Senior Data Product Manager - Enterprise Data, Remote

SIC Standard Insurance Company - 3000; United States; Remote; USD 137,000 - 233,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) plan with company matching

Annual incentive bonus

PTO and holidays

Parental leave

Volunteer hours

Employee giving program

Job summary

The Standard is seeking a Sr. Product Manager within Enterprise Data to turn enterprise data into reliable products for internal teams, analytics, and AI solutions. You will own strategy, roadmap, and outcomes for an enterprise data-product portfolio.

Collaborating with Data Engineering, Architecture, Governance, Analytics, and business units, you will translate data needs into capabilities, define success measures, and drive adoption and value realization across the data lifecycle.

Qualifications

• 8+ years of progressive experience in product management, data, analytics, technology, or a related business environment.
• Experience with enterprise data products and cross-functional collaboration.
• Strong discovery, strategy, and lifecycle-management skills.

Responsibilities

• Own portfolio vision, strategy, lifecycle, and a forward-looking roadmap.
• Translate customer problems and enterprise strategy into priorities.
• Define customers, problem, value proposition, and outcomes.
• Balance development with technical debt, quality, modernization, and lifecycle needs.
• Partner with Data Engineering and Architecture to build scalable data products.
• Drive adoption and measure business outcomes.
• Mentor Product Managers and Product Owners.

Skills

Product management

Data product

Stakeholder management

Discovery

Roadmapping

Education

High school diploma or GED

Bachelor’s degree preferred

Tools

Azure Databricks

Delta Lake

Unity Catalog

SQL

APIs

Job description

The Standard is seeking a Sr. Product Manager within Enterprise Data to turn enterprise data into reliable products for internal teams, analytics, and AI solutions. You will own strategy, roadmap, and outcomes for an enterprise data-product portfolio.

Collaborating with Data Engineering, Architecture, Governance, Analytics, and business units, you will translate data needs into capabilities, define success measures, and drive adoption and value realization across the data lifecycle.