Senior Manager - Product Owner
Summary
Lead the strategy and delivery of Data & AI products, aligning them with business goals and driving adoption across the organization.
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.