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Lead Product Manager, Alternative Data

Job in Toronto, Ontario, M5A, Canada
Listing for: Nasdaq
Full Time position
Listed on 2026-01-13
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Data Science Manager
  • Business
    Data Analyst, Data Scientist
Job Description & How to Apply Below

Overview

Nasdaq's Alternative Data group specializes in creating unique and insightful data products from non-traditional data sources.

Well-known examples of Alternative Data include sentiment measures, real-time tracking of vehicles via GPS transponders, satellite monitoring of industrial facilities, and consumer insights gleaned from anonymized credit card transactions. With the rapid growth in the ability to process large datasets and advancement in AI and ML, hedge funds and active asset managers are eager to use alternative data to source alpha for their investment processes.

As a leading provider of Alternative Data, we deliver innovative products that empower many of the world’s most sophisticated and successful investment funds to outperform.

The Opportunity

The Alternative Data group isseeking a Lead Product Managertodefine strategy and drive execution for a portfolio of Alternative Data products.

This is a highly entrepreneurial role where you will own the product lifecycle end-to-end, workinghands-on with cross-functional teams to prototype,validate,and delivernew revenue generating data products.

The ideal candidatewill haveasolid foundation incapital markets,demonstratedexpertiseincreatingdataproducts, firmunderstanding ofdatamonetization and go-to-market strategies, and thrive in moving seamlessly between strategic planning and tactical execution.

What You’llDo

  • Own the product lifecycle from ideation and validation to launch and scale.

  • Conduct market research and client engagement toidentifynew opportunities.

  • Develop and prioritize product roadmaps aligned with businessobjectives.

  • Collaborate with cross-functional teams to design and deliver innovative data products.

  • Drive go-to-market strategy, including pricing, positioning, and sales enablement.

  • What You’ll Bring

  • 10+ years of product management and/or development experiencecreating data products.

  • Deep understanding ofcapital markets,data product fundamentals (ingestion, normalization, enrichment, modeling,etc),and go-to-marketstrategies.

  • Proven ability to thrive in an entrepreneurial environment, working independently toconceptualize new products ideas and drive them tocompletion.

  • Revenue-centric,growth-centric, ownermindset.

  • Excellent communication and stakeholder management skills.

  • Nice to Have

  • Hands-on experience in programming (python, spark,etc),data modeling (statistics, machine learning,etc),cloud/infra (databricks,AWS,etc), and/or Alternative Data isstrongplus.

  • 0-to-1 startup experience is also a strong plus.

  • 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 $106,000 - $148,000. 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.
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