.
• Experience managing data services, reporting operations, data quality, SLAs, incidents, and stakeholder expectations.

Responsibilities

• Lead Data Operations team; define operating model, service levels, and continuous improvement.
• Oversee data warehouse operations and dbt-based modeling; ensure quality and documentation.
• Partner with Data Engineering and EA to align data products with business needs.
• Establish governance, lineage, security, and PHI handling across data platforms.
• Provide executive reporting on performance, capacity, and priority of data services.
• Coordinate data incidents, root-cause analysis, and corrective actions.

Skills

Data governance

Data warehousing

dbt

SQL

BI reporting (Power BI/Tableau)

Leadership

Stakeholder management

HIPAA awareness

Cloud platforms

Analytics engineering

Education

Bachelor's degree in Data Science/Analytics/CS/IS

Master's degree preferred

Tools

Power BI

Tableau

Azure Databricks

dbt

Job description

About Medical Guardian:

Medical Guardian is a fast-growing digital health and safety company on a mission to help people live a life without limits. With 14 consecutive years on the Inc. 5000 list of Fastest Growing Companies, we are redefining what it means to age confidently and independently.

We support over625,000 membersnationwide with life-saving emergency response systems and remote patient monitoring solutions. Trusted by families, healthcare providers, and care managers, our work is powered by a culture of innovation, compassion, and purpose.

General Responsibilities:

The Senior Manager of Data Operations leads the organization's Data Operations function and ensures that enterprise data services, reporting capabilities, and operational processes are reliable, governed, secure, and aligned with business priorities. The roleestablishesthe operating model, service expectations, and continuous-improvement direction andadvisestechnology and business leadership.

The Senior Manager will lead a team of individual contributors supporting the organization's current data warehouse,dbtmodels, business reporting, data quality processes, and operational analytics. As the company's data architecture and platforms evolve, the Senior Manager will partner closely with Data Engineering tomaintaincontinuity, quality, documentation, and effective business support.

The Senior Manager will serve as the primary operational bridge between business stakeholders and Data Engineering,establishingpriorities, service levels, governance practices, and measures of success for enterprise data services. Protecting PHI and other sensitive member informationremainsa critical responsibility.

To advance theseobjectives, the Senior Manager of Data Operations will lead the people, processes, controls, and partnerships needed to deliver reliable and trusted data services. Key responsibilities include:

• Lead, coach, and develop Data Operations individual contributors whileestablishingthe team's operating model, service roadmap, priorities, standards, measures of success, and continuous-improvement direction.
• Own portfolio intake, capacity planning, prioritization, coordination, and status communication for business reporting, dashboard, and operational data requests, balancing business value, risk, urgency, and available resources.
• Oversee the operational management of the organization's data warehouse anddbt-based modeling processes, ensuring reliable delivery, documentation, quality, and support.
• Serve as the senior operational representative for Data Operations and business-service requirements in data architecture and platform discussions, influencing priorities and operating decisions with Data Engineering and Enterprise Architecture.
• Partner with Data Engineering toestablishclear operational and technical ownership for data products, models, pipelines, documentation, quality controls, lineage, and ongoing support.
• Translate business needs into clear requirements, priorities, acceptance criteria, and operational expectations for Data Engineering and other technology partners.
• Establish andmonitorservice-levelobjectivesfor critical reports, dashboards, datasets, and operational data processes, including availability, freshness, completeness, accuracy, and delivery timeliness.
• Coordinate data incident response, stakeholder communication, root-cause analysis, corrective actions, and follow-through fordata-service failures and recurring quality issues.
• Maintain an inventory of critical data products, business owners, technical owners, dependencies, authoritative sources, lineage, and service expectations.
• Partnerwith business stakeholders to define and govern key performance indicators, semantic definitions, and trusted reporting sources, reducing duplicate or conflicting metrics and data models.
• Oversee business reporting and visualizationpracticessocomplex information is communicated clearly and consistently to executive and functional stakeholders, including Finance, Marketing, Operations, and other business areas.
• Coordinate business acceptance testing and validation for new or materially changed data products, reports, dashboards, and operational processes.
• Develop and manage data governance and operating procedures in partnership with Security, Privacy, Compliance, Data Engineering, and Enterprise Architecture, including data quality, access, documentation, lineage, retention, and secure handling of PHI and other sensitive data.
• Provide executive-level reporting on Data Operations performance, business impact, risks, capacity, and priorities, including reliability, data quality, incident trends, delivery time, backlog health, and adoption of trusted reporting assets.
• Manage relationships with external data vendors, partners, and consultants as needed.

Technical Requirements

This role requires sufficient technical depth across the data stack to manage operational performance, evaluate risks and outcomes, and partner effectively with engineering teams.

• Strong understanding of modern data warehousing andlakehouseconcepts,dbt, dimensional data modeling, semantic layers, and business intelligence delivery.
• Ability to assess data-service health,identifyoperational and data-quality risks, understand technical trade-offs, and work effectively with data engineers and architects.
• Practical SQLproficiencysufficientto investigate data issues,validateresults, understand data models, and evaluate the quality and usability of delivered data products.
• Experienceestablishingautomated and operational data-quality controls, including monitoring, alerting,issuetriage, ownership, remediation tracking, and reporting.
• Experience applying service-management practices to data products, including service levels, incident management, problem management, change coordination, root-cause analysis, and continuous improvement.
• Strong knowledge of data governance, metadata, lineage, access control, privacy, retention, and secure data-handling practices in a regulated environment.
• Working knowledge of Git-based version control, CI/CD, automated testing, orchestration, and observability concepts as they apply to analytics engineering and data pipelines.
• Experience with reporting and visualization platforms such as Power BI or Tableau, including the governance and adoption of curated dashboards and reporting assets.
• Experience with cloud-based data platforms; experience with Azure, Databricks,dbt, or comparable technologies is preferred.
• Working knowledge of HIPAA requirements and methods for protecting PHI and other sensitive member data, including least-privilege access, masking or de-identification, auditability, and secure handling throughout the data lifecycle.

Education/Experience

• Bachelor's degree in Data Science, Analytics, Computer Science, Information Systems, or a related field, or equivalent practical experience; a master's degree is preferred.
• 8+ years of experience in data operations, analytics, business intelligence, data management, or a related environment, including progressively responsible technical, operational, and leadership responsibilities.
• 4+ years of direct people-leadership experience, including coaching, performance management, team development, capacity planning, and delivery accountability.
• Demonstrated experience managing business-facing data services, reporting operations, data quality, service levels, incidents, priorities, and stakeholder expectations.
• Experience overseeingdbt-based analytics or data-modeling work and leading data operations through changes in platforms, architecture, team responsibilities, or operating models.
• Strong ability to guide and mentor data analysts, analytics engineers, report developers, or similar data professionals while partnering effectively with data engineers, data scientists, and architects.
• Demonstrated success translating organizationalobjectivesinto practical data-service priorities, operating processes, and measurable outcomes.
• Experience in healthcare and/or retail is a plus; experienceoperatingin a regulated, compliance-driven environment such as HIPAA, SOC 2, or PCI DSS is strongly preferred.
• Excellent leadership, written and verbal communication,stakeholder-management, problem-solving, andcritical-thinkingskills.
• Candidates must be able to work from Philadelphia, PA office on Tuesdays and Wednesdays.
• Must be legally authorized to work in the United States without current or future employer sponsorship.

• Health Care Plan (Medical, Dental & Vision)
• Paid Time Off (Vacation, Sick Time Off & Holidays)
• Company Paid Short Term Disability and Life Insurance
• Retirement Plan (401k) with Company Match