LEAP

Product Manager, Data and Analytics

LEAP

full-time

Posted on:

Location Type: Remote

Location: TexasUnited States

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Salary

💰 $80,000 - $120,000 per year

Tech Stack

About the role

  • Driving the company’s data initiative forward to deliver value
  • Ensure all relevant data is properly getting ingested into our data platform
  • Ensure our data platform is compliant with data privacy and security regulations
  • Shape the data infrastructure to meet the quality, discoverability, and format requirements necessary for machine learning and AI models.
  • Drive innovation in the live event space and how we leverage data to provide insights to event organizers, helping them achieve their outcomes, as well as Leap’s business objectives
  • Maintaining the Data and Analytics product roadmap, prioritizing based on ROI
  • Ensuring a discovery and research period is leveraged to ensure we’re delivering the right solutions based on market and client needs
  • Understand the data needs of different audiences and where that falls in priority - internal stakeholders, leadership, and various tiers of clients
  • Partnering with other product managers to collectively achieve outcomes where dependencies and competing priorities need to be coordinated across teams
  • Collaborating with other stakeholders to align on priorities and identify market opportunities
  • Manage the day-to-day product management duties for our Data Platform and Analyst teams
  • Manage two workstreams - one for our data engineering team and another for our analyst team that manages our data visualizations / dashboards
  • Gather and incorporate feedback into product feature requirements
  • Work with both onshore and offshore development resources (Tech Lead is located in the US)
  • Manage data and custom development requests, both internal and for external clients
  • Ensure solutions are designed to work across the Leap product suite, as appropriate
  • Acting as a subject matter expert and internal evangelist in the data and analytics space here at Leap
  • Stay up-to-date on topics related to data and analytics
  • Encourage others at the organization to leverage best practices around data usage and analytics requests
  • Maintain high standards around data integrity and what we’re leveraging in our data platform

Requirements

  • 5+ years experience in product management
  • 5+ years managing data or analytics products
  • 3+ years working cross-product / cross-platform
  • Experience working with large, disparate data sources
  • Experience working with data visualization tools
  • General knowledge of data governance best practices
  • Strong presentation skills for a variety of audiences, including senior leadership
  • Proven record delivering solutions with measurable impact
  • Experience leading product development teams using Scrum methodologies, including running ceremonies (sprint planning, standups, retrospectives), managing backlogs, and facilitating workshops and requirements gathering sessions
  • Ability to work with cross-functional stakeholders (engineering, design, business teams), gather requirements from non-technical users, manage expectations, and communicate trade-offs
  • Ability to translate business objectives into technical requirements and product roadmaps while balancing competing priorities
  • Knowledge and understanding of data platform architecture (data warehouses, lakes, ETL/ELT pipelines, reverse ETL), data modeling, and analytics software
Benefits
  • Medical, Dental, Vision, and Voluntary benefits
  • Generous PTO
  • Paid parental leave (following 12 months of continuous employment)
  • 401K Match
  • $200 event reimbursement
  • 360 Learning, a world-class learning and development platform

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data platform architecturedata modelingETLELTdata visualization toolsdata governance best practicesScrum methodologiesproduct managementanalytics softwaredata ingestion
Soft skills
presentation skillscollaborationstakeholder managementcommunicationprioritizationfeedback incorporationinnovationcross-functional teamworkproblem-solvingleadership