Data Team Lead (REMOTE)

Lithuania·Vilniuslead

OtherTeam Lead

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Quick Summary

Overview

IMPACT BRANDS is a leading contributor to the health and wellness industry. With a journey from 5 to over 350 colleagues, and the expansion to a diverse family of 7+ brands (PureHealth Research,

Technical Tools

OtherTeam Lead

IMPACT BRANDS is a leading contributor to the health and wellness industry. With a journey from 5 to over 350 colleagues, and the expansion to a diverse family of 7+ brands (PureHealth Research, Nation Health MD, Pureance, Trumeta, PetMade, VitalPeak, Nature's Blast). We are dedicated to helping improve the lives of people all over the world.

At IMPACT BRANDS, we embrace remote work culture and cherish open-mindedness, high energy, and adaptability qualities that are essential in our dynamic environment. We prioritize the growth of every team member, regardless of their location, offering advancement from intern to leadership roles.

IMPACT BRANDS has already positively impacted the lives of 3 million people worldwide. Join us as a remote Data Team Lead and let’s impact billions together!

What We Offer

~1 min read

✓Own our data architecture end to end and set its technical direction, from raw data and pipelines to analytical models and reporting.

✓Define how data is modeled across the company: schemas, semantic layers, metric definitions, entities and relationships.

✓Own the platform roadmap, including building out our data lake and leading the migration from Dataform to dbt.

✓Lead and grow the Data team, setting priorities, establishing how the team works, and developing each team member.

✓Set and enforce standards for data quality, governance, documentation and reliability.

✓Own access to data, including customer and other sensitive data, and keep warehouse costs under control.

✓Act as the main point of contact for data across the company, translating what Marketing, Finance, Operations and leadership need into a clear data direction.

✓Present data and recommendations to the executive team, turning complex analysis into a clear story that leads to a decision.

✓And other assigned tasks.

Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Business Analytics, Economics, or a related field.
Excellent SQL skills and strong hands-on knowledge of modern analytical data stacks.
Strong background in data modeling and schema design, including dimensional modeling, semantic layers, metrics, entities, and relationships.
Proficiency with cloud data warehouses and data services, ideally BigQuery and Google Cloud, along with dbt/Dataform and Git-based workflows.
Proven ability to design modern data architecture, including building a data lake or lakehouse from the ground up and defining the technical direction for data pipelines and infrastructure.
Ownership of a data function, architecture, or a significant part of one, including establishing standards for data quality, governance, documentation, and reliability.
Demonstrated leadership of data specialists, including setting priorities and technical standards, mentoring team members, and supporting their development.
Proven ability to work with large-scale datasets, ideally in e-commerce or another high-volume digital business.
Strong understanding of e-commerce and subscription metrics, such as CAC, LTV, churn, and contribution margin, with the ability to translate data into business decisions.
Strong stakeholder management skills, with the confidence to work directly with Marketing, Finance, Operations, and senior leadership, and to present and defend data-driven conclusions at C-level.
Excellent written and spoken English.