Product Owners within the automotiveMastermind (aM) Data Integrations team have a robust analytical understanding of our data, enable and maximize opportunities presented by integrations with external data providers, and ensure that valid data is available for downstream usage.
Responsibilities:

• Work closely with Product Management and Data Strategy leadership to understand short and long-term roadmaps, and overall Data product strategy
• Drive backlog grooming agile sprint ceremony, acting as bridge between business needs and technical implementation
• Present on behalf of agile teams in sprint review, reiterating business value delivered with each work increment completed
• Develop expertise on the existing aM ecosystem of integrations and data available within the system
• Collaborate with data analysts, data management, data science, and engineering teams to develop short and long-term solutions to meet business needs and solve distinct problems
• Application of deep, creative, rigorous thinking to solve broad, platform-wide technical and/or business problems
• Identify key value drivers and key opportunities for/sources of error across products and processes
• Develop short-term preventive or detective measures, and leading medium/long-term product improvement initiatives arrived at via close collaboration with engineering, QA, and data support
• Coordinate with data engineers as appropriate to design and enable repeatable processes and generate deliverables to answer routine business questions

Qualifications:

• Minimum 3 years working experience as a Product Owner or Product Manager in an Agile scrum framework
• BS in mathematics, engineering, economics, statistics, computer science, information management or related quantitative field
• Experience using data and analytical processes to drive decision making, with ability to explain how analysis was done to an executive audience
• Strong knowledge of Agile development framework, with practical experience to support flexible application of principles
• Strong conceptual understanding of data integrations technologies and standards
• Working familiarity with road-mapping and issue tracking software applications (Aha!, MS Azure DevOps, Salesforce)
• Familiarity with Microsoft Excel, SQL, BigQuery, MongoDB, and Postman preferred
• An advocate for the importance of leveraging data, a supporter of the use of data analysis in decision-making, and a fierce promoter of data and engineering best practices throughout the organization. Passionate about empirical research
• A team player who is comfortable working with a globally distributed team across time zones
• A solid communicator, both with technology teams and with non-technical stakeholders
• Preferred: Experience with or awareness of and interest in dimensional data modeling concepts
• Preferred: Automotive industry experience

Equal Opportunity Employer:
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to: [email protected] and your request will be forwarded to the appropriate person.
US Candidates Only:
The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law.