Sr Mgr IS Product Data & AI

The Data & AI Sr Product Manager leads the development and execution of data and artificial intelligence strategies for International, ensuring alignment with business objectives and fostering innovation.

Top Responsibilities / Outcomes Expected

1. Defines and executes Data & AI strategy & roadmaps that align with organizational goals to maximize business value delivery from data & AI products.
2. Manages end-to-end lifecycle of data & AI products, from ideation and development to production, maintenance, continuous improvement, and end-of-life.
3. Partners with business, data, operations, platform, and tech teams (engineers, UX designers) to drive success.
4. Establishes, monitors and reports key performance indicators, escalates issues promptly, and provides data-driven recommendations.
5. Supervises, mentors, and develops a high-performing team of data & AI professionals, fostering a culture of continuous learning and innovation.
6. Drives agile best practices and ensures that agile frameworks are embedded in the team’s operation.
7. Leverages insights, experimentation, and benchmarking to assess and validate AI & data product effectiveness, ensuring alignment between business value and industry trends.

Scope

(Key Deliverables)

• Data & AI Strategy Roadmap: Develop and maintain a strategic plan that aligns data and AI initiatives with the organization's business objectives. ​
• Data & AI Product Portfolio: Oversee the lifecycle of AI and data products, ensuring they deliver measurable business value. ​
• Data & AI Experimentation: From product ideation and design, through test-and-learn, to solution and value delivery.
• Performance & Value Measurement: Define key performance indicators (KPIs) to assess the impact of AI initiatives on business value.
• Key Results: Defining and delivering against product/business OKRs.

Knowledge, Skills & Abilities

• Expert in product management – Strategic planning, establishing vision, and roadmap for Data and AI products.
• Expert in agile ways of working – Agile practices & frameworks (SAFe, Scrum, Kanban).
• Expert in data engineering, AI, machine learning, and cloud platforms.
• Skilled in data & AI solution adoption and change management.
• Proven ability to oversee and deliver multiple data & AI projects/products.
• Knowledge on how data & AI can optimize business operations.
• Ability to manage budgets and assess the financial impact of data & AI initiatives.
• Ability to develop long-term data & AI strategies that drive business value.
• Strong analytical skills to interpret complex data and provide actionable insights.
• Proven ability to lead and mentor cross-functional teams
• Stakeholder management to align Data & AI initiatives with business goals.

Experience & Education

• MBA or master’s degree in computer science, engineering, information systems, analytics, mathematics, or a related field
• 10-15 years of experience working in a technical environment with a broad, cross-functional team to drive product vision
• Relevant certifications in Data Engineering, Data Science, AI, product management, or agile methodologies are desirable.