It's fun to work in a company where people truly BELIEVE in what they're doing!
We're committed to bringing passion and customer focus to the business.
Kyriba is a global leader in liquidity performance that empowers CFOs, Treasurers and IT leaders to connect, protect, forecast and optimize their liquidity. As a secure and scalable SaaS solution, Kyriba brings intelligence and financial automation that enables companies and banks of all sizes to improve their financial performance and increase operational efficiency. Kyriba’s real-time data and AI-empowered tools empower its 3,000 customers worldwide to quantify exposures, project cash and liquidity, and take action to protect balance sheets, income statements and cash flows. Kyriba manages more than 3.5 billion bank transactions and $15 trillion in payments annually and gives customers complete visibility and actionability, so they can optimize and fully harness liquidity across the enterprise and outperform their business strategy. For more information, visit www.kyriba.com.
About the role
The Sr.Data Product Owner is responsible for creating and improving Data Analytics products that will help Kyriba’s customers make smarter decisions based upon facts and predictions.
Essential duties and responsibilities
Gain a deep understanding of customer experience, identify and fill product gaps and generate new ideas that grow market share, improve customer experience, and drive growth.
Translate the product strategy into detailed requirements and prototypes.
Scope and prioritize the roadmap based on business and customer impact.
Work closely with engineering teams to set up and maintain a planning to deliver with quick time-to-market and optimal resources.
Ensure that the delivered solutions meet the level of expected quality.
Drive product launches, including working with other product management teams, marketing team, pre-sales, and sales.
Education, Experience & Skills
Analytical skills and be able to understand the underlying technical matters.
Ability to manage all aspects of a successful product throughout its lifecycle.
Solid Analytics background with understanding and hands-on experience in Business Intelligence technologies.
Strong problem-solving skills.
Skilled at working effectively with cross functional and international teams, across time zones.
Excellent written and verbal communication skills in English.
Proven experience in working with an Agile methodology.
A passion to share experience and knowledge with a team.
Bac +5, MS/BS degree in Computer Science, Engineering or equivalent preferred.
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