Senior Director, Revenue Reporting Platform Lead
VisaAbout the role
Company Description
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.
Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.
Job Description
Visa is seeking a passionate, authentic, dynamic and results-oriented leader to join the Data Strategy and Governance (DSG) team as the Senior Director, Revenue Reporting Platform Lead. DSG is part of the Finance Velocity Office (FVO) tasked to build a foundation that supports the growth and complexity of our business and improves the day-to-day interactions of our Finance teams. DSG works tightly with the broader FVO to implement solutions to evolve how we work together to achieve meaningful, sustainable change and enable our long-term growth agenda.
The Revenue Reporting Platform Lead will be accountable for directing the transformation of data from various source systems to the revenue reporting tool called GARP (Global Analytical and Reporting Platform). This position ensures that data architecture and models adhere to enterprise standards, facilitating seamless data integration and accessibility. This role is responsible for implementing the organization’s data management strategy and operations. Responsibilities include ensuring data integrity, security, and accessibility while driving data governance initiatives. The Lead will collaborate with cross-functional teams to design, implement, and optimize data management solutions that support business objectives and drive data-driven decision-making. Strong leadership, technical expertise, and a thorough understanding of data management principles are essential for success in this role.
Essential Functions:
- Data Architecture: Ensure data models align with enterprise standards to ensure data integrity and consistency
- Data Integration: Oversee the integration of data from multiple sources, ensuring data quality and accuracy
- Continuous Improvement: Evaluate and enhance data processes and systems for performance, scalability, and reliability
- Compliance and Security: Ensure data solutions comply with regulatory requirements and data security standards
- Documentation: Maintain comprehensive documentation of data processes, architectures, and models
- Data Governance: Develop and implement data governance policies and procedures to ensure data integrity, security, and compliance with regulatory requirements
- Data Strategy: Define and execute a comprehensive data management strategy that aligns with the organization’s business objectives
- Data Quality: Establish and maintain data quality standards, ensuring accurate, reliable, and timely data across the organization
- Collaboration: Work closely with cross-functional teams, including IT, analytics, and business units, to ensure data management practices support organizational goals
- Reporting: Partner with the Reporting SOE as needed to support the creation of ad-hoc or proof-of-concept reports
- Production Support: Ensure all processes are followed for monthly reporting, and data is available based on established SLA. Analyze potential issues and identify solutions to meet user needs
Key Skills:
- Extensive knowledge of data extraction, transformation, and loading (ETL) processes
- Proficiency in data modeling, database design, and data warehousing
- Expertise in data integration tools and technologies, with familiarity with financial reporting regulations and standards
- Ability to maintain and improve Data Quality, ensure adherence to Data Governance guidelines, and provide metadata management services
- Competence in designing and implementing data solutions that meet business requirements and facilitate data-driven decision-making
- In-depth understanding of available data and the capability to conduct database management and data queries
- Strong mathematical skills for analyzing data and providing meaningful insights for decision-making purposes
- Advanced skills in data analytics, encompassing descriptive, predictive, prescriptive, diagnostic analytics, and problem-solving abilities to find beneficial solutions for the organization
- Experience in developing and implementing data governance policies and procedures
- Understanding of data quality standards and practices to ensure accurate and reliable data
This is a hybrid position. Hybrid employees c
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