Manager, Data Operations

Position Overview

The Manager, Data Ops is responsible for leading the governance, scalability and operational excellence of enterprise data and analytics platforms. This role oversees data platform management, data governance, deployment operations, observability and incident management to ensure enterprise data and reporting solutions are business ready.

This role drives operational excellence through monitoring, automation, change management, and continuous improvement, enabling trusted data and analytics capabilities across the organization.

A Day in the Life

Lead day-to-day operational oversight for enterprise data and analytics platforms, including Snowflake, Power BI, Merch BI and related data integration processes. Monitor data pipelines, report refreshes, system availability, and platform performance to ensure timely and accurate delivery of critical business reporting.

Coordinate escalations with Data Engineering, Infrastructure, Analytics, and vendor support teams to resolve complex operational issues. Maintain operational standards, support procedures, runbooks, and knowledge documentation to improve consistency and reduce recurring issues. Track operational metrics, support volume, incident trends, and recurring defects to identify opportunities for automation, process improvement, and service reliability.

Drive continuous improvement in data operations by identifying manual processes, reducing rework, and strengthening monitoring, alerting, and preventive controls. Data Governance: Own and lead enterprise data governance policies, standards, controls, and stewardship processes to ensure data is accurate, consistent, secure, trusted, and compliant with privacy, security, retention, audit, and regulatory requirements.

Establish and enforce data ownership, accountability, stewardship, and decision rights across business and technology teams to drive responsible data management and governance adoption. Partner with business leaders, Data Engineering, Analytics, and IT teams to define, govern, and maintain critical data elements, business definitions, enterprise KPIs, and metadata standards across the organization.

Drive the adoption and ongoing maintenance of data catalog, business glossary, metadata management, data lineage, and other governance capabilities to improve data transparency, accessibility, and trust. Monitor data quality, governance metrics, issue trends, and stewardship activities; coordinate remediation efforts and drive continuous improvement through process optimization, automation, and governance best practices.

Platform Engineering: Lead platform engineering and administration activities to ensure enterprise data and analytics platforms are reliable, scalable, secure, and aligned with business needs, including configuration, access management, and support for platforms such as Snowflake, Power BI, Informatica, and related technologies.

Partner with Infrastructure, Security, Data Engineering, and vendor teams to maintain platform stability, performance, availability, and operational readiness through effective environment management, upgrades, patching, integrations, and release coordination. Establish and enhance platform observability, monitoring, alerting, and service health capabilities to proactively identify risks, manage capacity and usage trends, and improve overall platform reliability and performance.

Drive automation, self-service capabilities, engineering standards, operating procedures, and support models to improve operational efficiency, strengthen controls, and reduce recurring issues and manual support effort. Team Leadership Lead, coach, and develop a team responsible for data operations, platform support, production reporting, and issue resolution.

Manage team priorities, resource planning, workload distribution, and delivery expectations to ensure timely support of business-critical data and reporting needs. Establish clear operating routines, support processes, escalation paths, and accountability measures to improve team effectiveness and service reliability.

Partner across IT, Data Engineering, Analytics, Infrastructure, Security, and business teams to align priorities and drive operational outcomes. You'll Come With Experience: 7+ years of IT application support experience. 3+ years of leadership or management experience. Experience supporting enterprise data and analytics platforms in a production environment.

Technical Skills: Snowflake: User access management, query performance monitoring, troubleshooting data loading, and reporting issues. Power BI: Dataset refresh management, report troubleshooting, gateway support, workspace administration, and user access management. Informatica: Monitoring ETL processes, administrative tasks, workflow execution, job failures, and data integration troubleshooting.

Experience with Service. Now, Jira, or similar ticketing systems. Understanding SQL, data warehousing concepts, and cloud-based data platforms. Desired: Knowledge of Cloud based data solutions preferably Microsoft Azure Retail Back group desirable Knowledge of Data Governance tools preferably Informatica Strong leadership and excellent communication and stakeholder management skills.

Strong analytical and problem-solving ability to manage multiple priorities in a fast-paced environment #LI-ML1 Come join our team. You’re going to like it here! You will enjoy competitive wages, flexible hours, and an associate discount. Burlington’s benefits package includes medical, dental and vision coverage including life and disability insurance.

Full-time associates are also eligible for paid time off, paid holidays and a 401(k) plan. We are a rapidly growing brand and provide a variety of training and development opportunities so our associates can grow with us. Our teams work hard and have fun together! Burlington associates make a difference in the lives of customers, colleagues, and the communities where we live and work every day.

Burlington Stores, Inc. is an equal opportunity employer committed to workplace diversity Individual pay decisions will be based on a variety of factors, such as but not limited to, qualifications, education, job-related skills, relevant experience, and geographic location.

Compensation

$115,000.00 - $150,000.00