Data Operations Manager

Role Overview

• Partner with business, technology, and product teams to define roadmaps that advance operational enablement, API reliability, and integration maturity across the firm.
• Lead the establishment and enforcement of standardized operational frameworks, including incident, request, change, and problem management workflows, with ServiceNow as the system of record.
• Define and govern standards for API security, lifecycle management, documentation, and support readiness.
• Review functional and technical documentation for new or changing applications to assess operational impact, workflow integration, and supportability.
• Act as a strategic advisor by identifying opportunities to improve automation, observability, and cross-platform process consistency at the enterprise level.
• Design, document, and maintain end-to-end operational workflows using ServiceNow, flowcharting, and process modeling tools to ensure consistent execution across teams.
• Develop and enforce standardized playbooks and runbooks for API operations, including deployment, incident response, escalation, rollback, and recovery procedures.
• Ensure that API and integration deployments comply with regulatory requirements, security policies, and industry best practices.
• Establish repeatable methodologies for release readiness, change management, and post-deployment validation, embedding controls and approvals directly into automated workflows.
• Oversee day-to-day operational support for APIs and integrations, including performance monitoring, incident resolution, and service-level management.
• Collaborate closely with Risk, Information Security, and Information Governance teams to ensure compliant access, auditability, and adherence to standardized processes.

Requirements

• 7 years of experience required
• Bachelor's degree or a combination of relevant experience and training may be considered in lieu of a degree.
• Proficiency in logical and physical database design using technologies such as Microsoft SQL Server and PostgreSQL.
• Experience with big data platforms, including Azure Data Lake, Azure Databricks, and Azure Data Factory.
• Strong understanding of API development, system integrations, and ETL processes, including modern data‑movement and orchestration practices.
• Advanced fluency in SQL and SSIS for data querying, transformation, and pipeline development.
• Familiarity with additional programming languages, such as Java, Python, or Microsoft .NET, to support data engineering, automation, and application integration efforts.

Tech Stack

• Azure
• ETL
• Java
• MS SQL Server
• Postgres
• Python
• ServiceNow
• SQL
• SSIS
• .NET

Benefits

• Flexible PTO (designed to offer flexible time away for you!)
• Up to 12 weeks paid parental leave
• Paid Volunteer Time Off
• Mental health coverage
• Quarterly Wellness stipend
• Fertility benefits