Product Data Manager

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

Role Description

Data Product Manager who will be responsible for supporting significant system changes to turn the organization’s data into scalable, high value products- such as curated datasets, analytics platforms, and data infrastructure. This role will lead efforts across data engineering, data science, and business strategy that help mature data practices and teams and drive organizational efforts to shift to new data lakes and data curation platforms from current legacy main frame systems. Partnering closely with data engineering, data science, analytics, and business policy and administration, the Data Product Manager will facilitate and help drive the path towards trusted, reusable, governed, and consumable data assets across the enterprise .

Responsibilities

• oDefine the vision and roadmap for data products (e.g., data platforms, analytics tools, ML infrastructure).
• oIdentify high value opportunities by investigating the data landscape, pain points, and business needs.
• oAlign data product strategy with organizational priorities and long-term data architecture, in partnership with the Enterprise Architecture team and various interested parties.
• oConnect data capabilities to business outcomes and organize efforts to achieve the business outcomes.
• oAlign engineering, analytics, and business teams. Uses metrics to guide prioritization and product evolution.
• oLead the end-to-end lifecycle of data products: requirements, design, development, testing, launch, and iteration.
• oPartner with data engineers and data scientists to build scalable pipelines, models, and data services. Ensure data quality, governance, lineage, and documentation standards are met.
• oTranslate business logic into data transformations, metadata, and domain specific rules.Skilled in or adept at data architecture, modeling, and pipelines.
• oEnsures data products are reliable, governed, and scalable.

Qualifications

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

Experience in a highly regulated industry performing statistical analysis and reporting.