KPMG - Saint Louis, MO

posted about 2 months ago

Full-time - Senior
Saint Louis, MO
Professional, Scientific, and Technical Services

About the position

The KPMG Advisory practice is currently our fastest growing practice, driven by tremendous client demand. We are looking for a Lead Specialist to join our Federal Advisory practice, where professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority, and we provide a wealth of learning and career development opportunities, a world-class training facility, and leading market tools to ensure our employees continue to grow both professionally and personally. This role offers the chance to be part of a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility to explore new areas of inspiration and expand your capabilities. As a Lead Specialist, you will be responsible for planning, leading, and executing the delivery of data and AI engagements. This includes defining objectives and key deliverables while managing and mitigating risks associated with data, modeling, validation, and delivery. You will lead workshops and innovation sessions with clients and cross-functional teams to identify business opportunities, define problem statements, and design high-level analytical solutions. Engaging with clients to discover data sources and create data requests will be a key part of your role, as will leading data discovery and ETL/ELT processes to ingest structured data and enrich unstructured data from various sources. You will oversee the creation of analytics and machine learning models through all phases of development, from design through training, evaluation, validation, and implementation. Additionally, you will define, monitor, and report key business metrics, as well as design, implement, and manage various reporting processes and dashboards. Leveraging modern big data tools and approaches to solve complex business objectives will be essential in this position.

Responsibilities

  • Plan, lead, and execute delivery of data / AI engagements, including definition of objectives / key deliverables while managing and mitigating risks in data, modeling, validation, and delivery.
  • Lead workshops and innovation sessions with clients, multi-disciplinary, and cross-functional teams to identify business opportunities, define problem statements, and design high level analytical solutions.
  • Engage with clients to discover data sources and create data requests; Lead data discovery and ETL/ELT processes to ingest structured data and annotation processes to enrich unstructured data leveraging a variety of data sources.
  • Oversee the creation of analytics and machine learning models through all phases of development, from design through training, evaluation, validation, and implementation.
  • Define, monitor, and report key business metrics.
  • Design, implement, and manage various reporting processes and dashboards.
  • Leverage a variety of modern big data tools and approaches to solve complex business objectives.

Requirements

  • A minimum of five years of Data Architecture / technical experience; U.S. Federal government consulting experience preferred.
  • Bachelor's degree from an accredited college/university.
  • Familiarity with Data Lake / Data Warehouse architecture, design, implementation, dimensional modeling, data profiling, and source to target mapping best practices.
  • Familiarity with data governance and management strategies, including data standards, data policies, metadata management, master data management.
  • Experience utilizing data modeling tools such as ERWin, ER Studio, Power Designer, IBM Data Architect.
  • Strong SQL skills and working knowledge of relational databases such as SQL Server, Oracle, PostgreSQL; knowledge of distributed databases such as Netezza, Teradata, Amazon Redshift etc.
  • Familiarity with data science concepts, business intelligence applications, warehouse design, as well as analytics in cloud and hybrid environments.
  • Ability to travel as required to support firm engagements.
  • U.S. Citizenship required and an active U.S. Federal Government Secret Security.

Benefits

  • Disability insurance
  • Health insurance
  • Dental insurance
  • 401(k)
  • Vision insurance
  • Life insurance
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