Product Manager - Data

Description

Position Description

This role will lead the creation and management of data-based products and services within our Accounts Payable (AP) SaaS platform. This role will leverage data to create innovative solutions that enhance customer experience, drive operational efficiencies, and create new revenue streams. The ideal candidate will have a strong background in data analytics, product management, and a deep understanding of B2B financial operations, particularly within accounts payable.

Key Responsibilities

Product Strategy & Key Initiatives:

• Define and develop the strategy for data-driven products and services, focusing on delivering actionable insights, automating processes, and enhancing decision-making for customers.
• Build and maintain a product plan for data products, ensuring alignment with the overall business goals, customer needs, and market opportunities.
• Continuously identify new opportunities to utilize data to improve the existing AP SaaS solution and introduce new services.
  
  

Data Product Development:

• Collaborate with data engineering and data science teams to design, develop, and launch data-driven features and services such as analytics dashboards, predictive insights, benchmarking, and reporting tools.
• Lead the ideation, validation, and execution of new data products, ensuring scalability, usability, and reliability.
• Work with cross-functional teams (engineering, product, sales, marketing, customer success) to deliver high-quality data products that meet customer needs.
  
  

Customer-Centric Innovation:

• Understand customer pain points and use data to develop solutions that optimize their accounts payable processes, such as fraud detection, payment optimization, cash flow management, and supplier risk assessments.
• Gather and analyze feedback from users, stakeholders, and the market to continuously improve the product and identify new areas for innovation.
  
  

Data Governance & Quality:

• Define and implement best practices for data governance, ensuring the integrity, security, and compliance of all data products, particularly with financial and regulatory standards (e.g., SOX, GDPR).
• Ensure the accuracy and reliability of the data used for product development and analytics by working closely with data engineers, data analysts, and quality assurance teams.
  
  

Performance Metrics & Analysis:

• Define key performance indicators (KPIs) for data products, tracking and analyzing product performance, usage, and customer satisfaction.
• Use data to drive decision-making, identifying areas for improvement and opportunities for new product development.
• Present product performance reports to stakeholders, providing actionable insights and recommendations.
  
  

Stakeholder Management:

• Work closely with internal teams and external partners to gather data requirements, align on priorities, and ensure successful delivery of data products.
• Act as the bridge between technical teams (data scientists, engineers, data analysts) and business teams (marketing, sales, customer success), translating complex data concepts into business value.
• Communicate the vision, roadmap, and progress of data products clearly to leadership and other key stakeholders.
  
  

Minimum Qualifications

• Bachelor's Degree
• Relevant Experience or Degree in: Business or Computer Science; Combination of relevant training and/ or experience in lieu of degree
• Typically Minimum 6 Years Relevant Exp
• Experience in similar business product services and/or external customer/market experience
  
  

Preferred Qualifications

Experience:

• 6 years of product management experience, with a focus on data products, analytics platforms, or data-driven solutions.
• Strong background in accounts payable, B2B payments, or financial software, with a deep understanding of AP processes and challenges.
• Proven experience in using data to develop customer-centric solutions that drive business outcomes.
• Bachelor’s degree in Computer Science, Data Science, Business, or a related field. Advanced degree (e.g., MBA, MS in Data Science) is a plus.
  
  

Skills:

• Strong proficiency with data analysis tools (e.g., Sigma, Tableau, etc.) and a solid understanding of data science concepts (e.g., machine learning, predictive analytics).
• Experience working with APIs, data integration, and cloud-based data platforms (Snowflake, SQL, Striim, etc).
• Excellent communication and collaboration skills, with the ability to work across both technical and non-technical teams.
• Analytical mindset, with the ability to derive actionable insights from data and make data-driven product decisions.
  
  

Global Payments Inc. is an equal opportunity employer.

Global Payments provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including pregnancy), national origin, ancestry, age, marital status, sexual orientation, gender identity or expression, disability, veteran status, genetic information or any other basis protected by law. Those applicants requiring reasonable accommodation to the application and/or interview process should notify a representative of the Human Resources Department.

Benefits: Global Payments offers a comprehensive benefits package to all of our team members, including medical, dental and vision care, EAP programs, paid time off, recognition programs, retirement and investment options, charitable gift matching programs, and worldwide days of service. To learn more, review our Benefits page at: https://jobs.globalpayments.com/en/why-global-payments/benefits/

Pay Range is $81,100.00 - $105,000.00

The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.

Apply By: Friday, January 24, 2025

"Candidates and applicants are advised they may redact age information from requested items like transcripts, resumes, and certificates attached to their application for positions that can be performed in Colorado."

“The position listed in this requisition is ineligible for the referral bonus award program”

This position is eligible to be considered for remote hiring anywhere in the USA