Product Manager – Business Intelligence

Job Description Define product vision, strategy, and roadmap based on business research, customer needs, and competitive analysis. Own business impact metrics, roadmap, and product budget. Collaborate with cross-functional teams, including business, engineering, and BI, to develop and launch new products or enhancements. Conduct audience and process research and analysis to identify customer needs and opportunities for product growth. Lead and manage product and project teams to ensure that delivery is up to impact outcomes, time, cost, quality, governance, and satisfaction, as per agreed product roadmaps. Prioritize product features and enhancements to achieve target business impact, working closely with development teams to ensure time-to-market and optimal costs. Gather and incorporate feedback from customers, stakeholders, and market trends to continuously improve products. Ensure appropriate change management is conducted in business processes. Monitors the emergence of new data development technologies and methodologies and where appropriate applies them to the data analytics development process. Requirements Bachelor or Master’s degree in Computer Science, Engineering, Information Systems. Min 8 years of experience in Data Analytics. Min 5 years of experience in Data-intensive product development. Strong product management skills, with experience in product strategy, roadmap planning, and product lifecycle management. Strong collaboration and stakeholder management skills, with the ability to work effectively with cross-functional, cross-cultural teams. Strong practice with Agile development methodologies, DevOps, and product management tools. Proven record of working with analytics, and ML / AI solutions. Excellent communication and presentation skills to effectively convey product concepts and benefits to internal stakeholders; ready to present to C-level. Analytical : Synthesize complex or diverse information; Able to source and prepare data; Design data flows and Data models; Challenge and re-validate conclusions. 2 Positions Available