Data Product Owner

IHG

7h•$106,000 - $140,000•Hybrid

About The Position

Your day to day Responsible for identifying and analyzing gaps between current data capabilities and desired business outcomes, documenting requirements for complex, cross-functional data projects. Perform analysis of data sources, data models, and ETL/ELT processes to design and propose effective data solutions. Develop alternative designs, advising on options, risks, costs, and impacts on the broader data ecosystem. Maintain expert knowledge of our data platform, with a deep technical understanding of Google Cloud Platform (GCP) services and BigQuery. Maintain deep technical and architectural understanding of the data products, especially at points of interface with internal systems and processes. Responsible for collaborating with business partners and stakeholders to empower a data engineering team to produce technical solutions that address complex business needs. Effectively translate complex data concepts into a compelling business narrative for stakeholders, and conversely, translate business requirements into clear technical specifications for the engineering team. Create and validate data quality test scripts and user acceptance testing scenarios, working closely with data quality and business teams. Create and prioritize Features and User Stories, conveying the vision and requirements for our data products to the development team. What we need from you Advanced knowledge of product ownership within a data engineering context and a proficient understanding of modern data architecture, systems, and processes. Strong proficiency with Google Cloud Platform (GCP) and BigQuery. Expertise in SQL for complex data analysis and a strong understanding of data modeling, data warehousing, and ETL/ELT concepts. Ability to understand highly complex data and technical problems and build scalable, cross-functional solutions. Ability to strategically demonstrate analytical and conceptual skills needed to develop efficient and effective solutions for a variety of complex business problems. Exceptional storytelling and communication skills, with the ability to craft a clear narrative that translates technical information into business-friendly language and distills business needs into technical requirements. Ability to collaborate with Technical SMEs to deliver large, cross-functional data projects and initiatives. Experience working in Agile or, ideally, Scaled Agile Framework (SAFe) environments. Demonstrated proficiency in writing and presenting User Stories and Features, creating the right level of supporting artifacts to enable team understanding. Proven experience working with cloud-based data platforms is required. SAFe PO/PM certification preferred. SAFe Agilist certification preferred.

Requirements

Advanced knowledge of product ownership within a data engineering context and a proficient understanding of modern data architecture, systems, and processes.
Strong proficiency with Google Cloud Platform (GCP) and BigQuery.
Expertise in SQL for complex data analysis and a strong understanding of data modeling, data warehousing, and ETL/ELT concepts.
Ability to understand highly complex data and technical problems and build scalable, cross-functional solutions.
Ability to strategically demonstrate analytical and conceptual skills needed to develop efficient and effective solutions for a variety of complex business problems.
Exceptional storytelling and communication skills, with the ability to craft a clear narrative that translates technical information into business-friendly language and distills business needs into technical requirements.
Ability to collaborate with Technical SMEs to deliver large, cross-functional data projects and initiatives.
Experience working in Agile or, ideally, Scaled Agile Framework (SAFe) environments.
Demonstrated proficiency in writing and presenting User Stories and Features, creating the right level of supporting artifacts to enable team understanding.
Proven experience working with cloud-based data platforms is required.

Nice To Haves

SAFe PO/PM certification preferred.
SAFe Agilist certification preferred.

Responsibilities

Responsible for identifying and analyzing gaps between current data capabilities and desired business outcomes, documenting requirements for complex, cross-functional data projects.
Perform analysis of data sources, data models, and ETL/ELT processes to design and propose effective data solutions.
Develop alternative designs, advising on options, risks, costs, and impacts on the broader data ecosystem.
Maintain expert knowledge of our data platform, with a deep technical understanding of Google Cloud Platform (GCP) services and BigQuery.
Maintain deep technical and architectural understanding of the data products, especially at points of interface with internal systems and processes.
Responsible for collaborating with business partners and stakeholders to empower a data engineering team to produce technical solutions that address complex business needs.
Effectively translate complex data concepts into a compelling business narrative for stakeholders, and conversely, translate business requirements into clear technical specifications for the engineering team.
Create and validate data quality test scripts and user acceptance testing scenarios, working closely with data quality and business teams.
Create and prioritize Features and User Stories, conveying the vision and requirements for our data products to the development team.