Senior Product Manager – Data Platforms


October 14, 2022

Job Description

ShyftLabs is looking for an experienced Senior Product Manager of Data Platforms who is passionate about developing data workflows and has a robust knowledge of data platforms. You will help lead product strategy and roadmaps, take ownership of end-to-end delivery of data products, and guide data governance best practices across internal teams. As a Senior Product Manager, you will be responsible for managing and directing existing data products and ideating new ones. You will also collaborate and work closely with leadership across data teams to drive the technical development of various data products toward market-ready solutions.
Collaborate with analytics, data science, engineering, product & business teams to ensure seamless product development
Define and communicate our data platform’s vision, strategy, and goals, as well as train and manage junior product managers
Develop product roadmaps, high-level epics and data products across multiple data platforms, define a roadmap and execute a plan to achieve that vision.
Lead the design, building, and launching of new data models, data pipelines, and data products, as well as detailed user stories for developing different components of the data processing ecosystem
Create processes for collecting feedback from users and prioritizing requests across business stakeholders
Work with engineering and data teams to build critical infrastructure and pipelines to support reporting and analytics needs
Define and analyze key insights to track the performance of our data products
Acquire, manage, transform and ensure timely access to business-critical data and insights
Lead data quality and governance standards in collaboration across all internal teams
Master’s degree in Business, Economics, Statistics, Data Science or another quantitative field
5+ years of product management experience, including delivery of entire products from start to finish
5+ years managing data platform related products (data processing, data warehousing, data ingestion, API design)
Prior experience with data processing technology (e.g. Spark, Hadoop) and workflow management tools (e.g. Airflow, dbt)
Prior experience managing complex internal/external data ingestion involving a variety of data types
Familiarity with core data science concepts and machine learning model pipelines/workflows
Ability to work effectively across remote teams, with a proven track record of taking end-to-end ownership and successfully delivering data products
Problem solver with a product mindset: Ability to problem solve complex issues and constantly think about how to make processes more efficient.
Experience with developing processes and tools to improve data productivity, quality and automating/optimizing data workflows.
Experience with managing data platforms in a retail ecosystem a plus