VP, Head of Information Services

About Us

Our EVP

About the Role

Working Conditions

• Primarily office-based with occasional travel required for meetings, conferences, and training sessions.
• Fast-paced and dynamic work environment.

Key Responsibilities

• Own and manage internal data products and platforms, ensuring reliable, scalable, and secure data availability for business use cases.
• Lead development and management of enterprise data infrastructure, including global data lake capabilities and core data architecture.
• Oversee major data programs and transformations, including platform migrations and data architecture evolution.
• Ensure timely and accurate data provisioning to key business functions (Finance, Sales, CRM, cross-sell, and internal applications), with clear SLA adherence.
• Define and enforce data governance standards, including data quality, taxonomy, master data (KYC/KYB), and access control frameworks.
• Enable analytics, AI, and automation use cases through structured and high-quality data pipelines.
• Own internal BI and reporting capabilities, including dashboards and analytical tools (e.g., Qlik).
• Manage enterprise data access, compliance, and audit requirements, ensuring traceability and regulatory alignment.
• Oversee data platforms, tools, vendors, and software licensing, ensuring performance and cost efficiency.
• Drive development of unified data layers and internal data services to enable consistent access across the organization.
• Support data enrichment initiatives and advanced analytics use cases (e.g., churn, lead generation) aligned with enterprise data standards.
• Contribute to strategic initiatives such as company-wide data intelligence capabilities (e.g., “Talk to Data”).

Qualifications

• :
• Minimum 15 years of experience in data platforms, data engineering, and analytics, with end-to-end ownership of data products and infrastructure.
• Strong expertise in enterprise data architecture, including data lakes, data warehousing, and large-scale data platform management.
• Proven experience implementing data governance frameworks, including data quality, taxonomy, master data (e.g., KYC/KYB), and access controls.
• Demonstrated ability to deliver data solutions for internal stakeholders, including Finance reporting, CRM, Sales dashboards, and operational platforms.
• Experience supporting AI, analytics, and automation initiatives through structured data environments and scalable data pipelines.
• Track record of managing complex data transformation programs, including platform migrations and cross-regional implementations.
• Experience with business intelligence and reporting tools (e.g., Qlik, Power BI), with oversight of internal dashboards and analytical solutions.
• Strong stakeholder management skills, with experience working across Technology, Finance, Sales, Risk, and Product teams.
• Experience managing data platforms, vendors, and software licensing, ensuring performance and cost control.
• Proven leadership experience managing teams across geographies, with clear focus on delivery discipline and execution.
• Strong analytical and structured thinking, with the ability to translate business requirements into scalable data solutions.
• Ability to operate effectively in a complex, fast-paced environment, with clear prioritization across multiple initiatives.