Senior Manager, Ignition - Tax Data Engineer

Responsibilities

• Lead and direct cross-functional teams (data engineers, tax technologists, system owners) in designing, developing, and deploying tax data management solutions.
• Leverage knowledge of tax departments, tax applications, data platforms, ERP/ledger systems, and document management systems to architect and oversee end-to-end data solutions.
• Identify, extract, transform, and analyze data across complex client systems, and implement data warehouses, lakes, marts, and scalable automation between upstream and downstream platforms.
• Oversee data integration and data management projects, including building integrations between client systems, upstream/downstream platforms, and KPMG's Digital Gateway, and developing automated processes to transform, manage, and analyze tax data within KPMG's environment.
• Partner with client stakeholders to define tax data requirements, formulate data strategies, and drive process improvement initiatives that optimize tax department operations through effective data and technology design, management, and integration.
• Own overall project economics, timelines, and deliverables; manage engagement risk, resource allocation, and cross-functional coordination while serving as a subject matter expert on data storage techniques, platforms, databases, ERP/ledger, and document management systems.
• Oversee and review technical documentation and deliverables; present findings and proposals to leadership and clients, provide high-level troubleshooting and technical direction, and supervise, mentor, and develop junior team members.

Qualifications

• Minimum eight years of recent experience in data integrations, ETL / ELT, analysis, and technology implementations, preferably within a professional services firm or corporate tax department.
• A Master's degree from an accredited college or university is preferred; a minimum of a Bachelor's degree in accounting, finance, information systems, computer science, analytics, or a related field from an accredited college or university is required.
• A licensed CPA, JD, LLM, PhD, MBA, or Master's in computer science from an accredited college/university; alternative approved credentials include: CISA, CISSP, CFE, CFF, CORPTAX Certified Professional, TCERTIMP, Alteryx Analytics Designer Core/Advanced, ACA, or Six Sigma Certification (among others on KPMG's approved credential listing); any individual who does not possess at least one of the approved designations/credentials when their employment commences, has one year from their date of hire to obtain at least one of the approved designations/credentials; your recruiter can provide you with the complete list of currently approved credentials.
• Deep expertise in data integrations, engineering, lineage, and governance using cloud based data platforms (Snowflake, Databricks, Informatica, and or Azure Synapse), technical scripting languages (SQL, Python, XML/JSON), and governance tools (Unity Catalog, Collibra, Atlan, and or Purview), with the ability to review technical workflows and guide junior teams.
• Advanced MS Office proficiency expected; Advanced Data Integration experience is expected; ERP/ledger system experience is expected.
• Demonstrated project and team leadership experience, including managing multiple complex projects, overseeing project financials and deliverables, and coordinating multidisciplinary teams.
• Strong analytical and problem-solving skills with proven risk management capabilities, coupled with excellent executive-level communication and strategic business acumen to evaluate new technologies and expand firm capabilities.