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KPMG Data Operations Manager - Advisory Data Organization in Cincinnati, Ohio

Business Title: Data Operations Manager - Advisory Data Organization

Requisition Number: 85120 - 68

Function: Advisory

Area of Interest:

State: OH

City: Cincinnati


Historically, the travel requirement for this position has ranged from 80-100%. The safety and well-being of our people continues to be the top priority, and our decisions around travel are informed by government COVID-19 response directives, recommendations from leading health authorities, and guidance from a number of infectious disease experts. For now, all KPMG business travel, international and domestic, is currently restricted to client-essential sales/delivery activity only. At some point in the future and with the safety of people as the critical factor, the travel requirement will likely increase, possibly to previous levels, but KPMG is committed to balancing client requirements with new delivery capabilities.

The KPMG Advisory practice is currently our fastest growing practice. We are seeing tremendous client demand, and looking forward we don't anticipate that slowing down. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility and leading market tools, we make sure our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory.

KPMG is currently seeking a Data Operations Manager - Advisory Data Organization to join our Advisory Services ( practice.


  • Lead a team of US-based and offshore data engineers to design, implement, and maintain cloud-based data integrations, including data pipelines, data quality rules, and metadata management capabilities for landing of quality data into the data marketplace for end user consumption

  • Collaborate with business, technical, and product teams to understand, assess, and translate product requirements in design specs for build of marketplace data products. Collaborates with Advisory technology teams to implement as applicable

  • Lead the design and implementation of cloud native data storage features and capabilities for OLAP and analytics workloads, including data lake and date warehouse profiles

  • Manage and maintain data-related operationalization of cloud native, cloud-based, and desktop-based advanced analytics and machine learning, data visualization, and business intelligence solutions

  • Partner with Technology teams to support deployment and leverage of a structured agile operations framework (such as DevOps) to drive automation of data and analytics platforms and associated solutions

  • Provide triage (L3) and proactive business stakeholder support for data operations functions, including collaborations with third party data and tool vendors related to ingestion and maintenance of quality data


  • Minimum eight years of relevant experience in data engineering and data operations

  • Bachelor's degree from an accredited college/university

  • Deep understanding of data lifecycle management supported and enabled by modern cloud-based technologies; ability to lead a geographically distributed team

  • Strong experience with one or more modern data lake and data warehouse solutions including Snowflake, Azure SQL, Azure Data Lake, Cloudera and Hadoop; prior experience with one or modern data integration solutions such as Informatica Intelligent Cloud Services, Talend Cloud and Collibra

  • Proven experience with one or modern data protection solutions including but not limited to Starburst, Denodo, Protegrity and Baffle as well as with one or modern data streaming solutions like Confluent Kafka, Apache Kafka, Azure Event Hub and AWS Kinesi

  • Previous experience with one or more modern CI/CD solutions inclusive of Azure DevOps, Github and Bitbucket along with one or more modern advanced analytics tools for machine learning / AI solutions for example, Spark, DataBricks, Python and R; experience with one or more modern advanced business intelligence & visualization solutions (such as PowerBI, Tableau, amongst others) a plus

KPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG 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, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.

At KPMG, any partner or employee must be fully vaccinated or test negative for COVID-19 in order to go to any KPMG office, client site or KPMG event. In some circumstances, individuals who are not fully vaccinated may also be required to have a reasonable accommodation to not be fully vaccinated for COVID-19.

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