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Manager, VCA, Intelligence & Data Solutions (IDS), Data Science

Visa

Manager, VCA, Intelligence & Data Solutions (IDS), Data Science

Visa

Bogota, Colombia

·

On-site

·

Full-time

·

2w ago

Required Skills

Advanced Analytics

Statistical Modeling

Machine Learning

Python

SQL

Distributed Computing

Data Visualization

Gen AI

Project Management

Stakeholder Management

Company Description

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters — to you, to your community, and to the world.

Progress starts with you.

Team Description

Visa Consulting and Analytics (VCA) is the consulting arm of Visa, and drives tangible, impactful results for clients. Drawing on our expertise in consulting, data analytics, technology, payments and economics, VCA solves the most strategic problems for our clients. VCA's core client segments include issuers, acquirers, merchants, fintechs, payment enablers and governments. The Intelligence & Data Solutions (IDS) team at VCA consists of data scientists, analysts, and engineers who provide analytics solutions. Their goal is to leverage Visa Net, one of the largest datasets globally, to help clients enhance their performance and increase profitability.

Job Description

The Visa Consulting and Analytics team is looking for a high-performance individual to join the team and play a key role in developing and delivering high impact projects across the Andean region. The potential candidate will support engagements with Visa Clients, by developing, delivering and implementing projects and solutions on behalf of issuers, acquirers and merchants. The ideal candidate will support initiatives to promote sustainable and profitable growth, thereby ensuring that Visa is both, the preferred brand and unique business partner. This role will also have a strategic mandate to lead the implementation, usage, and organizational adoption of Gen AI–based agents and solutions. The candidate will work closely with VCA and cross‑functional teams to identify use cases, integrate AI‑powered tools into consulting processes, elevate productivity, and enable a culture of innovation fueled by artificial intelligence.

The ideal candidate is a problem solver equipped with strong analytical, quantitative, and technical skills able to translate insights into large‑scale, state‑of‑the‑art solutions and passionate about leveraging emerging technologies—especially Gen AI—to drive impact for Visa and its clients.

Responsibilities:

Strategic Consulting & Client Impact:

  • Develop, structure, and execute high‑impact consulting engagements for issuers, acquirers, and merchants.
  • Translate analytical insights into actionable recommendations aligned with clients’ strategic priorities.
  • Identify relevant market trends and payment industry dynamics to enrich client engagements and VCA solutions.
  • Communicate complex analytical concepts clearly and effectively to both technical and non‑technical stakeholders.

Gen AI Strategy, Implementation & Adoption:

  • Lead the strategic definition, deployment, and scaling of Gen AI agents and solutions within VCA and across broader business teams.
  • Identify and prioritize high‑value Gen AI and automation use cases across consulting workflows, client deliverables, and operational processes.
  • Collaborate with Product, Technology, Data Science, Sales, Operations, and Global AI teams to design, build, and integrate Gen AI tools.
  • Serve as the internal champion for AI adoption: train teams, run demos, build capability decks, and influence organizational readiness.
  • Oversee the lifecycle of AI agents (ideation → pilot → deployment → monitoring → enhancement).
  • Ensure all AI initiatives adhere to best practices in model governance, security, responsible AI and data protection.
  • Build reusable Gen AI assets, prompts, frameworks, and accelerators for VCA and Visa’s clients.

Advanced Analytics, Data Engineering & Machine Learning:

  • Work with large volumes of data, extracting and manipulating datasets using Hadoop Ecosystem, Python, Py Spark, Presto, SQL, and related tools.
  • Apply hands‑on skills in cleansing, wrangling, analyzing, and visualizing large datasets.
  • Parse, aggregate, and transform messy, incomplete, or unstructured data into high‑quality analytical datasets.
  • Develop, validate, and optimize data mining algorithms, advanced statistical techniques, and machine learning models.
  • Enhance and optimize code and pipelines to scale critical analytical processes.
  • Implement ML solutions using tools such as scikit‑learn, Py Spark ML, R, or similar.
  • Support the design and deployment of data pipelines and distributed computing jobs across large datasets.
  • Develop and deploy analytical models and data‑driven solutions for Visa clients (issuers, acquirers, merchants).
  • Build dashboards and data products using Tableau (preferred) and Power BI.
  • Leverage Visa’s proprietary data assets, platforms, and analytical capabilities to design standardized and scalable solutions.
  • Automate repeatable analyses and build streamlined tools for consultants and clients.
  • Document projects, methodologies, and best practices, ensuring knowledge transfer across the team.
  • Continuously propose innovative ideas to improve business practices and analytical rigor.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications

Education & Experience:

  • BA/BS required Master’s degree preferred (Statistics, Mathematics, Computer Science, Engineering, or related fields).
  • 6+ years of experience, ideally including at least 2 years in Banking, Payments, Financial Services, or Technology.
  • Experience designing and implementing analytics and ML solutions in business environments.

Technical Skills:

  • Ability to design practical algorithms and write high quality, scalable code for gigabyte to terabyte scale datasets.
  • Proven hands on experience in advanced analytics and statistical modeling (linear/logistic regression, clustering, classification, decision trees/random forest, etc.).
  • Strong experience with distributed computing (Hadoop, Spark, Hive, Pig, Map Reduce).
  • Proficiency in data visualization tools (Tableau, Power BI).
  • Experience building analytical workflows, data pipelines, and automation solutions.

Gen AI & AI Innovation Skills:

  • Experience implementing Gen AI models, AI agents, LLM based tools, or automation workflows.
  • Understanding of prompting strategies, model capabilities/limitations, embeddings, and responsible AI practices.
  • Ability to lead cross functional AI initiatives, define AI roadmaps, and drive organizational change.

Soft Skills & Leadership:

  • Strong teamwork, relationship management, and stakeholder engagement skills.
  • Ability to manage multiple projects simultaneously while meeting deadlines.
  • Excellent verbal, written, and presentation skills (including fluency in English).
  • Detail oriented, structured thinker with a passion for innovation and continuous improvement.
  • Strong project management and organizational skills.

Additional Information

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.

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About Visa

Visa

A multinational financial services company that facilitates electronic payment systems throughout the world.

10,001+

Employees

Foster City

Headquarters

$500B

Valuation

Reviews

2.0

3 reviews

Work Life Balance

1.5

Compensation

2.0

Culture

1.2

Career

1.8

Management

1.3

10%

Recommend to a Friend

Pros

Active recruiting for senior positions

Work authorization support for spouses

Opportunity to seek external roles

Cons

Toxic work environment

Below-market compensation offers

Poor management and leadership

Salary Ranges

23 data points

Junior/L3

Mid/L4

Junior/L3 · Analyst

1 reports

$106,195

total / year

Base

$92,300

Stock

-

Bonus

-

$106,195

$106,195

Interview Experience

4 interviews

Difficulty

3.3

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 75%

Negative 25%

Interview Process

1

Application Review

2

Online Assessment

3

Phone Screen

4

Technical Interview Rounds

5

Final Round Interview

6

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design