Automotive Data & Market Intelligence Product Owner

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November 21

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Kaizen Analytix

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B2B • SaaS • Artificial Intelligence

Kaizen Analytix is a company focused on providing data-driven insights and analytics solutions to businesses across multiple industries. They specialize in translating complex data into actionable insights that help businesses boost revenues, cut costs, save time, and improve margins. Kaizen offers a range of services, including customer insights and marketing analytics, technology and innovation, operations and supply chain management, and finance transformation and analytics. Their platform leverages AI to deliver configurable business solutions, aiming for rapid delivery and continuous improvement for their clients. Kaizen Analytix serves a diverse array of industries, including automotive, consumer, energy, and industrials, among others.

51 - 200 employees

Founded 2014

🤝 B2B

☁️ SaaS

🤖 Artificial Intelligence

📋 Description

• Partner with Product and Data Analytics leadership to define product strategy and roadmaps (short- and long-term). • Lead backlog grooming and prioritization, bridging business value with technical implementation. • Translate product features into clear backlog items with well-defined acceptance criteria. • Build user story maps, write user stories, manage backlog refinement and prioritization, and support acceptance test-driven development. • Create and maintain release documentation and ongoing training materials. • Represent agile teams in sprint reviews, articulating delivered business value. • Apply creative and rigorous problem-solving to address platform-wide technical and business challenges. • Identify key value drivers, opportunities, and sources of error across products and processes. • Lead short-term preventive measures and long-term product improvement initiatives in close collaboration with engineering, QA, and data support teams. • Coordinate with engineers to design repeatable processes and generate deliverables to answer routine business questions.

🎯 Requirements

• 8+ years of experience as a Product Owner in an Agile Scrum environment. • Masters degree in mathematics, engineering, economics, statistics, computer science, information management, or a related quantitative field. • Proven experience using data and analytics to drive decision-making, with ability to clearly explain analysis to executive stakeholders. • Deep understanding of Agile development principles with flexible, practical application. • Conceptual knowledge of data integration technologies and standards. • Hands-on experience with road-mapping and issue tracking tools (Aha!, MS Azure DevOps, Salesforce). • Familiarity with Excel, SQL, BigQuery, MongoDB, and Postman preferred. • Advocate for data-driven decision-making, empirical research, and engineering best practices. • Strong communication skills across technical and non-technical audiences. • Collaborative team player comfortable working with globally distributed teams across time zones.

🏖️ Benefits

• Gain exposure to senior leadership and mentors invested in your career growth. • Work on challenging problems that push boundaries in data-driven decision-making.