Enterprise Data Product Manager — Governance & Cloud Platforms

Scorpion Therapeutics; Minnesota; On-site; USD 120,000 - 180,000; Full time

Job summary

Scorpion Therapeutics is seeking a Product Manager for Data-Enterprise to lead strategic development and management of enterprise data products for Finance, HR, IT, and Legal from Maplewood, MN, with relocation support. Role focuses on vision, roadmaps, governance, data quality, security, and regulatory compliance.

Ideal candidate has 8+ years in data product management, strong data architecture knowledge, and hands-on experience with AWS, Snowflake, and Databricks, plus agile delivery and

Qualifications

• Bachelor's degree in Business, Finance, IT, HR or Data Science; 8+ years in data product management or analytics leadership.
• Experience managing cross-functional teams and data portfolios; strong data architecture and cloud knowledge.
• Excellent communication for executive stakeholder influence; familiarity with agile methodologies.

Responsibilities

• Define vision and roadmaps aligned with enterprise data strategy; establish data management standards; oversee portfolio lifecycle.
• Ensure data products are scalable, interoperable, compliant; deliver value through outcome-driven measurement and governance.

Skills

Data product management

Data strategy

Analytics leadership

Cross-functional collaboration

Data architecture

Data governance

Agile methodologies

Executive stakeholder influence

Data marketplace tools

Education

Bachelor's degree in Business, Finance, IT, HR, or Data Science

Tools

AWS

Snowflake

Databricks

DataOps

Governance frameworks

FinOps

Job description

Scorpion Therapeutics is seeking a Product Manager for Data-Enterprise to lead strategic development and management of enterprise data products for Finance, HR, IT, and Legal from Maplewood, MN, with relocation support. Role focuses on vision, roadmaps, governance, data quality, security, and regulatory compliance.

Ideal candidate has 8+ years in data product management, strong data architecture knowledge, and hands-on experience with AWS, Snowflake, and Databricks, plus agile delivery and