Full-Time

Director Discovery Source Integration and Management

Confirmed live in the last 24 hours

Visa

Visa

10,001+ employees

Global digital payment network provider

Fintech
Financial Services

Senior, Expert

Austin, TX, USA

Hybrid position requiring 2-3 days in the office per week.

Category
IT Consulting
Management Consulting
Consulting
Required Skills
Power BI
Agile
SQL
Tableau
JIRA
Data Analysis
Excel/Numbers/Sheets
Requirements
  • 10 or more years of work experience with a Bachelor’s Degree or at least 8 years of work experience with an Advanced Degree (e.g. Masters/ MBA/JD/MD) or at least 3 years of work experience with a PhD
  • Prior experience in a data product owner, data governance, or data management leadership role, preferably in the financial services industry.
  • Expertise in performing data analyses, investigations, trend forecasts, and deep dives on large volumes of diverse datasets using tools like SQL and Excel.
  • Experience in building data automation pipelines via VBA/SQL for business reporting and dashboards.
  • Proficiency with SAS/SQL/Hive for extracting, analyzing, and aggregating data.
  • Expertise in working with internal and third-party data feeds with different levels of coverage, quality, and aggregations.
  • Experience in building data access layers at scale and feeding them into enterprise platforms, analytics, and other tech solutions.
  • Strong analytical and problem-solving abilities, with the ability to use hard data and metrics to back up assumptions and evaluate outcomes.
  • Familiarity with systems architecture and tracking data flow through complex and high-scale systems.
  • Experience in managing data and analytics vendor relationships, including managing contracts, assessing performance, and building vendor roadmaps.
  • Excellent analytical and problem-solving capability combined with ambition to solve real-world problems.
  • Strong interpersonal, facilitation, and effective communication skills (both written and verbal).
  • Great work ethics and a team player striving to bring the best results as a team.
  • Ability to work with internal product development and engineering teams to deliver products on schedule with high quality. Comfortable in a heavily matrixed organization.
  • Ability to juggle multiple priorities and make things happen in a fast-paced, dynamic environment.
  • Ability to understand both business and technical concepts.
  • 12 or more years of work experience with a Bachelor’s Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD
  • PhD in Computer Science, Operations Research, Statistics, or highly quantitative field (or equivalent experience)
  • Prior experience as a data product owner, data governance, or data management SME in a payments network, fintech, banking, and financial services firm.
  • Experience with data visualization and business intelligence tools like Tableau and Microsoft Technologies (SQL Server, Power BI, Analysis services).
  • Advanced Excel skills, including the ability to produce graphs and tables, use spreadsheets efficiently, and perform calculations and automation to process large volumes of data.
  • Familiarity with the application of datasets in advanced analytics and machine learning solutions.
  • Experience with data management and governance tools like Informatica, Semarchy, Alation, Collibra, etc.
  • Experience in architecting solutions with Continuous Integration and Continuous Delivery in mind.
  • Ability to do high-level system design and workflows to represent the implementation of the requirements.
  • Ability to fully understand technical architecture, APIs, and overall system design.
  • Experience in working with agile lifecycle and/or tracking and process management tools, e.g., JIRA.
  • Self-starter who can communicate with a deep understanding of the company needs and enable people to move forward through complexity.
  • Demonstrated cross-functional competence, having led/coordinated teams across functional areas in large, matrixed organizations.
Responsibilities
  • Leverage internal Visa data (inside-out approach) and external/open-source data (outside-in approach) to manage investigations.
  • Set up monthly data ingestion pipelines in a cloud environment.
  • Manage data quality metrics and operational KPIs.
  • Own data standardization, integration, governance, and lineage for downstream consumption and analytics.
  • Transform vendor data feed and ingest into the platform’s data access layer for end-user utilization.
  • Manage ongoing performance, handle contract negotiations, and plan future pipelines for existing vendors.
  • Handle new vendor POCs, success criteria, contracts, and NDAs.
  • Research new open-source and paid discovery sources.
  • Conduct coverage analysis, gap identification, and annual planning.
  • Perform data deep-dives, analytics, and automation to track trends, coverage, and impact from various discovery sources periodically.
  • Experiment with in-house and third-party data sets to test hypotheses on the relevance and value of data to business problems.
  • Translate data investigations and analyses into actionable business intelligence for business decision-making.
  • Devise data quality metrics and operational KPIs to ensure data accuracy and build strategies to ensure the discovery sources are fit-for-purpose and effectively utilized.
  • Maintain oversight on Visa ERP discovery source/tool effectiveness through Management Information Systems (MIS) and dashboards.
  • Keep track of industry trends and research new potential discovery sources (both paid and open source).
  • Build strategic roadmap, conduct coverage analysis, and perform gap identification for existing and new discovery sources.
  • Identify, evaluate, and integrate third-party data sources to enhance the platform's capabilities.
  • Ensure the seamless integration of third-party data into existing systems and workflows.
  • Manage and monitor discovery sources to ensure timely and accurate alert generation.
  • Develop and implement strategies for the effective use of discovery source alerts in risk management and fraud prevention initiatives.

Visa operates a global digital payment network that facilitates electronic payments for millions of people daily. The company connects consumers, businesses, financial institutions, and governments, allowing them to make transactions using Visa cards. Each time a Visa card is used, the company earns money through transaction, service, and data processing fees. Visa stands out from its competitors by focusing on expanding access to financial services for underserved communities and supporting local economies. Additionally, Visa is committed to promoting sustainability in commerce, aiming to create a more inclusive and environmentally friendly financial ecosystem.

Company Stage

N/A

Total Funding

$55.8M

Headquarters

San Francisco, California

Founded

1958

Simplify Jobs

Simplify's Take

What believers are saying

  • Visa's partnership with fintechs enhances cross-border payment solutions.
  • Adoption of blockchain technology could revolutionize digital payments.
  • AI-driven fraud detection systems are reducing fraudulent activities.

What critics are saying

  • CBDCs could reduce reliance on Visa's payment network.
  • 'Buy Now, Pay Later' services may decrease traditional credit card transactions.
  • Fintech startups offering zero-fee transactions could pressure Visa's revenue model.

What makes Visa unique

  • Visa operates a global digital payment network connecting millions daily.
  • The company focuses on financial inclusivity and sustainability in its operations.
  • Visa collaborates with central banks on Central Bank Digital Currencies (CBDCs).

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Benefits

Health Insurance.

Life Insurance.

Dental Insurance.

Disability Insurance.

Accidental Death & Dismemberment Insurance.