Lead Product Manager Data Platform

About the Role

Nasdaq is seeking a Lead Product Manager for its Data Platform team, reporting to the Head of Product, Data Platform. This role will be instrumental in shaping and scaling a unified data platform that supports Nasdaq’s Capital Access Platform (CAP) division. You will drive innovation, enhance data interoperability, and boost speed and scale across Nasdaq.

We are looking for candidates who are technically proficient, data-driven, collaborative, excellent communicators, enjoy cross-team and cross-timezone work, and are energized by impactful, global challenges.

What You’ll Do

• Own and evolve the product roadmap for core data platform capabilities, focusing on data matching, mapping, and mastering.
• Shape and evangelize a platform vision that unlocks scale, velocity, and innovation while enhancing discoverability of complex financial datasets across the CAP division.
• Lead development efforts to build and deploy infrastructure, tools, and processes that support scalable, reliable data solutions.
• Champion user needs by conducting user research, translating complex technical concepts into clear requirements, defining measurable success metrics, and prioritizing features for maximum business impact.
• Partner with engineering, data operations, and cross-functional teams to deliver high-quality platform solutions aligned with business goals, fostering collaboration and buy-in.

What You’ll Bring

• Bachelor’s degree in computer science, engineering, or equivalent experience.
• 7+ years in product management or equivalent experience, with a focus on platform, data, or technology infrastructure products.
• Hands-on experience with financial data and modern data platforms.
• Strong understanding of modern data engineering fundamentals, including pipelines, ETL/ELT, data operations, and data lifecycle management.
• Proven ability to lead cross-functional teams, communicate complex concepts clearly, and drive results in collaborative environments.
• Exceptional communication skills with the ability to translate technical concepts for diverse audiences and align cross-functional teams.

Nice to Have

• MBA
• Experience with Master Data Management, Data Governance, and Data Quality.
• Familiarity with cloud-native data platforms and modern data stack technologies (e.g., Spark, Databricks).
• Familiarity with SQL and Python.
• Experience in capital markets, fintech, or regulated industries.

Location and Work Environment

This position is based in Atlanta, GA or Toronto, ON, offering a hybrid work environment with at least 3 days per week in the office, subject to change. This provides flexibility and accessibility for qualified candidates.

Come as You Are

Nasdaq is an equal opportunity employer. We encourage applications from all qualified individuals regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law. We provide reasonable accommodation for individuals with disabilities to ensure equal participation in the application and interview process, and to perform essential job functions. Please contact us to request accommodation.

What We Offer

We offer a competitive and meaningful rewards package designed to meet the unique needs of our employees and their families, incentivizing contributions to Nasdaq’s success. The base pay range for this role is $121,000 - $170,000 annually. In addition to base salary, Nasdaq provides a generous annual bonus/commission (short-term incentive), equity (long-term incentive), comprehensive benefits, and growth opportunities. Actual compensation is determined by various job-related factors, including skill set, experience, education, business needs, and market demands.

Key skills/competency

• Product Management
• Data Platform
• Roadmap Development
• Data Engineering
• Financial Data
• Cloud Platforms
• Stakeholder Management
• Agile Methodologies
• Data Governance
• Technical Communication