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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 position requires travel 5-10% of the time.

Mental/Physical Requirements: This position will be performed in an office setting.  The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer.  Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.  Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 128,600.00 to 172,150.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Average salary estimate

$150375 / YEARLY (est.)
min
max
$128600K
$172150K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Senior Manager, Data Architect, Sales Experience, Visa

As a Senior Manager, Data Architect for Sales Experience at Visa in Austin, TX, you will play a pivotal role in shaping the company's approach to data. Visa is renowned for connecting the global economy through secure payment solutions, and in this role, you'll leverage your expertise to architect innovative data systems that enhance our sales capabilities. You will be responsible for developing a robust data strategy that supports our business objectives while ensuring data integrity, governance, and security across all platforms. By collaborating with cross-functional teams, you will design scalable data solutions that meet the diverse needs of the organization. You'll create and maintain comprehensive data models, ensuring a seamless flow of accurate information that empowers decision-makers. Your hands-on experience in data architecture will be crucial as you evaluate new technologies and drive effective data governance policies. The position demands a blend of analytical prowess and strong communication skills, allowing you to translate complex data sets into actionable insights that elevate our sales strategies. If you're looking for a place where your work has meaningful impact and aligns with a purpose-driven vision, Visa is the perfect fit for you. Join us and contribute to the evolution of payment technologies that uplift everyone, everywhere.

Frequently Asked Questions (FAQs) for Senior Manager, Data Architect, Sales Experience Role at Visa
What are the main responsibilities of a Senior Manager, Data Architect at Visa?

The Senior Manager, Data Architect at Visa is responsible for overseeing the data landscape, developing a data strategy, and collaborating with business units to ensure data-driven decision-making. This role involves designing data models, implementing data governance practices, and presenting analytical insights to support sales objectives.

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What qualifications are needed to become a Senior Manager, Data Architect at Visa?

To qualify for the Senior Manager, Data Architect position at Visa, candidates should have at least 8 years of relevant experience paired with a Bachelor's degree in fields such as Computer Science or Data Science. Advanced degrees and certifications in data management or governance are preferred, along with strong analytical and communication skills.

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What tools and technologies should a Senior Manager, Data Architect at Visa be familiar with?

The Senior Manager, Data Architect at Visa should be proficient in SQL, data visualization tools like Tableau or Power BI, and data analysis software such as Python or R. Familiarity with cloud-based platforms like AWS, Azure, and big data technologies such as Hadoop or Spark is also essential.

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How does the Senior Manager, Data Architect contribute to data governance at Visa?

The Senior Manager, Data Architect plays a critical role in establishing data governance policies, ensuring data integrity, consistency, and quality management across the organization. This includes collaborating with stakeholders to facilitate data stewardship and creating frameworks for data quality management.

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What opportunities for career advancement exist for a Senior Manager, Data Architect at Visa?

At Visa, the Senior Manager, Data Architect role provides significant opportunities for career advancement, including pathways to executive-level positions within data management, strategic business development, and leadership roles overseeing broader technology initiatives.

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Common Interview Questions for Senior Manager, Data Architect, Sales Experience
Can you explain your experience with data architecture and how it applies to sales strategy?

In answering this question, you should detail specific projects where you designed data architectures that supported sales strategies. Highlight your understanding of business objectives and how effective data management can identify new opportunities and streamline processes.

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How do you ensure data integrity and security in your data architecture designs?

Describe your approach to data governance, including the implementation of security measures and validation rules. Mention specific protocols you use to maintain data accuracy and compliance with regulations.

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What methodologies have you used for data modeling and why do you find them effective?

Explain the methodologies you prefer for data modeling, like entity-relationship diagrams or dimensional modeling. Discuss how these methodologies effectively capture business needs and support analytics.

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Can you detail a time when your data-driven insights led to a significant business decision?

Provide a clear example of how you utilized data analytics to influence a strategic decision. Focus on the data sources you analyzed, the insights you derived, and the impact those insights had on the business outcomes.

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How do you stay updated with the latest data technologies and trends?

Mention specific resources you use, such as webinars, industry conferences, publications, or networking groups. Explain how you incorporate new knowledge into your work to enhance your contributions.

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What strategies would you employ to collaborate with non-technical stakeholders on data projects?

Discuss your approach to communication and collaboration. Highlight your ability to translate complex data concepts into understandable terms for non-technical stakeholders, ensuring alignment on objectives.

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How do you handle conflicts within cross-functional teams when working on data initiatives?

Share an example that showcases your conflict resolution skills. Highlight how you foster collaboration and understand different perspectives, ultimately driving the project forward despite differing opinions.

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What is your experience with cloud-based data platforms and which do you prefer?

Talk about your experience with various cloud platforms like AWS, Google Cloud, or Azure. Describe the workloads you managed and why you preferred certain platforms based on factors like scalability or cost-effectiveness.

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In your opinion, what is the most important aspect of data governance?

Discuss the importance of ensuring data quality and compliance. Explain how you prioritize establishing clear policies to support data stewardship and ownership, ultimately guiding the organization towards better data practices.

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What approaches do you take to validate and verify data for accuracy and compliance?

Detail your processes for data validation, including automated checks and manual reviews. Highlight your attention to detail and commitment to ensuring reliable data that meets both organizational and regulatory standards.

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Visa Inc. operates as a payments technology company worldwide. The company facilitates commerce through the transfer of value and information among consumers, merchants, financial institutions, businesses, strategic partners, and government entiti...

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Full-time, on-site
DATE POSTED
February 28, 2025

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