Description
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.
Title and Summary
Manager, Data Science Delivery Lead Overview:Mastercard is the global technology company behind the world's fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee can be a part of something bigger and change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities.
Join a fast-growing team
We are seeking a highly skilled Data Science Delivery Lead to join our HR team. As a Data Science Delivery Lead, you will be responsible for driving the development and implementation of data-driven products and solutions that enhance our HR processes and decision-making at scale.
Role:
• Collaborate with cross-functional teams, including HR, data scientists, engineers, and designers, to define product vision, strategy, and roadmap for data-driven HR solutions.
• Work closely with data scientists to develop and refine algorithms, models, and analytics solutions that improve HR processes and decision-making.
• Lead the product development lifecycle, including ideation, prototyping, testing, launch and metering.
• Execute prioritized projects on time within budget and with appropriate data governance approvals.
• Build realistic project timelines and keep stakeholders informed.
• Prioritize product requirements based on user feedback, business goals, and technical feasibility.
• Liaise between business and data science team as requirements translator.
• Define and track key performance indicators (KPIs) to measure the success and impact of data-driven HR products.
• Thought leadership - stay up to date with industry trends and advancements in data science and HR technology.
All About You:
• Proven experience as a Data Scientist, Product Manager or similar role, with a focus on delivering data-driven products and solutions at scale in organizations.
• Strong understanding of data science concepts, algorithms, and statistical modeling techniques.
• Proficiency in programming languages such as Python, R, or SQL.
• Experience working with data visualization tools and platforms.
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.
• Ability to prioritize and manage multiple projects simultaneously.
• Bachelor's degree in Computer Science, Data Science, or a related field. Advanced degree is preferred.
• Knowledge of HR processes and practices is a plus.
Join our team and contribute to the development of innovative data-driven HR solutions that drive business success and enhance employee experiences. Apply now!
Corporate Security Responsibility
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:
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
Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
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