Defines and executes the team's Data Strategy, aligned with the company's broader analytics and AI roadmap (ASAP), enabling the shift from descriptive to predictive and prescriptive decision-making.
Leads the organization-wide transformation toward a data-driven culture, embedding analytics into business planning, sales optimization, and customer experience design.
Provides a consultative and advisory role to company's leadership teams ensuring insights guide strategic and operational decisions.
Partners with C-suite and BU heads to identify growth opportunities and operational levers to translate strategic priorities into measurable metrics, analytics solutions, and actionable.
Leads the enablement of all AI initiatives, ensuring machine-learning capabilities (e.g., automated insights, anomaly detection, predictive scoring) are embedded into business workflows.
Partners with the Data Office and Tech to industrialize advanced analytics models and deploy machine learning solutions that accelerate speed-to-insight and decision automation.
Drives experimentation with generative AI, customer intelligence tools, and intelligent assistants to enhance go-to-market productivity and customer engagement.
Acts as the Group Analytics Partner, delivering data-driven advisory and solutions to subsidiaries and functional teams beyond the group's domain.
Leads the design and rollout of enterprise-wide analytics enablement programs to enhance data literacy, ensuring the group leaders and teams can independently interpret and use insights for decision-making.
Leads, coaches, and develops high-performing teams across multiple analytics disciplines Business Insights, Business Analytics, Data Management, and AI Enablement.
Qualifications:
At least 15 years in data analytics, business intelligence, or data strategy, with at least 57 years in senior leadership within fintech, banking, or digital enterprises.
Proven success in driving AI and analytics transformation programs that influenced enterprise growth.
Track record of partnering with senior executives to translate analytics into measurable business impact.
Demonstrated experience in building, scaling, and mentoring multidisciplinary analytics teams.
