Senior Manager, Data Architect, Sales Experience

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

We are seeking an experienced and versatile data professional to oversee our rapidly evolving data landscape. This role combines Data Architecture, Data Governance, and Data Analytics. The ideal candidate will have a strong background in data architecture, governance, and analysis, with the ability to design and implement effective data solutions that drive business success.

This role requires a strategic thinker with excellent problem-solving skills and a keen attention to detail.

Key Responsibilities

Data Architecture & Strategy

• Develop a comprehensive understanding of data sources, types and systems across the business, use cases used and formulate recommendations to benefit the VAS Sales & Commercialization objectives.
• Create a compelling and scalable strategy and architecture to deliver against business objectives, collaborating with other data, IT, and business functions to ensure a complete vision.
• Develop and maintain data models, and data dictionaries, ensuring optimal performance and scalability.
• Ensure the development of our proprietary Solution Mapping, and interconnection of disparate data sets.
• Ensure data integrity, security, and availability across all data systems and platforms.
• Collaborate with IT and business stakeholders to define data requirements and ensure alignment with business needs.
• Evaluate and recommend new technologies and tools to enhance use cases of data.

Data Governance Specialist

• Establish and enforce data governance policies, standards, and procedures.
• Develop and implement data quality management frameworks to ensure data accuracy and consistency.
• Collaborate with the wider team, product owners and others to ensure validity of Solution Mapping data.
• Facilitate data stewardship and data ownership initiatives across the organization.
• Provide training and support to stakeholders on data governance practices and principles.

Data Analytics, Engineering and Product Management

• Collect, analyze, and interpret complex data sets to provide actionable insights and recommendations.
• Collaborate with business units to understand their data needs and deliver tailored analytical solutions.
• Ensure data accuracy and reliability through regular data validation and quality checks.

Develop logic to enable the use of data to fulfil business objectives in collaboration

Qualifications

Basic Qualifications

• 8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD

Preferred Qualifications

• 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD
• Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field. A master’s degree is preferred.
• Minimum of 5 years of experience in data architecture, data governance, and data analysis roles.
• Strong knowledge of data management principles, data modelling, and database design.
• Proficient in SQL, data visualization tools (e.g., Tableau, Power BI), and data analysis software (e.g., Python, R).
• Experience with data governance frameworks and data quality management.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work effectively in a collaborative team environment and manage multiple projects imultaneously.
•  Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud).
•  Knowledge of big data technologies (e.g., Hadoop, Spark).
• Familiarity with data privacy regulations (e.g., GDPR, CCPA).
• Certification in data management or data governance (e.g., CDMP, DGSP) is a plus.

Additional Information

Work Hours: Varies upon the needs of the department.

Travel Requirements: This