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

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, PySpark, 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, PySpark 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.

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, MapReduce).
• 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.

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.