Senior Manager Product Owner

Key responsibilities

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.

• Define and maintain the development data & AI product strategies and roadmaps.
• Establish and 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.