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
