Manager of Data Operations overseeing data management and analysis for organizational decision-making at CLA. Leading data quality, integrity, and optimizations within a collaborative environment.
Responsibilities
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.
Develop and enforce standardized playbooks and runbooks for API operations.
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.
Continuously refine playbooks, runbooks, and standardized processes to reduce operational risk, improve mean time to resolution, and scale support capabilities as the platform ecosystem grows.
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.
Benefits
Flexible PTO (designed to offer flexible time away for you!)
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