Overview
Manager, Data Operations role at KPMG US. This hybrid opportunity sits within the Digital Nexus technology organization.
KPMG provides audit, tax and advisory services to organizations in today's most important industries. The team focuses on delivering real results for clients and building an inclusive, developmental culture.
Responsibilities
- Manage and lead a team of Managed Service Provider (MSP) personnel, ensuring efficient monitoring of data pipelines and rapid response to incidents.
- Ensure the stability and reliability of the data platform; address technical issues as they arise and maintain documentation for data operations processes, including design, configuration, and troubleshooting guides.
- Monitor performance against Service Level Agreements (SLAs) and implement corrective actions to ensure SLAs are consistently met.
- Provide input for roadmap planning and identify opportunities for improvement and innovation within data operations; liaise with cross-functional teams to align on data operations initiatives and priorities.
- Oversee daily monitoring and analysis of end-to-end data performance and communicate results to relevant stakeholders.
- Offer guidance and coaching to internal and MSP technical staff, fostering a culture of continuous learning; serve as the point of escalation for operational issues to minimize business impact.
Qualifications
- Minimum five years of experience in managing data operations, with strong understanding of data pipeline monitoring and incident response.
- Bachelor's degree from an accredited college or university in information technology, computer science, management information systems, computer engineering or related field is preferred.
- Familiarity with Managed Service Provider operations and collaboration; experience providing input for strategic planning and roadmap development.
- Strong documentation skills, with the ability to create and maintain detailed technical documents; demonstrated ability to meet SLAs and performance metrics, with a focus on continuous improvement; strong analytical and problem-solving skills are a plus.
- Excellent communication and interpersonal skills, with the ability to liaise with cross-functional teams and stakeholders; ability to analyze data performance and translate findings into actionable insights; mentoring and coaching technical staff is a plus.
- Practical experience with relevant data technologies and tools such as Azure Data Lake Storage Gen2, Azure Data Factory, Azure Databricks, Azure Blob Storage and GenAI; proven track record of successfully managing and resolving data incidents is desired.
KPMG is an equal opportunity employer and complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable laws.
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