
Data Product Owner
19 hours ago
Department overviewAutomotiveMastermind provides U.S. automotive dealers with AI/behavior prediction analytics software and marketing solutions that improve the vehicle purchase process and results. The companys cloud-based technology helps dealers precisely predict automobile-buying behavior and automates the creation of microtargeted customer communications, leading to proven higher sales and more consistent customer retention.
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
What Were Looking For:Basic Required Qualifications:
- Minimum 4 years working experience as a Product Owner or Product Manager in an Agile scrum framework
- 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
- qualified.
Grade: 9
Location: Gurgaon Hybrid Mode: twice a week work from office
Shift Time: 12 pm to 9 pm IST
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