Intuit - San Diego, CA

posted 4 months ago

Full-time - Mid Level
San Diego, CA
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

Intuit's Finance Data Governance Team is seeking a Senior Data Governance Analyst to support all finance data governance and management functions. This role is crucial for ensuring that the finance data ecosystem operates efficiently and complies with various regulatory requirements. The ideal candidate will have a passion for data and hands-on experience leading large-scale data management implementations, programming, and change management in this space. As an individual contributor, the Senior Data Governance Analyst will engage with process owners and business data stewards across finance organizations and collaborate closely with technology partners. The successful candidate must demonstrate good business sense, a solid understanding of finance business processes, project management skills, and excellent communication abilities. They will be expected to make data-driven recommendations and work effectively with diverse groups. The role requires the ability to use quantitative and qualitative analytical methodologies and tools, as well as the capability to quickly research, understand, and document new processes and requirements. These foundational skills are essential for success in this position. The responsibilities of the Senior Data Governance Analyst include deeply understanding Intuit's finance data stakeholders, their data needs, the data ecosystem, tech stack, and data products. They will also need to be familiar with data management practices and applicable international and financial service sector-specific data compliance, controls, and risk management requirements, such as SOX controls and report validation, IRS 7216, GDPR, and CCPA/CPRA. The analyst will support business process owners in meeting data compliance requirements, including developing data control statements and requirements, designing and operationalizing data control activities, and continuous issue monitoring and remediation. Additionally, the analyst will collaborate closely with process owners, data stewards, and tech partners to implement and operationalize finance data governance principles and frameworks. This includes defining, implementing, enforcing, and monitoring finance data governance policies and standard operating procedures, such as data cataloging, metadata lifecycle management, data access governance, and data quality and issue management. They will provide hands-on observations, maturity assessments, and program roadmap development for all finance data management areas, identifying opportunities to improve finance data management and operations to meet regulatory requirements and industry-leading practices. The role also involves supporting finance data request governance intake and request lifecycle management, as well as data governance metrics and analytical reporting. The analyst will contribute to Finance's data literacy program by developing a finance data knowledge base, creating training content, conducting communication outreach, and raising awareness. They will support finance data stakeholders, such as data consumers and partners, with a customer-focused approach and assist in Finance Data Strategy projects with data technical expertise and project management leadership.

Responsibilities

  • Deeply understand Intuit's finance data stakeholders, data needs, data ecosystem, tech stack, and data products.
  • Support business process owners in meeting data compliance requirements, including developing data control statements and requirements.
  • Design and operationalize data control activities, continuous issue monitoring, and remediation.
  • Collaborate closely with process owners, data stewards, and tech partners to implement and operationalize finance data governance principles and framework.
  • Define, implement, enforce, and monitor finance data governance policies and standard operating procedures.
  • Provide hands-on observations, maturity assessment, and program roadmap development for all finance data management areas.
  • Identify opportunities to improve finance data management and operations to meet regulatory requirements and industry-leading practices.
  • Support finance data request governance intake and request lifecycle management.
  • Support data governance metrics and analytical reporting.
  • Support Finance's data literacy program, including developing a finance data knowledge base and training content.
  • Conduct communication outreach and raise awareness among finance data stakeholders.
  • Support Finance Data Strategy projects initiatives with data technical expertise and project management leadership.

Requirements

  • Bachelor's degree in computer science, data science, management of information systems, or a similar STEM degree with 5+ years of hands-on working experience in data management and/or data governance.
  • OR Master's degree in computer science, data science, management of information systems, or a similar STEM degree with 3+ years of hands-on working experience in data management and/or data governance.
  • Strong understanding of the finance data ecosystem and technology landscape, finance functions, and business processes that produce or consume finance data assets and products.
  • Hands-on experience in data risk management and data control implementation under SOX, BCBS 239, ISO 8000 series, DAMA DMBOK, IRS 7216, GDPR, CCPA/CPRA.
  • Proficient in technical data skills and hands-on technology experiences: data programming languages such as SQL, Python, data lake and data mart such as AWS S3 and Redshift, data governance tools such as AWS QuickSight, BI tools such as QlikSense and Tableau.
  • Excellent written and verbal communication skills, with the ability to tell stories and present complex ideas in a clear, concise fashion to both technical and non-technical audiences.
  • Strong team player with energy, enthusiasm, and detail orientation to produce high-quality deliverables in a fast-paced environment.
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