Ai Strategy Manager Jobs

Our Purpose

We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.

Job Title

AI Strategy Manager

AI Strategy Manager

Mastercard is a world leading payments and technology company with the aspiration to help reshape the digital economy so everyone can realize their ambitions. Technology is our product, and we pride ourselves in using the latest technologies to create secure, customer centric experiences.

We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.

Overview

Job Title

Lead Analytics Consultant

Reporting to the Vice President of Analytics and Metrics and working with the Mastercard AI Services team, the lead analytics consultant is responsible for driving business impact through analytics and data science, working closely the data scientist, ML engineers, and business functional leaders across Mastercard. This role is responsible for ensuring value creation from data science projects by (a) creating actionable insights from data and models, (b) improving business processes, and (c) project planning and change management.

The Role

1/ Driving action and capturing business value using analytics and data science

• Extracting strategic and actionable insights from both raw data and ML models to inform business decisions
• Identifying opportunities for impactful analytics within the business
• Guiding analysis and model development with the data science team by bringing business and domain expertise to the AI Services group.
• Building compelling visualizations and communications to help senior business stakeholders understand the AI Services team’s work, including model mechanics, effectiveness, and business impact

2/ Designing and implementing new analytics-enabled business processes

• Partnering with business and analytics leaders to create wireframes, requirements, and sample outputs to define modeling deliverables
• Estimating the impact of new business processes by analyzing and modeling financial and operational data
• Developing detailed understanding of existing practices through process and journey mapping, identifying pain points and improvement opportunities

3/ Enabling adoption and scale of ML models through change management

• Creating and coordinating project plans to deploy prototype ML models
• Conducting training, collecting user feedback, and iterating with data scientists to on prototype ML
• Creating and coordinating plans to production models to wider adoption, proactively identifying and addressing barriers to scale

All About You

• Experience using data to answer complex business questions and develop

practical solutions.

• Familiarity with large data sets, statistical analyses, machine learning models, and data visualization
• Proven ability to quickly learn new businesses and diagnose their problems
• Hands-on experience with an analytical scripting language such as Python or R preferred
• Understanding of world leading agile and technology business management practices
• Hands-on experience with SQL and business intelligence tools
• Bachelor’s degree or higher in computer science, engineering, or physical sciences, or equivalent work or education-related experience. Master’s or other advanced degree strongly preferred
• Strong communication and presentation skills, with experience presenting quantitative analysis to senior business stakeholders
• Proven track record of influencing cross-functional teams to deliver measurable business impact
• Experience leading quantitative problem-solving with business and analytics stakeholders
• Experience in the payments domain preferred
• Demonstrated ability to balance the delivery of projects against the realities of a budget; and problem solving, project management and creative resourcefulness

In the US, Mastercard is an inclusive Equal Employment Opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. If you require accommodations or assistance to complete the online application process, please contact [email protected] and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

Corporate Security Responsibility

Responsibilities

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must

• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
• Abide by Mastercard’s security policies and practices;
• Ensure the confidentiality and integrity of the information being accessed;
• Report any suspected information security violation or breach, and