Product Owner - Data Engineering

POSITION OVERIVEW

Fidelity National Financial (FNF) is seeking a Data Engineering Product Owner to join our Corporate IT team. As a Data Engineering Product Owner, you will lead the development and management of data engineering products, ensuring they meet business needs and drive strategic goals. You will function as a bridge between data engineering teams and business stakeholders, translating business needs into technical requirements and actionable product features.

LOCATION

• This role can sit 100% remote or at our HQ in Jacksonville, FL.

DUTIES & RESPONSIBILITIES

• Define the vision and roadmap for data engineering products.
• Align product goals with overall business objectives.
• Stay updated on industry trends and emerging technologies.
• Collaborate closely with stakeholders to identify key challenges and opportunities.
• Foster collaboration between data engineers, analysts, and business users.
• Translate business needs into clear technical requirements, and drive
• Prioritize product features based on business needs and technical feasibility.
• Oversee the development, deployment, and maintenance of data engineering products.
• Ensure products are scalable, secure, and compliant with data governance
• Keep stakeholders informed about product progress.
• Gather feedback and address concerns.
• Define metrics and KPIs to measure product success.
• Understand the modern cloud data stack and data engineering principles.
• Translate business requirements into technical specifications.
• Ensure data quality and integrity within data products.

MINIMUM REQUIREMENTS

• Bachelor’s degree in data engineering, computer science, business, or a related field.
• Proven experience in product management, preferably in data engineering or analytics.
• Strong understanding of data engineering principles and methodologies.
• Excellent communication and collaboration skills.
• Ability to think strategically and translate business needs into technical requirements. 

PREFERRED EXPERIENCE

• Experience with data pipelines, ETL/ELT processes, APIs, data warehousing, and data lakehouses.
• Familiarity with cloud platforms and big data technologies such as Microsoft Azure Data Factory, Databricks, Function Apps, API Management, and CosmosDB.
• Knowledge of data governance and compliance standards.