Our Opportunity:
At Chewy data drives all our decision-making; our Finance organization is no exception. Chewy is seeking aData Governance Analyst III to join our Finance and Accounting Team! In this role you will steer us toward a data-driven future. You will oversee building a team devising and executing the strategies and establishing a Finance Data Governance Function. You will collaborate closely with Finance Accounting Tax and IT to define the enterprise Finance data strategy and collectively deliver value across: 1) Master Data Management & Configuration 2) Data Definitions and Quality
What youll do:
- Manage a team to own finance data processes and strategy including master data creation & maintenance data definitions and data quality monitoring
- Build a framework for master data definition approval and creation starting with Chart of Accounts Master Data (Cost Centers Accounts etc.)
- Deliver a strategic roadmap encompassing standardizing data definitions and classification governance change management and data security practices; this will include building the business case and advocating for the people processes and tools required in the Finance Data Governance team
- Define and shape the enterprise data ownership models across all areas within Finance across applications (Allocations Engine Oracle ERP Oracle EPM Coupa Vertex) data warehouses (Snowflake) and reporting/analytics (Tableau)
- Collaborate with a cross-department operating committee to ensure data changes for non-financial data are assessed and validated
- Identify data use cases and gaps in data definitions working with upstream data owners and consumers to align these to enterprise data definitions and implement them into the overall data ecosystem
- Think creatively to find efficient solutions to our complex often unstructured problems
- Mitigate compliance risk and support auditing
What youll need:
- Bachelors degree in computer science statistics mathematics or a related field
- 5 years of experience in data strategy data governance data management data engineering or a related field
- Excellent leadership and team management skills with the ability to inspire and guide teams to success
- Strong understanding of data-driven business models within the Finance capability
- Track record of delivering measurable results in a fast-paced environment
- Strong interpersonal skills are necessary to explain system issues to non-technical personnel.
- Ability to learn new concepts and applications quickly.
- Demonstrate an analytical methodical and creative approach to resolving issues.
- Familiarity with data governance and compliance frameworks
- Working knowledge of IT security policies standards and protocols as it relate to Finance data protection
- Experience with Finance technologies (Allocations Engine Oracle ERP Oracle EPM Coupa Vertex) and Data Warehouses (Snowflake)
Bonus:
- Ability to manage a team that will deliver data engineering pipeline solutions for Finance and Accounting improving data availability and visibility into item-level profitability across the organization
- Familiarity with data engineering tools including Airflow PySpark DBT AWS Control M
Required Experience:
IC