Senior Manager - Product Owner

Lead the strategy, governance, delivery, and continuous enhancement of Data & AI products to maximize business value realization. Drive product vision, portfolio prioritization, stakeholder alignment, product adoption, and execution excellence while ensuring alignment with organizational objectives and data-driven transformation initiatives Key Responsibilities - Define and maintain the Development Data & AI product strategies and roadmaps. - Establish & maintain product vision, objectives, KPIs, and value realization measures. - Prioritize initiatives and investments based on business impact and strategic alignment. - Manage a portfolio of data, AI, analytics, and digital products. - Lead the end-to-end lifecycle of Data & AI products. - Oversee backlog prioritization, sprint planning, and release management. - Ensure delivery timelines, budget adherence, and expected business outcomes. - Resolve strategic delivery risks and roadblocks. - Engage executive stakeholders to define priorities and strategic direction. - Act as the primary bridge between business, technology, design, and data teams. - Drive product adoption and business engagement across the organization. - Champion user-centric design principles. - Oversee user research, journey mapping, and product usability assessments. - Ensure intuitive, scalable, and high-value user experiences. - Establish product governance standards and operating procedures. - Monitor product quality, performance, reliability, and compliance. - Ensure adherence to Data Governance, PDPL, security, and organizational standards. - Lead and mentor Product Owners, Business Analysts, and Product Management resources. - Establish product management methodologies, templates, and standards. - Build organizational capabilities across product management disciplines. Requirements - Bachelor's degree in Data Science, Computer Science, Engineering, Information Systems, or related field. Master's degree preferred. - 7+ years of experience in Product Management, Data Products, Analytics, or AI-related domains. - Proven experience managing enterprise-scale product portfolios. - Strong understanding of Data & AI platforms, governance, analytics, and digital transformation. - Professional certifications in Product Management, Agile, Project Management, or Change Management preferred.

Bachelor's degree in Data Science, Computer Science, Engineering, Information Systems, or related field. Master's degree preferred. 7+ years of experience in Product Management, Data Products, Analytics, or AI-related domains. Proven experience managing enterprise-scale product portfolios. Strong understanding of Data & AI platforms, governance, analytics, and digital transformation. Professional certifications in Product Management, Agile, Project Management, or Change Management preferred.

Define and maintain the Development Data & AI product strategies and roadmaps. Establish & maintain product vision, objectives, KPIs, and value realization measures. Prioritize initiatives and investments based on business impact and strategic alignment. Manage a portfolio of data, AI, analytics, and digital products. Lead the end-to-end lifecycle of Data & AI products. Oversee backlog prioritization, sprint planning, and release management. Ensure delivery timelines, budget adherence, and expected business outcomes. Resolve strategic delivery risks and roadblocks. Engage executive stakeholders to define priorities and strategic direction. Act as the primary bridge between business, technology, design, and data teams. Drive product adoption and business engagement across the organization. Champion user-centric design principles. Oversee user research, journey mapping, and product usability assessments. Ensure intuitive, scalable, and high-value user experiences. Establish product governance standards and operating procedures. Monitor product quality, performance, reliability, and compliance. Ensure adherence to Data Governance, PDPL, security, and organizational standards. Lead and mentor Product Owners, Business Analysts, and Product Management resources. Establish product management methodologies, templates, and standards. Build organizational capabilities across product management disciplines.