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Data Product Lead

Job in Phoenix, Maricopa County, Arizona, 85001, USA
Listing for: remote work
Full Time position
Listed on 2026-10-30
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Business Intelligence, Data Warehousing
Salary/Wage Range or Industry Benchmark: 140000 - 200000 USD Yearly USD 140000.00 200000.00 YEAR
Job Description & How to Apply Below
About the role

LI.FI is building data products to support company wide decision making. This role owns the direction and output of the Data team, combining hands on analytics with product thinking and team leadership. You will report to the CTO and line manage the Data team, partnering with the Data Tech Lead on the technical roadmap.

What you'll do
  • Own the Data team's priorities, intake, triage, and planning ceremonies
  • Perform hands on analytics work including deep dives, dashboards, business cases, and recommendations
  • Partner with Product Managers to embed tracking and success metrics into PRDs and align roadmaps
  • Translate stakeholder questions into clear specs, metric definitions, and acceptance criteria
  • Quality gate for analyses, dashboards, and datasets before distribution
  • Coach and develop the Data team and collaborate with the Data Tech Lead on the roadmap
What they're looking for
  • 6+ years in data analytics, analytics engineering, or data product work with leadership experience
  • Expert SQL ability to pull, validate, and challenge data independently
  • Hands on dashboard and report building in BI tools (Omni, Superset, or similar)
  • Strong business and product mindset with experience driving revenue, pricing, or growth opportunities
  • Technical depth to collaborate with data engineers on warehouse design, pipelines, and data models
  • Proven stakeholder management and cross functional communication skills
For applicants in Nigeria
  • Location:

    Fully Remote with a stated remote within the EMEA region scope; listing specifies remote within EMEA only, confirm timezone expectations before interviewing
  • Pay/eligibility:
    The listing does not state pay currency or range; confirm during interview
  • Contract type:
    Not specified in listing
  • Timezone expectations:
    The role is remote within the EMEA region; confirm exact timezone alignment in interview
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