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Lead, Product Management - Data Mastering and Matching

salary Salary :

$121,000 - 170,000 yearly

icon briefcase Job Type : Full Time

Number of Applicants

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000+

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Job Description - Lead, Product Management - Data Mastering and Matching

The Role

We're looking for a Product Lead to join our team, reporting to the Head of Product, Data Platform. In this role, you'll help shape how we build and scale a unified data platform that powers business across Nasdaq’s Capital Access Platform (CAP) division. You’ll drive innovation, enable data interoperability, and unlock speed and scale across Nasdaq.

You'll fit right in if you're technically savvy, data-driven, collaborative, possess exceptional communication skills, love working across teams and time zones, and get energy from tackling challenges that make an impact on a global scale.

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, define measurable success metrics, and prioritize features for maximum business impact.
  • Partner with engineering, data operations, and cross-functional teams to deliver high-quality platform solutions aligned with business goals while 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 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.

This position will be located in Toronto, ON and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates.

Come as You Are

Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates 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 will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

What We Offer

We’re proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq’s overall success.

The base pay range for this role is $121,000 - $170,000. In addition to base salary, Nasdaq provides a generous annual bonus/commission (short-term incentive), and equity (long-term incentive), comprehensive benefits, and opportunity for growth. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, business needs and market demands.
Original job Lead, Product Management - Data Mastering and Matching posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.
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