Data Products Team Lead

Position Overview

Fetch is seeking a Data Products Team Lead to spearhead our data solutions initiatives. This role is a hybrid of hands-on technical management and client-facing responsibilities. You will guide a team of data professionals, ensuring the delivery of scalable, efficient, and secure data solutions that meet client needs.

About Fetch

Every month, millions of people use America’s Rewards App, earning rewards for buying brands they love – and a whole lot more. Whether shopping in the grocery aisle, grabbing a bite at the drive-through or playing a favorite mobile game, Fetch empowers consumers to live rewarded throughout their day. To date, we’ve delivered more than $1 billion in rewards and earned more than 5 million five-star reviews from happy users.

It’s not just our users who believe in Fetch: with investments from SoftBank, Univision, and Hamilton Lane, and partnerships ranging from challenger brands to Fortune 500 companies, Fetch is reshaping how brands and consumers connect in the marketplace. When you work at Fetch, you play a vital role in a platform that drives brand loyalty and creates lifelong consumers with the power of Fetch points. User and partner success are at the heart of everything we do, and we extend that same commitment to our employees.

Ranked as one of America’s Best Startup Employers by Forbes for two years in a row, Fetch fosters a people-first culture rooted in trust, accountability, and innovation. We encourage our employees to challenge ideas, think bigger, and always bring the fun to Fetch.

Fetch is an equal employment opportunity employer.

Key Responsibilities

Technical Leadership

• Oversee the team designing, developing, and optimizing data pipelines and models using tools like DBT, Snowflake, Airflow, and AWS.
• Drive the development of innovative approaches to manage datasets involving millions of daily active users and terabytes of data using iterative data transformation and model AI strategies.
• Stay current with data management techniques; contribute to high-visibility, client-impact data pipeline projects.
• Help shape the data product strategy and roadmap to align with Fetch and client business goals.

Managerial Leadership

• Manage and mentor a team of skilled data professionals, fostering professional growth and ensuring high team and individual performance.
• Oversee project planning, prioritization, and execution, aligning efforts with organizational goals and individuals’ development.
• Collaborate with cross-functional teams (data engineers, analytics engineers, product managers, and analysts) on product development and operational support.

Stakeholder Engagement

• Meet with Fetch data product clients to share product knowledge and roadmaps.
• Support client communication to address operational issues, incident reports, and change requests.
• Translate client needs into practical requirements and scalable technical solutions.
• Guide clients in understanding and deriving value from shared data through requirements gathering, technical guidance, and consultation.

Qualifications

• 6+ years of professional experience in a technical role requiring advanced knowledge of data pipelines, data integration, and data quality initiatives.
• Proven experience in managing and leading technical teams.
• Strong proficiency in SQL and experience with data modeling and orchestration tools.
• Familiarity with relational (SQL) and non-relational (NoSQL) databases, as well as object data stores like Snowflake and DynamoDB.
• Experience with ETL/ELT processes, data warehouses, and business intelligence tools.
• Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Experience in requirements analysis and writing functional specs.
• Experience using Jira or similar task management platforms.
• Experience in data governance, standardization, and harmonization of large data sets.

Employment Type

• [Not Specified]

Location Type

• [Not Specified]

Salary

• [Not Specified]

Application Instructions

• [Not Specified]