Senior Manager - Product Owner

Job description

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.

Skills