Hybrid Data Product Manager – Health Analytics

Optum; Dublin; Hybrid; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Private health insurance

Wellness programs

Matching pension contribution

Lunch provided by the company

Training opportunities

Employee donations matching

Job summary

Optum is seeking a Data Product Manager to join the Dublin-based team. You will own the discovery, prioritization, roadmap, and delivery of data-driven products, working with Data Engineering, Analytics, and Technology to turn data problems into scalable solutions.

You will develop a strong understanding of the data powering your products, define success metrics, and ensure governance and privacy throughout the lifecycle while thriving in a hybrid work setup between the Dublin office and

Qualifications

• Bachelor's degree in Computer Science, Data, Engineering, or a related discipline.
• Proven experience delivering data-driven products from discovery through production.
• Solid SQL proficiency with the ability to query, analyze, and validate data.
• Experience with data pipelines, ETL/ELT, data modeling, data quality, and governance.

Responsibilities

• Own the product vision, roadmap and backlog for data-driven products and capabilities.
• Translate business problems into clear product requirements with stakeholders.
• Collaborate with Data Engineering, Analytics, Architecture and Technology teams.
• Define user stories, acceptance criteria, and data requirements.
• Establish and monitor KPIs for product adoption and data quality.
• Lead Agile product practices including refinement and planning.

Skills

Solid communication

Analytical thinking

Stakeholder management

Problem solving

Education

Bachelor's degree in Computer Science or related

Tools

Databricks

SQL

ETL/ELT

Job description

Optum is seeking a Data Product Manager to join the Dublin-based team. You will own the discovery, prioritization, roadmap, and delivery of data-driven products, working with Data Engineering, Analytics, and Technology to turn data problems into scalable solutions.

You will develop a strong understanding of the data powering your products, define success metrics, and ensure governance and privacy throughout the lifecycle while thriving in a hybrid work setup between the Dublin office and