Data Product Manager: Build Scalable Data Platforms

AM Solutions and Consulting; Minneapolis, Saint Paul (MN, MN); On-site; USD 110,000 - 160,000; Full time

Job summary

AM Solutions and Consulting seeks a Data Product Manager to lead efforts turning organizational data into scalable, high-value products such as curated datasets, analytics platforms, and data infrastructure. You will steer initiatives across data engineering, data science, and business strategy to mature data practices and support migration to new data lakes and curation platforms from legacy systems.

You will partner with data engineers, data scientists, and business policy teams to deliver

Qualifications

• 7+ years of experience in data management, analytics, engineering, or related fields.
• Demonstrated product leadership and ability to operate in ambiguity.
• Strong understanding of data systems: pipelines, warehousing, modeling, metadata, governance.
• Proficiency collaborating with data architecture, engineering and science teams.
• Ability to translate complex technical concepts into business-friendly language.
• Strong communication, prioritization, and stakeholder management.
• Experience with analytics tools (dbt, Looker, Tableau, Power BI, Google Analytics).
• Understanding of data sharing constraints and agreements.
• Experience with SQL, data lakes, data pipelines/ETL.
• Significant experience with Databricks.
• Familiarity with Java and Python.
• Background in building internal platforms or developer-facing products.
• Experience implementing modern data architectures.

Responsibilities

• Define the vision and roadmap for data products (e.g., data platforms, analytics tools, ML infrastructure).
• Identify high-value opportunities by investigating the data landscape, pain points, and business needs.
• Align data product strategy with organizational priorities and long-term data architecture, with Enterprise Architecture.
• Connect data capabilities to business outcomes and organize efforts to achieve them.
• Align engineering, analytics, and business teams; use metrics to guide prioritization and product evolution.
• Lead the end-to-end lifecycle of data products: requirements, design, development, testing, launch, and iteration.
• Partner with data engineers and data scientists to build scalable pipelines, models, and data services; ensure data quality, governance, lineage, and documentation standards.
• Translate business logic into data transformations, metadata, and domain-specific rules; adept at data architecture, modeling, and pipelines.
• Ensure data products are reliable, governed, and scalable.

Skills

Data management

Product leadership

Data analytics

Data engineering

Data science

SQL

Databricks

Java

Python

Data lakes

Data pipelines

Governance

Tools

dbt

Looker

Tableau

Power BI

Job description

AM Solutions and Consulting seeks a Data Product Manager to lead efforts turning organizational data into scalable, high-value products such as curated datasets, analytics platforms, and data infrastructure. You will steer initiatives across data engineering, data science, and business strategy to mature data practices and support migration to new data lakes and curation platforms from legacy systems.

You will partner with data engineers, data scientists, and business policy teams to deliver