Join EY and build a rewarding career with a global leader. This Manager - Data Operations role is pivotal in overseeing enterprise data pipelines and platforms critical for corporate finance transformation. You will drive daily operations, manage incidents, ensure data quality, and foster continuous improvement, enabling business users to access trusted data within defined service levels. This position offers a unique opportunity to blend hands-on operational oversight with leadership, supporting key finance processes.

Oversee the daily operations of batch and streaming data pipelines, including ingestion, transformation, and delivery. Monitor job execution, identify and resolve data discrepancies and performance issues. Develop and maintain operational runbooks, standard operating procedures, and escalation paths. Lead incident response, coordinating business impact assessment and service restoration. Plan and prioritize operational workloads to meet Service Level Agreements (SLAs) and critical business deadlines.

Implement incident, problem, and change management practices. Track and report on pipeline success rates, SLA adherence, and incident volumes, using trends to drive service improvements. Automate repetitive tasks and work with engineering teams to reduce manual effort and recurring incidents. Operate data quality checks and manage exceptions with data owners.

Lead a team of data operations analysts and support engineers, fostering a culture of accountability and service ownership. Manage capacity planning, onboarding, performance feedback, and training to develop team capabilities. Coach team members on troubleshooting, data validation, incident handling, and stakeholder communication.

Partner with finance stakeholders, data owners, and reporting teams to understand data dependencies and business priorities. Collaborate with data engineering, platform, security, and governance teams to resolve operational issues. Support the onboarding of new data services and communicate service status, incidents, and improvements to stakeholders clearly.

A Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience is required. You should possess 7+ years of experience in data operations, data engineering support, production support, or analytics operations, with a proven track record of managing enterprise data services. Additionally, 2+ years of experience in team leadership or people management is essential.

Technical expertise includes hands-on experience with major cloud platforms (Azure, AWS, or GCP), strong SQL skills, and a solid understanding of ETL/ELT processes, relational databases, data warehouses, and data lake/lakehouse environments. Proficiency in data orchestration tools (e.g., Airflow, Azure Data Factory, Spark, dbt, Kafka) and working knowledge of Python or shell scripting, APIs, and monitoring tools are necessary.

Demonstrated ability to manage production data services against SLAs, prioritize incidents, and coordinate effective service restoration is crucial. Experience with incident, problem, and change management, along with familiarity with ITIL, DevOps, or DataOps practices, is expected. Exposure to corporate finance processes (P2P, O2C, R2R, FP&A) and finance data flows is preferred.