What are the responsibilities and job description for the Data Product Owner, ACRO position at Equifax?
The Data Product Owner position is a high-performing role in support of data management functions for a particular data domain within USIS.
This individual will work within a team of data owners who serve as subject matter experts for the data sources, to ensure the appropriate quality, metadata management and internal and external support are in accordance with our service level commitments. Candidates should be courageous, tenacious, creative, optimistic and curious, with an appetite for growth in business-minded leadership. This role is located in Atlanta (Georgia).
Data Domain Expertise: Understand the lifecycle of the Equifax data sources across all stages from ingestion to production
Business Transformation: Drive the support of migration activities as we move our data sources into the cloud. This will include running validation routines, comparing data results between legacy and cloud systems and working across different USIS teams to coordinate and track project deliverables
Data Quality Monitoring: Own the development of automated, threshold-based reports that efficiently and reliably identify areas for further investigation and improvement. Act on the findings of these reports in a timely manner, prioritizing effort based on business impact.
Metadata Management: In keeping with USIS Data program standards, and in line with the service level commitments for each data source, support the maintenance of our metadata management artifacts (e.g., schemas, business rules, data dictionaries) reposed in Collibra.
Business Partnership and Consulting - Shares basic knowledge of the markets, strategies, and operating environments for a product
Product Thinking - Begins to apply Product Thinking in carrying out job responsibilities
Depth of Technical Knowledge - Developing detailed knowledge of the data and technology supporting a data product
What experience you need
3 years of relevant experience with industry-leading lenders and/or data companies, with a working knowledge of data structure, data handling, the credit lifecycle and data management
3 years of analysis experience in credit risk, telecommunications, financial services, marketing, fraud, or insurance
Strong aptitude and proven ability to develop data-driven solutions to meet business objectives
3 years of experience with data handling/quality tools and Big Data ecosystems i.e. SQL, Google Cloud Platform, BigQuery, and BI Tools (Looker, BigQuery, Tableau, etc.)
3 years of experience with data and business insights analysis which identify and drive ongoing excellence in data quality practices
Bachelor's degree in related discipline
What could set you apart
Familiarity with cloud and on-prem technologies, structured and unstructured data, streaming and reposed data
A strong sense of governance protocols, the need to respect highly sensitive data and proactive attention to regulatory, security and compliance driven policies
Demonstrates leadership with cross-functional efforts; develops effective working relationships with peers, managers, and senior management within and across organizational lines
The ability to manage multiple high-impact projects at the same time
Creativity and drive, coupled with a desire to grow in thought leadership, initiative and strategic thinking
Experience with Collibra, or similar metadata management tool
Experience with Looker, or similar data visualization tool
Experience with SQL, Google BigQuery, Python, Java, or equivalent database queries and views
